ChaosPKU

ChaosPKU's Stars

• microsoft/DeepSpeed

  DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

  Language:Python34.9k3422.7k4.1k

• google-research/google-research

  Google Research

  Language:Jupyter Notebook33.9k7501.2k7.8k

• open-mmlab/mmdetection

  OpenMMLab Detection Toolbox and Benchmark

  Language:Python29.2k3718.3k9.4k

• pyg-team/pytorch_geometric

  Graph Neural Network Library for PyTorch

  Language:Python21.1k2523.5k3.6k

• microsoft/unilm

  Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities

  Language:Python19.6k3011.4k2.5k

• zziz/pwc

  This repository is no longer maintained.

  15.4k1.2k242.5k

• dair-ai/ml-visuals

  🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.

  13.2k114491.4k

• OpenMOSS/MOSS

  An open-source tool-augmented conversational language model from Fudan University

  Language:Python11.9k1233531.1k

• Rockyzsu/stock

  30天掌握量化交易 (持续更新)

  Language:Python5.1k262301.3k

• session-replay-tools/tcpcopy

  An online request replication and TCP stream replay tool, ideal for real testing, performance testing, stability testing, stress testing, load testing, smoke testing, and more.

  Language:C4.5k3773481k

• lixin4ever/Conference-Acceptance-Rate

  Acceptance rates for the major AI conferences

  Language:Jupyter Notebook4.2k12928295

• km1994/nlp_paper_study

  该仓库主要记录 NLP 算法工程师相关的顶会论文研读笔记

  Language:C++3.9k728662

• NTMC-Community/MatchZoo

  Facilitating the design, comparison and sharing of deep text matching models.

  Language:Python3.8k176463897

• naturomics/CapsNet-Tensorflow

  A Tensorflow implementation of CapsNet(Capsules Net) in paper Dynamic Routing Between Capsules

  Language:Python3.8k249661.2k

• bytedance/byteps

  A high performance and generic framework for distributed DNN training

  Language:Python3.6k85267487

• tensorflow/ranking

  Learning to Rank in TensorFlow

  Language:Python2.7k97319474

• google/tangent

  Source-to-Source Debuggable Derivatives in Pure Python

  Language:Python2.3k6656434

• openai/sparse_attention

  Examples of using sparse attention, as in "Generating Long Sequences with Sparse Transformers"

  Language:Python1.5k4510192

• mit-han-lab/proxylessnas

  [ICLR 2019] ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware

  Language:C++1.4k700284

• mouna99/dien

  Language:Python1.1k4156401

• omoindrot/tensorflow-triplet-loss

  Implementation of triplet loss in TensorFlow

  Language:Python1.1k3861283

• bytedance/ibot

  iBOT :robot:: Image BERT Pre-Training with Online Tokenizer (ICLR 2022)

  Language:Jupyter Notebook66963577

• ashishpatel26/Amazing-Feature-Engineering

  Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning algorithms. Feature engineering can be considered as applied machine learning itself.

  Language:Jupyter Notebook653151254

• amit-sharma/causal-inference-tutorial

  Repository with code and slides for a tutorial on causal inference.

  Language:Jupyter Notebook561219105

• RexYing/diffpool

  Language:Python4721140135

• alexa/bort

  Repository for the paper "Optimal Subarchitecture Extraction for BERT"

  Language:Python470151139

• Jianbo-Lab/L2X

  Language:Python12312636

• seanie12/CLAPS

  [ICLR 2021] Contrastive Learning with Adversarial Perturbations for Conditional Text Generation

  Language:Python84485

• chentingpc/kdcode-lm

  Code for Learning K-way D-dimensional Discrete Codes For Compact Embedding Representations

  Language:Python28316

• gitzlh/capsule-pytorch

  a pytorch implement of Hinton's capsule network.

  Language:Python2220