sf-wind

sf-wind's Stars

• Significant-Gravitas/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.

  Language:Python167k1.6k2.7k44.2k

• ytdl-org/youtube-dl

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

  Language:Python132k2.2k26.6k10k

• hpcaitech/ColossalAI

  Making large AI models cheaper, faster and more accessible

  Language:Python38.7k3831.7k4.3k

• openai/gym

  A toolkit for developing and comparing reinforcement learning algorithms.

  Language:Python34.6k1.1k1.8k8.6k

• facebookresearch/fairseq

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

  Language:Python30.2k4284.2k6.4k

• mlflow/mlflow

  Open source platform for the machine learning lifecycle

  Language:Python18.4k2973.9k4.2k

• Oneflow-Inc/oneflow

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

  Language:C++5.9k144968667

• biobootloader/wolverine

  Language:Python5.2k8825743

• NVIDIA/nccl

  Optimized primitives for collective multi-GPU communication

  Language:C++3.2k1531.3k794

• iree-org/iree

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

  Language:C++2.6k853.9k581

• google-deepmind/dnc

  A TensorFlow implementation of the Differentiable Neural Computer.

  Language:Python2.5k16537443

• yformer/EfficientSAM

  EfficientSAM: Leveraged Masked Image Pretraining for Efficient Segment Anything

  Language:Jupyter Notebook2.1k2568150

• lucidrains/lion-pytorch

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

  Language:Python2k152349

• flexflow/FlexFlow

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

  Language:C++1.7k33655223

• poloclub/diffusiondb

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

  Language:Python1.2k181566

• anyscale/academy

  Ray tutorials from Anyscale

  Language:Jupyter Notebook5801727194

• kaix90/DCTNet

  Language:Python459125598

• neuralmagic/sparsezoo

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

  Language:Python366252225

• mlpen/Nystromformer

  Language:Python36191841

• armancohan/long-summarization

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

  Language:Python354151458

• ixaxaar/pytorch-dnc

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

  Language:Python334213756

• neuralmagic/sparsify

  ML model optimization product to accelerate inference.

  Language:Python318262229

• facebookresearch/rlmeta

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

  Language:Python284141328

• Alex-Fabbri/Multi-News

  Large-scale multi-document summarization dataset and code

  Language:Python26933653

• google-deepmind/pg19

  2269118

• zejiangh/MILAN

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

  Language:Python79206

• zejiangh/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

  Language:Jupyter Notebook373108

• boone891214/GaP

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

  Language:Python8212

• mohitm15/long-summarization-1

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

  Language:Perl3101

• alibaba-archive/sparse-computation-using-TCM-and-gather-scatter-engine

  230