daddydrac/Deep-Learning-Ultra

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Jupyter Notebook
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Apache License 2.0
Created about 1 year ago
Updated about 1 year ago

daddydrac/Deep-Learning-Ultra

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Open source Deep Learning Containers (DLCs) are a set of Docker images for training and serving models in PyTorch, OpenCV (compiled for GPU), TensorFlow 2 for GPU, PyG and NVIDIA RAPIDS

-deprecated-NVIDIA-GPU-Tensor-Core-Accelerator-PyTorch-OpenCV

Computer vision container that includes Jupyter notebooks with built-in code hinting, Anaconda, CUDA 11.8, TensorRT inference accelerator for Tensor cores, CuPy (GPU drop in replacement for Numpy), PyTorch, PyTorch geometric for Graph Neural Networks, TF2, Tensorboard, and OpenCV for accelerated workloads on NVIDIA Tensor cores and GPUs.

Jupyter Notebook

Machine-Learning-For-Predictive-Lead-Scoring

Predictive Lead Scoring does all the hard work for you by leveraging Machine Learning to provide your sales and marketing team with in-depth customer knowledge and ways to target the hottest and most qualified leads – resulting in saved time and higher revenue streams.

Jupyter Notebook

computer-vision-container

This container is no longer supported, and has been deprecated in favor of: https://github.com/joehoeller/NVIDIA-GPU-Tensor-Core-Accelerator-PyTorch-OpenCV

Jupyter Notebook

Machine-Learning-for-Industrial-IoT-Applications

Machine Learning for Industrial IoT Applications: Predict how long a part will work before performance degrades Perect for 5G cell phone towers, mining, aerospace, large/heavy equipment, farming, autonomous vehicles and even data centers.

Jupyter Notebook

vuejs-flask-docker

Test driven docker solution using VueJS, Flask REST Plus, PostgresSQL, with swagger, prebuilt authentication+JWT's running on NGINX/https using material ui design

Contextual-Multi-Armed-Bandits

Jupyter Notebook

Dark-Chocolate

Transfer COCO data set annotations to Darknet YOLO annotations format. Hence, Dark(net) Chocolate(COCO)!

PySpark-Confluent-Kafka-Apache-Drill-

A code-based tutorial for production level data streaming with PySpark plus Optimus for data cleaning, Confluent Kafka, & Apache Drill using Docker and Cassandra (NoSQL DB) for storage; This allows for for fast feature engineering and data cleaning.

Jupyter Notebook

Anaconda-CUDA-Accelerated-TensorFlowGPU-Development-Environment

A reproducible containerized environment with CUDA X, Anaconda, TensorFlow-GPU, Keras-GPU, Dask, and PyCUDA.

full-stack-flask-react-kubernetes

Deploy a Flask-based microservice (along with Postgres and React) to a Kubernetes cluster

nginx-server-neo4j-graph-db

NGINX server for NEO4J Graph Database and NEO4J REST API

machine-learning-predict-customers-next-purchase

Machine Learning to predict a customer's next purchase - Fulfills many use-cases from recommendation systems to loyalty programs.

Jupyter Notebook

bandit-box

BanditBox: A reproducible and portable GPU and TPU (TensorRT) accelerated machine learning container for advanced applications such as NLP, contextual bandits, policy gradient networks, & Deep Q Learning.

Jupyter Notebook

NVIDIA-Rapids-NeMo-PyTorch-Tensorboard

Ultimate NLP Toolkit for GPUs: RAPIDS-AI, PyTorch, NeMo, Tensorboard, TensorRT, CUDA 10.1

Machine-Learning-to-Predict-Customer-Loyalty-Trajectory

Customer loyalty is the strength of the relationship a customer has with a business as manifested by customer purchasing more and at high frequency. There are various signal or events related to a customer’s engagement with a business. Some examples are transactions, customer service calls and social media comments.

IBM-Watson-Artificial-Intelligence-Developer-Certification-Study-Guide

The certification exam covers all of the aspects of building an application that uses Watson services. This includes a basic understanding of cognitive technologies, as well as a practical knowledge of the core APIs.

customer-lifetime-value-contractual-or-non-contractual-relationship

Machine Learning to determine Customer Lifetime Value in a contractual or non-contractual setting.

Jupyter Notebook

Algorithmic-Data-Cleaning-with-Pandas

Algorithmic accumulator that walks arrays right (reduceRight) while handling conditions without mutations to variables, no loops, and zero non deterministic code design patterns.

Computer-Vision-Facial-Key-Point-Detection

Facial Key Point Detection Using HAAR Cascades on a trained Convolutional Neural Network

Jupyter Notebook

Automated-Flask-API-Installer

Automated install of auth, PostgresSQL, VueJS front end and Flask in Docker or Docker swarm

tf2-gpu

Jupyter Notebook

Django2Pro-Container

Docker, Django2.2, NGINX, PostgreSQL, pgAdmin, Python 3.x on https, with support for Dev, QA, & Production environments to build RESTful APIs on. Code updates instantly for quick development: Container hot reloads automatically as you write code!

react-redux-d3-dashboard

Example of how to use React, Redux, and D3 to make a DataScience dashboard

GPUyter

Jupyter Notebook

tmg_data_science

The Mentor Group Data Science curriculum

physician-burnout-prediction

s3-government

Interface dynamically with s3 buckets on AWS GovCloud - Forked from s3Contents repo to work with government security req's.

nvidia-rapids-e2e-ml-pipeline-on-kubernetes

-Subscription-Customer-or-Regular-Customer

Machine Learning to determine if the customer will be a monthly subscription customer (Like Dollar Shave Club, Spotify, Pandora or a Amazon Prime Member), or will they just remain a regular/free customer?

Jupyter Notebook

CMS-Template-Helper

Custom CMS template helper plug in that dynamically adds css to the final child that is dynamically output from the dB

pytorch-nvidia-gpu

pytorch-geometric-with-albumentations-and-model-serving

Computer vision and graph based computer vision modeling and serving with NVIDIA CUDA/GPUs and TensorRT

Jupyter Notebook

tensorflow-gpu

Deep learning and statistical based GPU enabled container for TF2.0 with Tensorboard

test

the-mentor-group

SASS-CSS3-Animation

SASS Example with CSS3 Animations

torch-nlp

k8s-mlflow-seldon-automated-model-serving

Jupyter Notebook

Rancher-REST-API-Docs

Documentation on Rancher's REST APIs

HomeworkTasksApp

Teaching code for kids

lightweight-ui-slider

A lightweight 2 byte banner rotator that only uses 2mb of browser RAM

rapids-gpu

mlflowv.1.14.1

Evolutionary-Context-Graph-Neural-Network-for-Predicting-Foreign-Adversarial-Events

Proof of concept demo with code built on OSINT data to predict social influence prediction (PSYOPS), or other events for warfighters, elections, disease outbreaks, geo-political events, as well as foreign and domestic terror threats. From the perspective of intelligence analysts, information overload is overwhelming. Presenting succinct representations of events and their precursors in the form of summaries is an unmet need. We demonstrate how unified data for graph based neural networks solves DoD’s ability to look 10-400 steps into the future with lead time to react.