AmanPriyanshu/Federated-Learning AmanPriyanshu/Federated-Learning

  • Stars
    star
    5
  • Rank 2,861,937 (Top 57 %)
  • Language
    Jupyter Notebook
  • License
    MIT License
  • Created about 4 years ago
  • Updated over 3 years ago
Twitter logo Share LinkedIn logo Share Facebook logo Share
AmanPriyanshu/Federated-Learning
github

AmanPriyanshu

Reviews

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

Repository Details

Privacy preserving learning for Federated Learning.

More Repositories

1

Deep-Belief-Networks-in-PyTorch

The aim of this repository is to create RBMs, EBMs and DBNs in generalized manner, so as to allow modification and variation in model types.
Python
57
star
2

Federated-Recommendation-Neural-Collaborative-Filtering

Federated Neural Collaborative Filtering (FedNCF). Neural Collaborative Filtering utilizes the flexibility, complexity, and non-linearity of Neural Network to build a recommender system. Aim to federate this recommendation system.
Python
31
star
3

DP-HyperparamTuning

DP-HyperparamTuning offers an array of tools for fast and easy hypertuning of various hyperparameters for the DP-SGD algorithm.
Jupyter Notebook
24
star
4

FedPAQ-MNIST-implemenation

An implementation of FedPAQ using different experimental parameters. We will be looking at different variations of how, r(number of clients to be selected), t (local epochs) and s (Quantizer levels))
Python
22
star
5

API-LLM-Hub

A static-page vanilla-js interface for various LLM APIs (OpenAI, Claude, Gemini, Together).
HTML
5
star
6

refactored-SOPs

List of Statement of Purpose for PhD Applications for ML/AI.
5
star
7

GeneticPromptLab

GeneticPromptLab uses genetic algorithms for automated prompt engineering (for LLMs), enhancing quality and diversity through iterative selection, crossover, and mutation, while efficiently exploring minimal yet diverse samples from the training set.
Python
5
star
8

Grey-Wolf-Optimizer

Grey wolf optimizer (GWO) is a population-based meta-heuristics algorithm that simulates the leadership hierarchy and hunting mechanism of grey wolves in nature, and it’s proposed by Seyedali Mirjalili et al. in 2014.
Python
4
star
9

Greedy-Layer-Wise-Pretraining

Training DNNs are normally memory and computationally expensive. Therefore, we explore greedy layer-wise pretraining.
Python
4
star
10

FedEEG

A Federated Approach towards hand movement learning using EEG-waves
Python
3
star
11

superpixel-clustering

Creating Visuals for SuperPixel-Clustering.
Python
3
star
12

GeneratorPromptKit

GeneratorPromptKit: A Python Library and Framework for Automated Generator Prompting and Dataset Generation
Python
3
star
13

Transformer-Text-AutoEncoder

Transformer Text AutoEncoder: An autoencoder is a type of artificial neural network used to learn efficient encodings of unlabeled data, the same is employed for textual data employing pre-trained models from the hugging-face library.
Python
3
star
14

ProTaska-GPT

Unleash the Potential of Datasets with Intelligent Tasks, Tutorials, and Algorithm Recommendations.
Jupyter Notebook
2
star
15

HexaLite

An unsupervised method for text searching based on contextual similarity within a corpus.
Python
2
star
16

PigeonAssistez

A productivity tool tailored for your busy schedules!
Python
2
star
17

Denoising-AutoEncoder

The Denoising Autoencoder is an extension of the autoencoder. Just as a standard autoencoder, it’s composed of an encoder, that compresses the data into the latent code, extracting the most relevant features, and a decoder, which decompress it and reconstructs the original input. There is only a slight modification: the Denoising Autoencoder takes a noisy image as input and the target for the output layer is the original input without noise.
Python
2
star
18

StreamlinedFaceDetection

The project is meant to be used for simple streamlined implementations during competitions and hackathons. It is meant for Face Detection and will use the OpenCV-DNN framework which is one of the few fast, memory-efficient and easy to implement Face Detection models.
Python
2
star
19

Revideo-Colab-Standalones

Standalone Colab notebooks for creating videos with Revideo
Jupyter Notebook
2
star
20

Operational-Neural-Networks

Operational Neural Networks (ONNs), which can be heterogeneous and encapsulate neurons with any set of operators to boost diversity and to learn highly complex and multi-modal functions or spaces with minimal network complexity and training data.
Python
2
star
21

MedTranslate-360

MedTranslate 360 redefines medical documentation by providing an AI-powered assistant designed specifically for healthcare professionals.
Python
1
star
22

FRACTURED-SORRY-Bench

FRACTURED-SORRY-Bench: This repository contains the code and data for the FRACTURED-SORRY-Bench framework, as described in our paper.
Python
1
star
23

Visual-Clusters

A repository for visualizing clusters created by Siamese Neural Networks.
Python
1
star
24

ISPP-Project-Demo

Course Project Demo for ISPP
Python
1
star
25

EV-BaseGame

Evolutionary algorithms to play basic games
Python
1
star
26

SafeInNet

SafeInNet
Python
1
star
27

Resume

Just an online repository where I can keep updating my resume
1
star
28

DWDM-Project

Machine learning methods for data mining
Jupyter Notebook
1
star
29

DeCrise

DeCrise: Social Media platforms hold the potential to avert and support public utility services for crisis management. We use continual and federated learning to amplify our NLP model.
Python
1
star
30

Voix

Python
1
star
31

discord-keras

Creating a Discord Bot which can allow use of Keras remotely. A python enabler will also be created.
Python
1
star
32

AT-Lab

Sem 6: Android Lab - MIT Manipal B.Tech Information Technology (2019-23)
HTML
1
star
33

Bavardez

Building a chatbot from scratch.
Python
1
star
34

FormulaGenerator-with-geppy

Geppy explores formula generation for a given dataset. Although not optimal in training paradigm it offers a faster execution time.
Python
1
star
35

Unsupervised-GNN-Clustering

Clustering using unsupervised training of GNN
Python
1
star
36

PredatorPreyRL

Multi-Agent Communication in RL systems
Python
1
star
37

DCD-HAMS

Decentralized Cross Device Learning for Hierarchical Aggregation of Medical Symptoms
1
star
38

EnergyBasedModels

An energy-based model is a probabilistic model governed by an energy function that describes the probability of a certain state.
Python
1
star
39

Manipal-Popina

A full-stack application for the MIT-DBS-LAB-PROJECT-2021(OCT). Developed an entire application from the front end to the back end and the code connecting it to an SQL database system.
Python
1
star
40

GitOpenFL

My implementation of Federated Learning for PyTorch, including various examples from different papers I read. The aim is to improve my understanding of Federated Learning, at the same time, provide an open and simple to learn implementation of the same for future reference. Everything in this repository will be implemented in PyTorch, which is something out of my comfort zone, so hopefully it goes well.
Python
1
star
41

SCFactual-Explanations-CV

Creating a pipeline for generating semi-factual and counter-factual explanations for computer vision tasks.
Python
1
star
42

Key-Frame-Extraction

Key frame extraction is a powerful tool that implements video content by selecting a set of summary key frames to represent video sequences. Most of the existing key frames extraction methods are not suitable for video copyright protection, as they do not meet specific requirements.
Python
1
star
43

Recherche-Auto

Recherche-Auto revolutionizes web-based research by organizing and encoding data into personalized knowledge graphs.
Python
1
star