sf-wind

EfficientSAM

EfficientSAM: Leveraged Masked Image Pretraining for Efficient Segment Anything

nccl

Optimized primitives for collective multi-GPU communication

fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

AutoGPT

AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.

wolverine

DCTNet

lion-pytorch

🦁 Lion, new optimizer discovered by Google Brain using genetic algorithms that is purportedly better than Adam(w), in Pytorch

diffusiondb

A large-scale text-to-image prompt gallery dataset based on Stable Diffusion

ColossalAI

Making large AI models cheaper, faster and more accessible

MILAN

PyTorch implementation of the paper "MILAN: Masked Image Pretraining on Language Assisted Representation" https://arxiv.org/pdf/2208.06049.pdf.

youtube-dl

Command-line program to download videos from YouTube.com and other video sites

mlflow

Open source platform for the machine learning lifecycle

iree

A retargetable MLIR-based machine learning compiler and runtime toolkit.

Filter-GaP

The official PyTorch implementation of CHEX: CHannel EXploration for CNN Model Compression (CVPR 2022). Paper is available at https://openaccess.thecvf.com/content/CVPR2022/papers/Hou_CHEX_CHannel_EXploration_for_CNN_Model_Compression_CVPR_2022_paper.pdf

oneflow

OneFlow is a deep learning framework designed to be user-friendly, scalable and efficient.

GaP

ICLR'22, Effective Model Sparsification by Scheduled Grow-and-Prune Methods

rlmeta

RLMeta is a light-weight flexible framework for Distributed Reinforcement Learning Research.

FlexFlow

FlexFlow Serve: Low-Latency, High-Performance LLM Serving

gym

A toolkit for developing and comparing reinforcement learning algorithms.

academy

Ray tutorials from Anyscale

pg19

Nystromformer

sparse-computation-using-TCM-and-gather-scatter-engine

pytorch-dnc

Differentiable Neural Computers, Sparse Access Memory and Sparse Differentiable Neural Computers, for Pytorch

dnc

A TensorFlow implementation of the Differentiable Neural Computer.

sparsezoo

Neural network model repository for highly sparse and sparse-quantized models with matching sparsification recipes

sparsify

ML model optimization product to accelerate inference.

Multi-News

Large-scale multi-document summarization dataset and code

long-summarization-1

Pytorch implementation of NAACL 2018 paper "A Discourse-Aware Attention Model for Abstractive Summarization of Long Documents"

long-summarization

Resources for the NAACL 2018 paper "A Discourse-Aware Attention Model for Abstractive Summarization of Long Documents"