• Stars
    star
    305
  • Rank 131,758 (Top 3 %)
  • Language
    Shell
  • License
    Apache License 2.0
  • Created about 6 years ago
  • Updated over 1 year ago

Reviews

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Repository Details

Demonstrates the steps involved in setting up your business network on Hyperledger Fabric using Kubernetes APIs on IBM Cloud Kubernetes Service.

Deploy Hyperledger Fabric network on IBM Cloud

Set up your business network using Kubernetes APIs on IBM Cloud Container Service

Read this in other languages: 한국어.

Blockchain is a shared, immutable ledger for recording the history of transactions. The Linux Foundation’s Hyperledger Fabric, the software implementation of blockchain IBM is committed to, is a permissioned network. For developing any blockchain use-case, the very first thing is to have a development environment for Hyperledger Fabric to create and deploy the application. Hyperledger Fabric network can be setup in multiple ways.

This code pattern demonstrates the steps involved in setting up your business network on Hyperledger Fabric using Kubernetes APIs on IBM Cloud Kubernetes Service.

Hosting the Hyperledger Fabric network on IBM Cloud provides you many benefits like multiple users can work on the same setup, the setup can be used for different blockchain applications, the setup can be reused and so on. Please note that the blockchain network setup on Kubernetes is good to use for demo scenarios but for production, it is recommended to use IBM Blockchain Platform hosted on IBM Cloud.

Kubernetes Cluster

IBM Cloud Kubernetes Service allows you to create a free cluster that comes with 2 CPUs, 4 GB memory, and 1 worker node. It allows you to get familiar with and test Kubernetes capabilities. However they lack capabilities like persistent NFS file-based storage with volumes.

To setup your cluster for maximum availability and capacity, IBM Cloud allows you to create a fully customizable, production-ready cluster called standard cluster. Standard clusters allow highly available cluster configurations such as a setup with two clusters that run in different regions, each with multiple worker nodes. Please see https://cloud.ibm.com/docs/containers?topic=containers-cs_ov#cluster_types to review other options for highly available cluster configurations.

This pattern uses a free cluster provided by IBM Cloud and it can be used for proof-of-concept purpose. This pattern provides you the scripts to automate the process for setting up Hyperledger Fabric network using Kubernetes APIs on IBM Cloud.

When the reader has completed this pattern, they will understand how to:

  • modify configuration files according to their network topology
  • deploy the hyperledger fabric network on Kubernetes cluster

Flow

  1. Log in to IBM Cloud CLI and initialize IBM Cloud Kubernetes Service plugin.
  2. Set context for Kubernetes cluster using CLI and download Kubernetes configuration files. After downloading configuration files, set KUBECONFIG environment variable.
  3. Run script to deploy your hyperledger fabric network on Kubernetes cluster.
  4. Access Kubernetes dashboard.

Included components

  • Hyperledger Fabric: Hyperledger Fabric is a platform for distributed ledger solutions underpinned by a modular architecture delivering high degrees of confidentiality, resiliency, flexibility and scalability.

  • IBM Cloud Kubernetes Service: IBM Kubernetes Service enables the orchestration of intelligent scheduling, self-healing, and horizontal scaling.

Featured technologies

  • Blockchain: A blockchain is a digitized, decentralized, public ledger of all transactions in a network.

  • Kubernetes Cluster: In Kubernetes Engine, a container cluster consists of at least one cluster master and multiple worker machines called nodes. A container cluster is the foundation of Kubernetes Engine.

Watch the Video

Kubernetes Concepts Used

  • Kubernetes Pods - Pods represent the smallest deployable units in a Kubernetes cluster and are used to group containers that must be treated as a single unit.
  • Kubernetes Jobs - A job creates one or more pods and ensures that a specified number of them successfully terminate. As pods successfully complete, the job tracks the successful completions.
  • Kubernetes Deployment - A deployment is a Kubernetes resource where you specify your containers and other Kubernetes resources that are required to run your app, such as persistent storage, services, or annotations.
  • Kubernetes Services - A Kubernetes service groups a set of pods and provides network connection to these pods for other services in the cluster without exposing the actual private IP address of each pod.
  • Kubernetes Persistent Volumes (PV) - PersistentVolumes are a way for users to claim durable storage such as NFS file storage.

Prerequisites

Steps

Follow these steps to setup and run this code pattern.

  1. Create a Kubernetes Cluster on IBM Cloud
  2. Setting up CLIs
  3. Gain access to your Kubernetes Cluster
  4. Deploy Hyperledger Fabric Network into Kubernetes Cluster
  5. Test the deployed network
  6. View the Kubernetes Dashboard
  7. Connect the network using client SDK

1. Create a Kubernetes Cluster on IBM Cloud

  • Create a Kubernetes cluster with IBM Cloud Kubernetes Service using GUI. This pattern uses the free cluster.

    Note: It can take up to 15 minutes for the cluster to be set up and provisioned.

2. Setting up CLIs

  • Install IBM Cloud CLI. The prefix for running commands by using the Bluemix CLI is ibmcloud.

  • Install Kubernetes CLI. The prefix for running commands by using the Kubernetes CLI is kubectl.

  • Install the kubernetes service plugin using the following command ibmcloud plugin install container-service -r Bluemix

3. Gain access to your Kubernetes Cluster

Access the IBM Cloud Dashboard. Choose the same cloud foundry org and cloud foundry space where cluster is created.

  • Check the status of your cluster IBM Cloud Dashboard -> <your cluster> -> Worker Nodes. If status is not normal, then you need to wait for some more time to proceed further.

  • Once your cluster is ready, open the access tab IBM Cloud Dashboard -> <your cluster> -> Access as shown in snapshot.

  • Perform the steps provided under the section Gain access to your cluster.

  • Verify that the kubectl commands run properly with your cluster by checking the Kubernetes CLI server version.

    $ kubectl version  --short
    Client Version: v1.14.6
    Server Version: v1.16.8+IKS
    

4. Deploy Hyperledger Fabric Network into Kubernetes Cluster

Understand the network topology

This pattern provides a script which automatically provisions a sample Hyperledger Fabric network consisting of four organizations, each maintaining one peer node, and a 'solo' ordering service. Also, the script creates a channel named as channel1, joins all peers to the channel channel1, install chaincode on all peers and instantiate chaincode on channel. The pattern also helps to drive execution of transactions against the deployed chaincode.

Copy Kubernetes configuration scripts

Clone or download the Kubernetes configuration scripts to your user home directory.

$ git clone https://github.com/IBM/blockchain-network-on-kubernetes

Navigate to the source directory

$ cd blockchain-network-on-kubernetes
$ ls

In the source directory,

  • configFiles contains Kubernetes configuration files
  • artifacts contains the network configuration files
  • *.sh scripts to deploy and delete the network

Modify the Kubernetes configuration scripts

If there is any change in network topology, need to modify the configuration files (.yaml files) appropriately. The configuration files are located in artifacts and configFiles directory. For example, if you decide to increase/decrease the capacity of persistent volume then you need to modify createVolume.yaml.

The Kubernetes Server version v1.11.x or above uses containerd as its container runtime therefore using docker.sock of the worker node is not possible. You need to deploy and use a Docker daemon in a container. In case, your Kubernetes server version is smaller than 1.11.x then you need to modify the configFiles/peersDeployment.yaml file to point to a Docker service. Change instances of tcp://docker:2375 to unix:///host/var/run/docker.sock with a text editor.

Run the script to deploy your Hyperledger Fabric Network

Once you have completed the changes (if any) in configuration files, you are ready to deploy your network.

Check your kubectl CLI version as:

$ kubectl version --short

This command will give you Client Version and Server Version. If the Client version > v1.11.x i.e. 1.12.x or more then use setup_blockchainNetwork_v2.sh to set up the network. Run the following command:

cp setup_blockchainNetwork_v2.sh setup_blockchainNetwork.sh

If the Client version <= v1.11.x then use setup_blockchainNetwork_v1.sh to setup the network. Copy the script as shown.

cp setup_blockchainNetwork_v1.sh setup_blockchainNetwork.sh

Now execute the script to deploy your hyperledger fabric network.

$ chmod +x setup_blockchainNetwork.sh
$ ./setup_blockchainNetwork.sh

If you are using a Standard IKS cluster with multiple workers nodes, do ./setup_blockchainNetwork.sh --paid so that the shared volume of the blockchain containers would work properly.

Note: Before running the script, please check your environment. You should able to run kubectl commands properly with your cluster as explained in step 3.

Delete the network

If required, you can bring your hyperledger fabric network down using the script deleteNetwork.sh. This script will delete all your pods, jobs, deployments etc. from your Kubernetes cluster.

$ chmod +x deleteNetwork.sh
$ ./deleteNetwork.sh

5. Test the deployed network

After successful execution of the script setup_blockchainNetwork.sh, check the status of pods.

$ kubectl get pods
NAME                                    READY     STATUS    RESTARTS   AGE
blockchain-ca-7848c48d64-2cxr5          1/1       Running   0          4m
blockchain-orderer-596ccc458f-thdgn     1/1       Running   0          4m
blockchain-org1peer1-747d6bdff4-4kzts   1/1       Running   0          4m
blockchain-org2peer1-7794d9b8c5-sn2qf   1/1       Running   0          4m
blockchain-org3peer1-59b6d99c45-dhtbp   1/1       Running   0          4m
blockchain-org4peer1-6b6c99c45-wz9wm    1/1       Running   0          4m

As mentioned above, the script joins all peers on one channel channel1, install chaincode on all peers and instantiate chaincode on channel. It means we can execute an invoke/query command on any peer and the response should be same on all peers. Please note that in this pattern tls certs are disabled to avoid complexity. In this pattern, the CLI commands are used to test the network. For running a query against any peer, need to get into a bash shell of a peer, run the query and exit from the peer container.

Use the following command to get into a bash shell of a peer:

$ kubectl exec -it <blockchain-org1peer1 pod name> bash

And the command to be used to exit from the peer container is:

# exit

Note: Stay logged into your peer to complete these commands.

Query

Chaincode was instantiated with the values as { a: 100, b: 200 }. Let’s query to org1peer1 for the value of a to make sure the chaincode was properly instantiated.

peer chaincode query -C channel1 -n cc -c '{"Args":["query","a"]}'

Invoke

Now let’s submit a request to org2peer1 to move 20 from a to b. A new transaction will be generated and upon successful completion of transaction, state will get updated.

peer chaincode invoke -o blockchain-orderer:31010 -C channel1 -n cc -c '{"Args":["invoke","a","b","20"]}'

Query

Let’s confirm that our previous invocation executed properly. We initialized the key a with a value of 100 and just removed 20 with our previous invocation. Therefore, a query against a should show 80 and a query against b should show 220. Now issue the query request to org3peer1 and org4peer1 as shown.

peer chaincode query -C channel1 -n cc -c '{"Args":["query","a"]}'
peer chaincode query -C channel1 -n cc -c '{"Args":["query","b"]}'

6. View the Kubernetes Dashboard

Go to the IBM Cloud dashboard -> Clusters -> <Your Kubernetes cluster>

Click on the button entitled Kubernetes Dashboard,

you will see the dashboard as shown.

The hyperledger fabric network is ready to use. You can start developing your blockchain applications using node sdk for this deployed network.

7. Connect the network using client SDK

To develop your blockchain application on this deployed network, you need to connect to this network using client SDK. To connect to the network:

  • Get the public IP of your kubernetes cluster from IBM Cloud Dashboard.
  • Connect using this public IP and the ports exposed using services. For example: The node port for CA is 30054 hence CA Client url will be http://< public IP of your cluster >:30054/

In this way, the CA client using node SDK can be created as:

fabric_ca_client = new Fabric_CA_Client('http://< public IP of your cluster >:30054/', tlsOptions , 'CA1', crypto_suite);

Similarly the following code can be used to setup the fabric network.

// setup the fabric network
var fabric_client = new Fabric_Client();

var channel = fabric_client.newChannel('channel1');
var peer = fabric_client.newPeer('grpc://< public IP of your cluster >:30110');
channel.addPeer(peer);
var order = fabric_client.newOrderer('grpc://< public IP of your cluster >:31010')
channel.addOrderer(order);

Troubleshooting

See DEBUGGING.md.

Reference Links

License

This code pattern is licensed under the Apache Software License, Version 2. Separate third party code objects invoked within this code pattern are licensed by their respective providers pursuant to their own separate licenses. Contributions are subject to the Developer Certificate of Origin, Version 1.1 (DCO) and the Apache Software License, Version 2.

Apache Software License (ASL) FAQ

More Repositories

1

sarama

Sarama is a Go library for Apache Kafka.
Go
10,858
star
2

plex

The package of IBM’s typeface, IBM Plex.
CSS
9,297
star
3

css-gridish

Automatically build your grid design’s CSS Grid code, CSS Flexbox fallback code, Sketch artboards, and Chrome extension.
CSS
2,253
star
4

openapi-to-graphql

Translate APIs described by OpenAPI Specifications (OAS) into GraphQL
TypeScript
1,594
star
5

Project_CodeNet

This repository is to support contributions for tools for the Project CodeNet dataset hosted in DAX
Python
1,485
star
6

fp-go

functional programming library for golang
Go
1,480
star
7

pytorch-seq2seq

An open source framework for seq2seq models in PyTorch.
Python
1,431
star
8

fhe-toolkit-linux

IBM Fully Homomorphic Encryption Toolkit For Linux. This toolkit is a Linux based Docker container that demonstrates computing on encrypted data without decrypting it! The toolkit ships with two demos including a fully encrypted Machine Learning inference with a Neural Network and a Privacy-Preserving key-value search.
C++
1,427
star
9

ibm.github.io

IBM Open Source at GitHub
JavaScript
1,106
star
10

MicroscoPy

An open-source, motorized, and modular microscope built using LEGO bricks, Arduino, Raspberry Pi and 3D printing.
Python
1,102
star
11

Dromedary

Dromedary: towards helpful, ethical and reliable LLMs.
Python
1,059
star
12

MAX-Image-Resolution-Enhancer

Upscale an image by a factor of 4, while generating photo-realistic details.
Python
863
star
13

elasticsearch-spark-recommender

Use Jupyter Notebooks to demonstrate how to build a Recommender with Apache Spark & Elasticsearch
Jupyter Notebook
806
star
14

differential-privacy-library

Diffprivlib: The IBM Differential Privacy Library
Python
774
star
15

build-blockchain-insurance-app

Sample insurance application using Hyperledger Fabric
JavaScript
719
star
16

FfDL

Fabric for Deep Learning (FfDL, pronounced fiddle) is a Deep Learning Platform offering TensorFlow, Caffe, PyTorch etc. as a Service on Kubernetes
Go
676
star
17

spring-boot-microservices-on-kubernetes

In this code we demonstrate how a simple Spring Boot application can be deployed on top of Kubernetes. This application, Office Space, mimicks the fictitious app idea from Michael Bolton in the movie "Office Space".
JavaScript
548
star
18

cloud-native-starter

Cloud Native Starter for Java/Jakarta EE based Microservices on Kubernetes and Istio
Shell
517
star
19

federated-learning-lib

A library for federated learning (a distributed machine learning process) in an enterprise environment.
Python
480
star
20

nicedoc.io

pretty README as service.
JavaScript
473
star
21

clai

Command Line Artificial Intelligence or CLAI is an open-sourced project from IBM Research aimed to bring the power of AI to the command line interface.
Python
466
star
22

import-tracker

Python utility for tracking third party dependencies within a library
Python
458
star
23

mac-ibm-enrollment-app

The Mac@IBM enrollment app makes setting up macOS with Jamf Pro more intuitive for users and easier for IT. The application offers IT admins the ability to gather additional information about their users during setup, allows users to customize their enrollment by selecting apps or bundles of apps to install during setup, and provides users with next steps when enrollment is complete.
Swift
454
star
24

mobx-react-router

Keep your MobX state in sync with react-router
JavaScript
437
star
25

openapi-validator

Configurable and extensible validator/linter for OpenAPI documents
JavaScript
429
star
26

EvolveGCN

Code for EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs
Python
384
star
27

fhe-toolkit-macos

IBM Homomorphic Encryption Toolkit For MacOS
C++
356
star
28

AutoMLPipeline.jl

A package that makes it trivial to create and evaluate machine learning pipeline architectures.
HTML
345
star
29

graphql-query-generator

Randomly generates GraphQL queries from a GraphQL schema
TypeScript
334
star
30

portieris

A Kubernetes Admission Controller for verifying image trust.
Go
329
star
31

BluePic

WARNING: This repository is no longer maintained ⚠️ This repository will not be updated. The repository will be kept available in read-only mode.
Swift
325
star
32

FedMA

Code for Federated Learning with Matched Averaging, ICLR 2020.
Python
320
star
33

lale

Library for Semi-Automated Data Science
Python
320
star
34

powerai-counting-cars

Run a Jupyter Notebook to detect, track, and count cars in a video using Maximo Visual Insights (formerly PowerAI Vision) and OpenCV
Jupyter Notebook
317
star
35

evote

A voting application that leverages Hyperledger Fabric and the IBM Blockchain Platform to record and tally ballots.
JavaScript
316
star
36

aihwkit

IBM Analog Hardware Acceleration Kit
Jupyter Notebook
314
star
37

zshot

Zero and Few shot named entity & relationships recognition
Python
308
star
38

IBM-Z-zOS

The helpful and handy location for finding and sharing z/OS files, which are not included in the product.
REXX
296
star
39

charts

The IBM/charts repository provides helm charts for IBM and Third Party middleware.
Smarty
295
star
40

TabFormer

Code & Data for "Tabular Transformers for Modeling Multivariate Time Series" (ICASSP, 2021)
Python
295
star
41

blockchain-application-using-fabric-java-sdk

Create and Deploy a Blockchain Network using Hyperledger Fabric SDK Java
Java
292
star
42

mac-ibm-notifications

macOS agent used to display custom notifications and alerts to the end user.
Swift
289
star
43

MAX-Object-Detector

Localize and identify multiple objects in a single image.
Python
286
star
44

design-kit

The IBM Design kit is a collection of tools aimed to help you design and prototype experiences faster, with confidence and thoughtfulness. This kit is based on the IBM Design System. Also, you may use this documentation to create add-on libraries to the IBM Design System or submit bugs to the current system.
272
star
45

AccDNN

A compiler from AI model to RTL (Verilog) accelerator in FPGA hardware with auto design space exploration.
Verilog
270
star
46

deploy-ibm-cloud-private

Instructions and Code required to install IBM Cloud Private
HCL
263
star
47

vue-a11y-calendar

Accessible, internationalized Vue calendar
JavaScript
253
star
48

audit-ci

Audit NPM, Yarn, and PNPM dependencies in continuous integration environments, preventing integration if vulnerabilities are found at or above a configurable threshold while ignoring allowlisted advisories
TypeScript
253
star
49

watson-banking-chatbot

A chatbot for banking that uses the Watson Assistant, Discovery, Natural Language Understanding and Tone Analyzer services.
JavaScript
250
star
50

UQ360

Uncertainty Quantification 360 (UQ360) is an extensible open-source toolkit that can help you estimate, communicate and use uncertainty in machine learning model predictions.
Python
249
star
51

Kubernetes-container-service-GitLab-sample

This code shows how a common multi-component GitLab can be deployed on Kubernetes cluster. Each component (NGINX, Ruby on Rails, Redis, PostgreSQL, and more) runs in a separate container or group of containers.
Shell
243
star
52

tensorflow-hangul-recognition

Handwritten Korean Character Recognition with TensorFlow and Android
Python
232
star
53

transition-amr-parser

SoTA Abstract Meaning Representation (AMR) parsing with word-node alignments in Pytorch. Includes checkpoints and other tools such as statistical significance Smatch.
Python
229
star
54

BlockchainNetwork-CompositeJourney

Part 1 in a series of patterns showing the building blocks of a Blockchain application
Shell
227
star
55

pytorchpipe

PyTorchPipe (PTP) is a component-oriented framework for rapid prototyping and training of computational pipelines combining vision and language
Python
223
star
56

Graph2Seq

Graph2Seq is a simple code for building a graph-encoder and sequence-decoder for NLP and other AI/ML/DL tasks.
Python
219
star
57

LNN

A `Neural = Symbolic` framework for sound and complete weighted real-value logic
Python
214
star
58

Scalable-WordPress-deployment-on-Kubernetes

This code showcases the full power of Kubernetes clusters and shows how can we deploy the world's most popular website framework on top of world's most popular container orchestration platform.
Shell
214
star
59

janusgraph-utils

Develop a graph database app using JanusGraph
Java
204
star
60

ModuleFormer

ModuleFormer is a MoE-based architecture that includes two different types of experts: stick-breaking attention heads and feedforward experts. We released a collection of ModuleFormer-based Language Models (MoLM) ranging in scale from 4 billion to 8 billion parameters.
Python
203
star
61

ibm-generative-ai

IBM-Generative-AI is a Python library built on IBM's large language model REST interface to seamlessly integrate and extend this service in Python programs.
Python
202
star
62

tensorflow-large-model-support

Large Model Support in Tensorflow
199
star
63

Scalable-Cassandra-deployment-on-Kubernetes

In this code we provide a full roadmap the deployment of a multi-node scalable Cassandra cluster on Kubernetes. Cassandra understands that it is running within a cluster manager, and uses this cluster management infrastructure to help implement the application. Kubernetes concepts like Replication Controller, StatefulSets etc. are leveraged to deploy either non-persistent or persistent Cassandra clusters on Kubernetes cluster.
Shell
195
star
64

adaptive-federated-learning

Code for paper "Adaptive Federated Learning in Resource Constrained Edge Computing Systems"
Python
193
star
65

action-recognition-pytorch

This is the pytorch implementation of some representative action recognition approaches including I3D, S3D, TSN and TAM.
Python
193
star
66

gantt-chart

IBM Gantt Chart Component, integrable in Vanilla, jQuery, or React Framework.
JavaScript
193
star
67

api-samples

Samples code that uses QRadar API's
Python
192
star
68

cdfsl-benchmark

(ECCV 2020) Cross-Domain Few-Shot Learning Benchmarking System
Python
190
star
69

kube101

Kubernetes 101 workshop (https://ibm.github.io/kube101/)
Shell
184
star
70

CrossViT

Official implementation of CrossViT. https://arxiv.org/abs/2103.14899
Python
180
star
71

browser-functions

A lightweight serverless platform that uses Web Browsers as execution engines
JavaScript
180
star
72

pwa-lit-template

A template for building Progressive Web Applications using Lit and Vaadin Router.
TypeScript
176
star
73

rl-testbed-for-energyplus

Reinforcement Learning Testbed for Power Consumption Optimization using EnergyPlus
Python
170
star
74

AMLSim

The AMLSim project is intended to provide a multi-agent based simulator that generates synthetic banking transaction data together with a set of known money laundering patterns - mainly for the purpose of testing machine learning models and graph algorithms. We welcome you to enhance this effort since the data set related to money laundering is critical to advance detection capabilities of money laundering activities.
Python
170
star
75

socket-io

A Socket.IO client for C#
C#
169
star
76

tfjs-web-app

A TensorFlow.js Progressive Web App for Offline Visual Recognition
JavaScript
164
star
77

molformer

Repository for MolFormer
Jupyter Notebook
163
star
78

spark-tpc-ds-performance-test

Use the TPC-DS benchmark to test Spark SQL performance
TSQL
160
star
79

watson-online-store

Learn how to use Watson Assistant and Watson Discovery. This application demonstrates a simple abstraction of a chatbot interacting with a Cloudant NoSQL database, using a Slack UI.
HTML
156
star
80

istio101

Istio 101 workshop (https://ibm.github.io/istio101/)
Shell
154
star
81

Medical-Blockchain

A healthcare data management platform built on blockchain that stores medical data off-chain
Vue
150
star
82

watson-assistant-slots-intro

A Chatbot for ordering a pizza that demonstrates how using the IBM Watson Assistant Slots feature, one can fill out an order, form, or profile.
JavaScript
143
star
83

tsfm

Foundation Models for Time Series
Jupyter Notebook
143
star
84

simulai

A toolkit with data-driven pipelines for physics-informed machine learning.
Python
142
star
85

etcd-java

Alternative etcd3 java client
Java
141
star
86

deploy-react-kubernetes

Built for developers who are interested in learning how to deploy a React application on Kubernetes, this pattern uses the React and Redux framework and calls the OMDb API to look up movie information based on user input. This pattern can be built and run on both Docker and Kubernetes.
JavaScript
139
star
87

innovate-digital-bank

This repository contains instructions to build a digital bank composed of a set of microservices that communicate with each other. Using Nodejs, Express, MongoDB and deployed to a Kubernetes cluster on IBM Cloud.
JavaScript
137
star
88

ipfs-social-proof

IPFS Social Proof: A decentralized identity and social proof system
JavaScript
135
star
89

KubeflowDojo

Repository to hold code, instructions, demos and pointers to presentation assets for Kubeflow Dojo
Jupyter Notebook
132
star
90

probabilistic-federated-neural-matching

Bayesian Nonparametric Federated Learning of Neural Networks
Python
132
star
91

fhe-toolkit-ios

IBM Fully Homomorphic Encryption Toolkit For iOS
C++
131
star
92

pytorch-large-model-support

Large Model Support in PyTorch
130
star
93

taxinomitis

Source code for Machine Learning for Kids site
JavaScript
127
star
94

Decentralized-Energy-Composer

WARNING: This repository is no longer maintained ⚠️ We are no longer showing the Hyperledger Composer Service.
TypeScript
127
star
95

quantum-careers

Learn about career opportunities with IBM Quantum.
126
star
96

cloud-pak

IBM Cloud Paks are enterprise-grade containerized software by combining container images with enterprise capabilities for deployment in production use cases with integrations for management and lifecycle operations. Features such as pre-configured deployments based on product expertise, rolling upgrades, and management of production workloads.
Shell
126
star
97

build-knowledge-base-with-domain-specific-documents

Create a knowledge base using domain specific documents and the mammoth python library
Jupyter Notebook
125
star
98

japan-technology

IBM Related Japanese technical documents - Code Patterns, Learning Path, Tutorials, etc.
Jupyter Notebook
125
star
99

DiffuseKronA

DiffuseKronA: A Parameter Efficient Fine-tuning Method for Personalized Diffusion Models
125
star
100

compliance-trestle

An opinionated tooling platform for managing compliance as code, using continuous integration and NIST's OSCAL standard.
Python
124
star