eelnowes231

eelnowes231's Stars

• openai/gym

  A toolkit for developing and comparing reinforcement learning algorithms.

  Language:Python34.5k1.1k1.8k8.6k

• Oneflow-Inc/oneflow

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

  Language:C++5.9k145966661

• DeepLabCut/DeepLabCut

  Official implementation of DeepLabCut: Markerless pose estimation of user-defined features with deep learning for all animals incl. humans

  Language:Python4.5k1271.9k1.6k

• bentrevett/pytorch-sentiment-analysis

  Tutorials on getting started with PyTorch and TorchText for sentiment analysis.

  Language:Jupyter Notebook4.3k831091.2k

• nlp-with-transformers/notebooks

  Jupyter notebooks for the Natural Language Processing with Transformers book

  Language:Jupyter Notebook3.8k60981.2k

• huggingface/notebooks

  Notebooks using the Hugging Face libraries 🤗

  Language:Jupyter Notebook3.5k701641.5k

• RUCAIBox/RecBole

  A unified, comprehensive and efficient recommendation library

  Language:Python3.3k40960601

• huggingface/course

  The Hugging Face course on Transformers

  Language:MDX2.2k47150696

• LyWangPX/Reinforcement-Learning-2nd-Edition-by-Sutton-Exercise-Solutions

  Solutions of Reinforcement Learning, An Introduction

  Language:Jupyter Notebook2k3585456

• sokrypton/ColabFold

  Making Protein folding accessible to all!

  Language:Jupyter Notebook1.9k47545474

• cdpierse/transformers-interpret

  Model explainability that works seamlessly with 🤗 transformers. Explain your transformers model in just 2 lines of code.

  Language:Jupyter Notebook1.3k207596

• tangxyw/RecSysPapers

  推荐/广告/搜索领域工业界经典以及最前沿论文集合。A collection of industry classics and cutting-edge papers in the field of recommendation/advertising/search.

  Language:Python1.2k510190

• WegraLee/deep-learning-from-scratch

  『밑바닥부터 시작하는 딥러닝』(한빛미디어, 2017)

  Language:Python1.2k9401.2k

• JonathonLuiten/TrackEval

  HOTA (and other) evaluation metrics for Multi-Object Tracking (MOT).

  Language:Python95018105232

• tdpetrou/Machine-Learning-Books-With-Python

  Chapter by Chapter notes, exercises and code for a variety of machine learning books using Python

  Language:Jupyter Notebook932550586

• google-research/recsim

  A Configurable Recommender Systems Simulation Platform

  Language:Python7393730128

• brynhayder/reinforcement_learning_an_introduction

  Notes and exercise solutions for second edition of Sutton & Barto's book

  Language:TeX34581073

• enoche/MMRec

  A Toolbox for MultiModal Recommendation. Integrating 10+ Models...

  Language:Python31533238

• enoche/MultimodalRecSys

  A curated list of awesome resources about multimodal recommender systems.

  2688321

• CNugteren/myGEMM

  Code appendix to an OpenCL matrix-multiplication tutorial

  Language:C1607953

• westlake-repl/MicroLens

  A Large Short-video Recommendation Dataset with Raw Text/Audio/Image/Videos (Talk Invited by DeepMind).

  Language:Python121098

• suparklingmin/lecture

  Language:Python1136012

• backgom2357/Recommender_system_via_deep_RL

  The implemetation of Deep Reinforcement Learning based Recommender System from the paper Deep Reinforcement Learning based Recommendation with Explicit User-Item Interactions Modeling by Liu et al.

  Language:Jupyter Notebook10041335

• delalamo/af2_conformations

  A series of scripts that facilitate the prediction of protein structures in multiple conformations using AlphaFold2

  Language:Python9041323

• DongZhouGu/arxiv-daily

  arxiv-daily

  Language:Python6668487

• tinkoff-ai/probabilistic-embeddings

  "Probabilistic Embeddings Revisited" paper official repository

  Language:Python26300

• steineggerlab/colabfold-protocol

  ColabFold protocol

  Language:Jupyter Notebook22404

• Jyonn/VQ4Rec

  Awesome Papers Using Vector Quantization for Recommender Systems (VQ4Rec)

  9201

• zhouyw16/SEM-MacridVAE

  Disentangled Representation Learning for Recommendation. TPAMI 2022

  Language:Python61

• yeokwangeun/MAT

  Real-time multi-person tracker using YOLO v3 and deep sort

  Language:Python3103