Shawn617

Shawn617's Stars

• hpcaitech/ColossalAI

  Making large AI models cheaper, faster and more accessible

  Language:Python38.8k3861.7k4.3k

• Lightning-AI/pytorch-lightning

  Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.

  Language:Python28.5k2507.2k3.4k

• recommenders-team/recommenders

  Best Practices on Recommendation Systems

  Language:Python19.3k2768693.1k

• thunlp/PromptPapers

  Must-read papers on prompt-based tuning for pre-trained language models.

  4.1k1185380

• benfred/implicit

  Fast Python Collaborative Filtering for Implicit Feedback Datasets

  Language:Python3.6k77494612

• pytorch/torchrec

  Pytorch domain library for recommendation systems

  Language:Python2k33181442

• graph4ai/graph4nlp

  Graph4nlp is the library for the easy use of Graph Neural Networks for NLP. Welcome to visit our DLG4NLP website (https://dlg4nlp.github.io/index.html) for various learning resources!

  Language:Python1.7k30172201

• totogo/awesome-knowledge-graph

  A curated list of Knowledge Graph related learning materials, databases, tools and other resources

  1.5k395140

• statisticianinstilettos/recmetrics

  A library of metrics for evaluating recommender systems

  Language:Jupyter Notebook571152599

• RexYing/diffpool

  Language:Python4821140136

• coder-duibai/Contrastive-Learning-Papers-Codes

  A comprehensive list of Awesome Contrastive Learning Papers&Codes.Research include, but are not limited to: CV, NLP, Audio, Video, Multimodal, Graph, Language, etc.

  4025142

• kipgparker/soft-prompt-tuning

  Language:Jupyter Notebook33951244

• nikhilbarhate99/Hierarchical-Actor-Critic-HAC-PyTorch

  PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments

  Language:Python2978749

• shuxinyin/NLP-Loss-Pytorch

  Implementation of some unbalanced loss like focal_loss, dice_loss, DSC Loss, GHM Loss et.al

  Language:Python2544545

• indrajithi/genquest

  Automatic question generation by using NLP

  Language:Python20912960

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

  Awesome Deep Reinforcement Learning papers for industrial Search, Recommendation and Advertising.

  1998032

• laming-chen/fast-map-dpp

  Fast Greedy MAP Inference for DPP

  Language:Python1223230

• lweitkamp/option-critic-pytorch

  PyTorch implementation of the Option-Critic framework, Harb et al. 2016

  Language:Python1184938

• microsoft/KEAR

  Official code for achieving human parity on CommonsenseQA with External Attention

  Language:Python109101825

• kibok90/imix

  ICLR 2021 i-Mix: A Domain-Agnostic Strategy for Contrastive Representation Learning

  Language:Python77387

• cieske/Diverse-RecSys

  Collection of diverse recommendation papers

  60404

• hugochan/PFoodReq

  Code & data accompanying the WSDM 2021 paper "Personalized Food Recommendation as Constrained Question Answering over a Large-scale Food Knowledge Graph"

  Language:Python601221

• tsinghua-fib-lab/DGCN

  The official implementation of "DGCN: Diversified Recommendation with Graph Convolutional Networks" (WWW '21)

  Language:Python582139

• ruizhang-ai/GMCF_Neural_Graph_Matching_based_Collaborative_Filtering

  GMCF: Neural Graph Matching based Collaborative Filtering, SIGIR 2021

  Language:Python5421212

• p208p2002/Transformer-QG-on-SQuAD

  Implement Question Generator with SOTA pre-trained Language Models (RoBERTa, BERT, GPT, BART, T5, etc.)

  Language:Python48353

• GrittyChen/NLG-evaluation

  A toolkit for evaluation of natural language generation (NLG), including BLEU, ROUGE, METEOR, and CIDEr.

  Language:Python31124

• jzbjyb/DSSA

  Document Sequence with Subtopic Attention

  Language:Python185210

• QQQHY/PDGAN

  Language:Python6311

• NLPWM-WHU/EDUA

  Code of our paper "Enhancing Domain-Level and User-Level Adaptivity in Diversified Recommendation" accepted by SIGIR 2021.

  Language:Python5004

• mohit242/Option-Critic-Pytorch

  Language:Python4201