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44 search results found

Colossalai ⭐ 37,814

Making large AI models cheaper, faster and more accessible

Machine Learning、Deep Learning、PostgreSQL、Distributed System、Node.Js、Golang

Catalyst ⭐ 3,151

Accelerated deep learning R&D

Training and serving large-scale neural networks with auto parallelization.

Elephas ⭐ 1,548

Distributed Deep learning with Keras & Spark

Awesome Federated Machine Learning ⭐ 1,425

Everything about federated learning, including research papers, books, codes, tutorials, videos and beyond

Vizier ⭐ 1,142

Python-based research interface for blackbox and hyperparameter optimization, based on the internal Google Vizier Service.

Federated Learning Pytorch ⭐ 902

Implementation of Communication-Efficient Learning of Deep Networks from Decentralized Data

Bagua Speeds up PyTorch

An open framework for Federated Learning.

Awesome Federated Computing ⭐ 448

📚 👓 A collection of research papers, codes, tutorials and blogs on Federated Computing/Learning.

An experimental platform to quickly realize and compare with popular centralized federated learning algorithms. A realization of federated learning algorithm on fairness (FedFV, Federated Learning with Fair Averaging, https://fanxlxmu.github.io/publication/ijcai2021/) was accepted by IJCAI-21 (https://www.ijcai.org/proceedings/2021/223).

High performance distributed framework for training deep learning recommendation models based on PyTorch.

Awesome Distributed Deep Learning ⭐ 309

A curated list of awesome Distributed Deep Learning resources.

Sparktorch ⭐ 297

Train and run Pytorch models on Apache Spark.

Bluefog ⭐ 282

Distributed and decentralized training framework for PyTorch over graph

Swarm Learning ⭐ 275

A simplified library for decentralized, privacy preserving machine learning

Distributed DAG (Directed acyclic graph) framework for machine learning with UI

Ml Systems ⭐ 175

papers on scalable and efficient machine learning systems

A Comprehensive Framework for Building End-to-End Recommendation Systems with State-of-the-Art Models

Autodist ⭐ 92

Simple Distributed Deep Learning on TensorFlow

Learning_ray ⭐ 84

Code for the upcoming book "Learning Ray" with O'Reilly

An analytical performance modeling tool for deep neural networks.

Easydist ⭐ 55

Automated Parallelization System and Infrastructure for Multiple Ecosystems

Theano Mpi ⭐ 55

MPI Parallel framework for training deep learning models built in Theano

Label images from Unsplash in browser - using MobileNet on Tensorflow.Js

Pythonframeworks ⭐ 49

Another curated list of Python frameworks

Stable Diffusion Webui Stable Horde ⭐ 48

Stable Horde client for AUTOMATIC1111's Stable Diffusion Web UI

Song Playlist Recommendation ⭐ 43

This project was a joint effort by Lucas De Oliveira, Chandrish Ambati, and Anish Mukherjee to create a song and playlist embeddings for recommendations in a distributed fashion using a 1M playlist dataset by Spotify.

Dask Pytorch Ddp ⭐ 28

dask-pytorch-ddp is a Python package that makes it easy to train PyTorch models on dask clusters using distributed data parallel.

A next-generation dynamic and high-performance language for AI and IOT with natural born distributed computing ability.

Vodascheduler ⭐ 23

GPU scheduler for elastic/distributed deep learning workloads in Kubernetes cluster

Shallowspeed ⭐ 21

Small scale distributed training of sequential deep learning models, built on Numpy and MPI.

Kaleidoscope Sdk ⭐ 20

A user toolkit for analyzing and interfacing with Large Language Models (LLMs)

Execution framework for multi-task model parallelism. Enables the training of arbitrarily large models with a single GPU, with linear speedups for multi-gpu multi-task execution.

Kaleidoscope ⭐ 17

A user toolkit for analyzing and interfacing with Large Language Models (LLMs)

Federated Learning And Split Learning With Raspberry Pi ⭐ 17

SRDS 2020: End-to-End Evaluation of Federated Learning and Split Learning for Internet of Things

Ml_notebooks ⭐ 17

Collection of machine learning related notebooks to share.

Library for streaming data and incremental learning algorithms.

Angorapy ⭐ 15

Build Goal-driven Models of the Sensorimotor Cortex with Ease.

An instant distributed computing library based on Ray Train and Ray Data

Terrytangyuan.github.com ⭐ 11

⛰️ RockyML - A High-Performance Scientific Computing Framework for Non-smooth Machine Learning Problems

Icml 2023 Fedlaw ⭐ 6

The is the official implementation of ICML 2023 paper "Revisiting Weighted Aggregation in Federated Learning with Neural Networks".

Skin Cancer Classifier ⭐ 6

Skin cancer classification demo using Federated Learning techniques

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1-44 of 44 search results

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