YuejiangLIU

YuejiangLIU's Stars

• Developer-Y/cs-video-courses

  List of Computer Science courses with video lectures.

  67.5k1.9k1439.1k

• karpathy/minGPT

  A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training

  Language:Python20.3k257722.5k

• rasbt/deeplearning-models

  A collection of various deep learning architectures, models, and tips

  Language:Jupyter Notebook16.8k594304k

• dair-ai/ml-visuals

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

  13.8k116491.4k

• ShangtongZhang/reinforcement-learning-an-introduction

  Python Implementation of Reinforcement Learning: An Introduction

  Language:Python13.7k555994.8k

• janishar/mit-deep-learning-book-pdf

  MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville

  Language:Java12.9k409182.7k

• academicpages/academicpages.github.io

  Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

  Language:JavaScript12.6k9237344.2k

• google-research/vision_transformer

  Language:Jupyter Notebook10.6k1052071.3k

• arogozhnikov/einops

  Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)

  Language:Python8.6k69183352

• hhatto/autopep8

  A tool that automatically formats Python code to conform to the PEP 8 style guide.

  Language:Python4.6k71508291

• NVlabs/imaginaire

  NVIDIA's Deep Imagination Team's PyTorch Library

  Language:Python4k108172452

• JustFollowUs/Machine-Learning

  3.1k3412863

• HobbitLong/SupContrast

  PyTorch implementation of "Supervised Contrastive Learning" (and SimCLR incidentally)

  Language:Python3.1k20135536

• Machine-Learning-Tokyo/AI_Curriculum

  Open Deep Learning and Reinforcement Learning lectures from top Universities like Stanford, MIT, UC Berkeley.

  2.5k1615402

• vsitzmann/awesome-implicit-representations

  A curated list of resources on implicit neural representations.

  2.5k1140142

• GoogleCloudPlatform/ml-design-patterns

  Source code accompanying O'Reilly book: Machine Learning Design Patterns

  Language:Jupyter Notebook1.9k5028533

• apple/ml-hypersim

  Hypersim: A Photorealistic Synthetic Dataset for Holistic Indoor Scene Understanding

  Language:Python1.7k4277133

• alexandre01/deepsvg

  [NeurIPS 2020] Official code for the paper "DeepSVG: A Hierarchical Generative Network for Vector Graphics Animation". Includes a PyTorch library for deep learning with SVG data.

  Language:Jupyter Notebook982243899

• amber0309/Domain-generalization

  All about domain generalization

  833419124

• kristery/Awesome-Imitation-Learning

  A curated list of awesome imitation learning resources and publications

  53219359

• google-research/robustness_metrics

  Language:Jupyter Notebook466111033

• evanzd/ICLR2021-OpenReviewData

  Crawl & visualize ICLR papers and reviews.

  Language:Jupyter Notebook44416365

• liuyubobobo/ai-learning-roadmap

  Ai Learning Roadmap based on lots of open course sources and book materials. 我总结的 AI 学习路径。

  43519481

• lucidrains/slot-attention

  Implementation of Slot Attention from GoogleAI

  Language:Python39711732

• HarshayuGirase/Human-Path-Prediction

  State-of-the-art methods for human trajectory forecasting. Contains code for papers published at ECCV 2020 and ICCV 2021.

  Language:Jupyter Notebook354116181

• MarcDiethelm/contributing

  How to make a clean pull request on Github

  26966171

• vita-epfl/trajnetplusplusbaselines

  [ITS'21] Human Trajectory Forecasting in Crowds: A Deep Learning Perspective

  Language:Python251142682

• qinhanmin2014/machine-learning-Andrew-Ng

  Machine learning online course from Andrew Ng.

  Language:HTML755159

• WeiFoo/NoML

  A notebook for machine learning interview

  Language:Python565135

• facebookresearch/InvarianceUnitTests

  Toy datasets to evaluate algorithms for domain generalization and invariance learning.

  Language:Python42618