w1d2s

w1d2s's Stars

• codecrafters-io/build-your-own-x

  Master programming by recreating your favorite technologies from scratch.

  Language:Markdown320k5.5k70829.7k

• labuladong/fucking-algorithm

  刷算法全靠套路，认准 labuladong 就够了！English version supported! Crack LeetCode, not only how, but also why.

  Language:Markdown126k2.3k86223.3k

• facebookresearch/faiss

  A library for efficient similarity search and clustering of dense vectors.

  Language:C++32.2k4792.5k3.7k

• ttroy50/cmake-examples

  Useful CMake Examples

  Language:CMake12.5k186432.5k

• adam-maj/tiny-gpu

  A minimal GPU design in Verilog to learn how GPUs work from the ground up

  Language:SystemVerilog7.3k6924551

• AI4Finance-Foundation/ElegantRL

  Massively Parallel Deep Reinforcement Learning. 🔥

  Language:Python3.8k52263854

• JDAI-CV/fast-reid

  SOTA Re-identification Methods and Toolbox

  Language:Python3.5k60637842

• jrfonseca/gprof2dot

  Converts profiling output to a dot graph.

  Language:Python3.2k7861387

• median-research-group/LibMTL

  A PyTorch Library for Multi-Task Learning

  Language:Python2.1k1883200

• facebookresearch/fvcore

  Collection of common code that's shared among different research projects in FAIR computer vision team.

  Language:Python2.1k4082228

• facebookresearch/higher

  higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather than individual training steps.

  Language:Python1.6k28108124

• laekov/fastmoe

  A fast MoE impl for PyTorch

  Language:Python1.6k13121191

• sustcsonglin/flash-linear-attention

  Efficient implementations of state-of-the-art linear attention models in Pytorch and Triton

  Language:Python1.5k286771

• ZhiningLiu1998/awesome-imbalanced-learning

  😎 Everything about class-imbalanced/long-tail learning: papers, codes, frameworks, and libraries | 有关类别不平衡/长尾学习的一切：论文、代码、框架与库

  1.4k446226

• yfzhang114/Generalization-Causality

  关于domain generalization，domain adaptation，causality，robutness，prompt，optimization，generative model各式各样研究的阅读笔记

  1.2k481101

• davidmrau/mixture-of-experts

  PyTorch Re-Implementation of "The Sparsely-Gated Mixture-of-Experts Layer" by Noam Shazeer et al. https://arxiv.org/abs/1701.06538

  Language:Python1k626105

• skywind3000/emake

  你见过的最简单的 GCC/CLANG 项目构建工具，定义式构建，比命令式更简单

  Language:Python8324616115

• wehos/awesome-graph-transformer

  Papers about graph transformers.

  81922571

• IIIS-Li-Group/OpenFE

  OpenFE: automated feature generation with expert-level performance

  Language:Python813953101

• KimMeen/Awesome-GNN4TS

  [TPAMI 2024] Awesome Resources of GNNs for Time Series Analysis (GNN4TS)

  68116256

• DaoSword/Time-Series-Forecasting-and-Deep-Learning

  Resources about time series forecasting and deep learning.

  598283056

• XiaoSong9905/CUDA-Optimization-Guide

  Xiao's CUDA Optimization Guide [Active Adding New Contents]

  2471017

• hdvvip/CS224W_Winter2021

  CS224W Stanford Winter 2021 Homework solutions

  Language:Jupyter Notebook1963658

• ppwwyyxx/RAM-multiprocess-dataloader

  Demystify RAM Usage in Multi-Process Data Loaders

  Language:Python1868910

• proger/accelerated-scan

  Accelerated First Order Parallel Associative Scan

  Language:Python166888

• tencent-ailab/3m-asr

  3M: Multi-loss, Multi-path and Multi-level Neural Networks for speech recognition

  Language:Python1186516

• SJTU-DMTai/Quant-Reading-List

  Papers for AI + quantitative investment

  88608

• GetUpEarlier/minit

  Language:Python26101

• 00ffcc/chunkRWKV6

  continous batching and parallel acceleration for RWKV6

  Language:Python23110

• SJTU-DMTai/SUNNY-GNN

  The official implementation of AAAI'24 paper: Self-Interpretable Graph Learning with Sufficient and Necessary Explanations.

  Language:Python11112