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accelerate

🚀 A simple way to launch, train, and use PyTorch models on almost any device and distributed configuration, automatic mixed precision (including fp8), and easy-to-configure FSDP and DeepSpeed support

apathy

C++ Path Manipulation

apex

A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch

azgo14.github.io

benchmark_results

visual tracker benchmark results

caffe2

Caffe2 is a lightweight, modular, and scalable deep learning framework.

classification_metric_learning

clip-as-service

Embed images and sentences into fixed-length vectors with CLIP

colossalai

Colossal-AI: A Unified Deep Learning System for Big Model Era

composer

library of algorithms to speed up neural network training

convnet.pytorch

ConvNet training using pytorch

cs169-hw

cs169project

cs283

deepfashion2

DeepFashion2 Dataset https://arxiv.org/pdf/1901.07973.pdf

ethereum-etl

Python scripts for ETL (extract, transform and load) jobs for Ethereum blocks, transactions, ERC20 / ERC721 tokens, transfers, receipts, logs, contracts, internal transactions. Data is available in Google BigQuery https://goo.gl/oY5BCQ

fastchat

The release repo for "Vicuna: An Open Chatbot Impressing GPT-4"

fb-caffe-exts

Some handy utility libraries and tools for the Caffe deep learning framework.

flask_celery

Flask with Celery.

gai-project

Train expert conversational role-play LLMs with synthetic data

ldam-drw

[NeurIPS 2019] Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss

llava

[NeurIPS'23 Oral] Visual Instruction Tuning: LLaVA (Large Language-and-Vision Assistant) built towards GPT-4V level capabilities.

minkowskiengine

Minkowski Engine is an auto-diff library for generalized sparse convolutions and high-dimensional sparse tensors

onnx

Open Neural Network Exchange

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

react-beautiful-dnd

Beautiful and accessible drag and drop for lists with React

setup

sglang

SGLang is yet another fast serving framework for large language models and vision language models.

stanford-cme-106-probability-and-statistics

VIP cheatsheets for Stanford's CME 106 Probability and Statistics for Engineers

stanford-cs-229-machine-learning

VIP cheatsheets for Stanford's CS 229 Machine Learning