GrameRules

GrameRules's Stars

• labmlai/annotated_deep_learning_paper_implementations

  🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

  Language:Python57.9k4621335.9k

• ljpzzz/machinelearning

  My blogs and code for machine learning. http://cnblogs.com/pinard

  Language:Jupyter Notebook8.4k302253.7k

• thuml/Time-Series-Library

  A Library for Advanced Deep Time Series Models.

  Language:Python7.7k785741.2k

• jason718/awesome-self-supervised-learning

  A curated list of awesome self-supervised methods

  6.2k24819831

• facebookresearch/moco

  PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722

  Language:Python4.9k52135799

• ashleve/lightning-hydra-template

  PyTorch Lightning + Hydra. A very user-friendly template for ML experimentation. ⚡🔥⚡

  Language:Python4.4k29247664

• PaddlePaddle/PaddleRec

  Recommendation Algorithm大规模推荐算法库，包含推荐系统经典及最新算法LR、Wide&Deep、DSSM、TDM、MIND、Word2Vec、Bert4Rec、DeepWalk、SSR、AITM，DSIN，SIGN，IPREC、GRU4Rec、Youtube_dnn、NCF、GNN、FM、FFM、DeepFM、DCN、DIN、DIEN、DLRM、MMOE、PLE、ESMM、ESCMM, MAML、xDeepFM、DeepFEFM、NFM、AFM、RALM、DMR、GateNet、NAML、DIFM、Deep Crossing、PNN、BST、AutoInt、FGCNN、FLEN、Fibinet、ListWise、DeepRec、ENSFM，TiSAS，AutoFIS等，包含经典推荐系统数据集criteo 、movielens等

  Language:Python4.4k194218728

• Coder-Yu/QRec

  QRec: A Python Framework for quick implementation of recommender systems (TensorFlow Based)

  Language:Python1.6k69145406

• jundongl/scikit-feature

  open-source feature selection repository in python

  Language:Python1.5k6056445

• guyulongcs/Awesome-Deep-Learning-Papers-for-Search-Recommendation-Advertising

  Awesome Deep Learning papers for industrial Search, Recommendation and Advertisement. They focus on Embedding, Matching, Ranking (CTR/CVR prediction), Post Ranking, Large Model (Generative Recommendation, LLM), Transfer learning, Reinforcement Learning and so on.

  Language:Python1.5k531230

• drawbridge/keras-mmoe

  A TensorFlow Keras implementation of "Modeling Task Relationships in Multi-task Learning with Multi-gate Mixture-of-Experts" (KDD 2018)

  Language:Python6961518222

• dev-sungman/Awesome-Self-Supervised-Papers

  Paper bank for Self-Supervised Learning

  57941459

• imbue-ai/self_supervised

  A Pytorch-Lightning implementation of self-supervised algorithms

  Language:Python536121351

• pgmpy/pgmpy_notebook

  Short Tutorial to Probabilistic Graphical Models(PGM) and pgmpy

  Language:Jupyter Notebook3732536211

• xiaxin1998/DHCN

  Codes for AAAI'21 paper 'Self-Supervised Hypergraph Convolutional Networks for Session-based Recommendation'

  Language:Python16812328

• XiuzeZhou/CALCE

  锂电池数据集 CALCE

  Language:Jupyter Notebook1521438

• mpatacchiola/self-supervised-relational-reasoning

  Official PyTorch implementation of the paper "Self-Supervised Relational Reasoning for Representation Learning", NeurIPS 2020 Spotlight.

  Language:Python1428525

• aHuiWang/CIKM2020-S3Rec

  Code for CIKM2020 "S3-Rec: Self-Supervised Learning for Sequential Recommendation with Mutual Information Maximization"

  Language:Python7911448

• XiuzeZhou/Recommender-Systems

  collaborative filtering methods for recommender systems

  Language:Jupyter Notebook614219

• sukeshsangam/Deep-Learning-Model-for-Hybrid-Recommendation-Engine

  A Hybrid recommendation engine built on deep learning architecture, which has the potential to combine content-based and collaborative filtering recommendation mechanisms using a deep learning supervisor

  Language:Python30008

• Lizhen0797/MMoE-TF2.0

  MMoE-TF2.0

  Language:Jupyter Notebook280113

• paulorauber/pgm

  Probabilistic graphical models in python

  Language:Python222110

• Zziwei/Fairness-in-Cold-Start-Recommendation

  Code for our SIGIR 2021 paper :'Fairness among New Items in Cold Start Recommender Systems'

  Language:Jupyter Notebook18225

• YeonwooSung/SelfSupervisedLearning_PyTorch

  PyTorch Implementation of Self-Supervised Learning models

  Language:Jupyter Notebook11306

• yanda-wang/SARMR

  Implement for Self-supervised Adversarial Regularization model for Medication Recommendation (SARMR)

  Language:Python8100

• AnranWang/PACE

  Experiment code for Bridging Collaborative Filtering and Semi-Supervised Learning: A Neural Approach for POI recommendation

  Language:Jupyter Notebook72011

• winterant/MPCN

  MPCN implemented using Pytorch for KDD 2018 Paper "Multi-Pointer Co-Attention Networks for Recommendation"

  Language:Python7201

• SunwardTree/TRGIR

  The code to reproduce the experimental results for "A Text-based Deep Reinforcement Learning Framework using Self-supervised Graph Representation for Interactive Recommendation"

  Language:Python6210

• JEET-123/Advanced-Recommendation-Systems---Deep-Learning-and-Energy-Based-Modelling-Approaches

  This Repositary delves deep into the building of Recommendation Systems using Self-Supervised Pattern Recognition Algorithm using Stacked Autoencoders and also using Advanced Self-Supervised Undirected Energy Based Modelling Algorithms like Restricted Boltzmann Machines

  Language:Jupyter Notebook3100

• XiuzeZhou/Recommendation-System-Pytorch

  Language:Python210