yg-li

yg-li's Stars

• ohmyzsh/ohmyzsh

  🙃 A delightful community-driven (with 2,300+ contributors) framework for managing your zsh configuration. Includes 300+ optional plugins (rails, git, macOS, hub, docker, homebrew, node, php, python, etc), 140+ themes to spice up your morning, and an auto-update tool that makes it easy to keep up with the latest updates from the community.

  Language:Shell172k25.8k

• trimstray/the-book-of-secret-knowledge

  A collection of inspiring lists, manuals, cheatsheets, blogs, hacks, one-liners, cli/web tools and more.

  143k9.4k

• posquit0/Awesome-CV

  :page_facing_up: Awesome CV is LaTeX template for your outstanding job application

  Language:TeX22.7k4.7k

• google-ai-edge/mediapipe

  Cross-platform, customizable ML solutions for live and streaming media.

  Language:C++26.7k5.1k

• google-deepmind/open_spiel

  OpenSpiel is a collection of environments and algorithms for research in general reinforcement learning and search/planning in games.

  Language:C++4.2k917

• google-deepmind/bsuite

  bsuite is a collection of carefully-designed experiments that investigate core capabilities of a reinforcement learning (RL) agent

  Language:Python1.5k181

• naganandy/graph-based-deep-learning-literature

  links to conference publications in graph-based deep learning

  Language:Jupyter Notebook4.7k773

• jwasham/coding-interview-university

  A complete computer science study plan to become a software engineer.

  304k76.2k

• salesforce/MultiHopKG

  Multi-hop knowledge graph reasoning learned via policy gradient with reward shaping and action dropout

  Language:Jupyter Notebook30070

• woshiyyya/DFGN-pytorch

  Code for ACL19 paper: Dynamically Fused Graph Network for Multihop Reasoning

  Language:Python19042

• THUDM/CogQA

  Source code and dataset for ACL 2019 paper "Cognitive Graph for Multi-Hop Reading Comprehension at Scale"

  Language:Python45582

• pytorch/xla

  Enabling PyTorch on XLA Devices (e.g. Google TPU)

  Language:C++2.4k450

• thunlp/GNNPapers

  Must-read papers on graph neural networks (GNN)

  15.8k3k

• hotpotqa/hotpot

  Language:Python43675

• kailashahirwar/cheatsheets-ai

  Essential Cheat Sheets for deep learning and machine learning researchers https://medium.com/@kailashahirwar/essential-cheat-sheets-for-machine-learning-and-deep-learning-researchers-efb6a8ebd2e5

  15.1k3.4k

• minimaxir/automl-gs

  Provide an input CSV and a target field to predict, generate a model + code to run it.

  Language:Python1.8k178

• 996icu/996.ICU

  Repo for counting stars and contributing. Press F to pay respect to glorious developers.

  270k21.2k

• formulahendry/955.WLB

  955 不加班的公司名单 - 工作 955，work–life balance (工作与生活的平衡)

  34.6k1.7k

• recommenders-team/recommenders

  Best Practices on Recommendation Systems

  Language:Python18.8k3.1k

• neosyon/SimpTextAlign

  Repo for the simplified text alignment tools.

  Language:Java217

• ray-project/ray

  Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

  Language:Python32.9k5.6k

• leisurelicht/wtfpython-cn

  wtfpython的中文翻译/施工结束/ 能力有限，欢迎帮我改进翻译

  Language:Jupyter Notebook12.5k2.1k

• cornellius-gp/gpytorch

  A highly efficient implementation of Gaussian Processes in PyTorch

  Language:Python3.5k553

• sindresorhus/awesome

  😎 Awesome lists about all kinds of interesting topics

  323k27.6k

• huggingface/transformers

  🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

  Language:Python132k26.2k

• scutan90/DeepLearning-500-questions

  深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06

  Language:JavaScript54.2k15.8k

• google-research/bert

  TensorFlow code and pre-trained models for BERT

  Language:Python37.8k9.6k

• acbraith/CSML_notes

  UCL MSc Computational Statistics and Machine Learning Revision Notes

  28059

• PAIR-code/facets

  Visualizations for machine learning datasets

  Language:Jupyter Notebook7.3k886

• google-deepmind/pysc2

  StarCraft II Learning Environment

  Language:Python8k1.2k