toughlau

toughlau's Stars

• VITA-Group/Adversarial-Contrastive-Learning

  [NeurIPS 2020] “ Robust Pre-Training by Adversarial Contrastive Learning”, Ziyu Jiang, Tianlong Chen, Ting Chen, Zhangyang Wang

  Language:Python11016

• toughlau/MoCov3-pytorch

  custom pytorch implementation of MoCo v3

  1

• CupidJay/MoCov3-pytorch

  custom pytorch implementation of MoCo v3

  Language:Python446

• toughlau/tuning_playbook

  A playbook for systematically maximizing the performance of deep learning models.

  1

• RUCAIBox/CIKM2020-S3Rec

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

  Language:Python23136

• google-research/tuning_playbook

  A playbook for systematically maximizing the performance of deep learning models.

  25.8k2.2k

• iptv-org/iptv

  Collection of publicly available IPTV channels from all over the world

  Language:JavaScript81k2k

• stasi009/PracticalGuidetoRecSys

  《互联网大厂推荐算法实战》资料库

  Language:Python17439

• PacktPublishing/Mastering-PyTorch

  Mastering PyTorch, published by Packt

  Language:Jupyter Notebook242108

• westlake-repl/Recommendation-Systems-without-Explicit-ID-Features-A-Literature-Review

  Paper List of Pre-trained Foundation Recommender Models

  25620

• RUCAIBox/RecBole-DA

  Language:Python195

• wangshusen/SearchEngine

  搜索引擎原理

  1.3k102

• aksnzhy/xlearn

  High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization machines (FM), and field-aware factorization machines (FFM) for Python and CLI interface.

  Language:C++3.1k519

• wzhe06/Reco-papers

  Classic papers and resources on recommendation

  Language:Python3.3k803

• alwdhaieufna/exp2

  Language:Python76

• Kim-Minseon/RoCL

  Code for the paper "Adversarial Self-supervised Contrastive Learning" (NeurIPS 2020)

  Language:Python16921

• RUCAIBox/RecBole2.0

  An up-to-date, comprehensive and flexible recommendation library

  16721

• facebookresearch/simsiam

  PyTorch implementation of SimSiam https//arxiv.org/abs/2011.10566

  Language:Python1.1k178

• facebookresearch/moco-v3

  PyTorch implementation of MoCo v3 https//arxiv.org/abs/2104.02057

  Language:Python1.2k151

• YChen1993/CoSeRec

  Contrastive Self-supervised Sequential Recommendation with Robust Augmentation

  Language:Python7214

• KlaineWei/MoCo4SRec

  Language:Python5

• facebookresearch/moco

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

  Language:Python4.6k769

• IsakZhang/ABSA-QUAD

  Language:Python7311

• AnWang-AI/AugABSA

  This repository contains codes for *Sem 2023 paper “Generative Data Augmentation for Aspect Sentiment Quad Prediction”.

  Language:Python8

• LAION-AI/Open-Instruction-Generalist

  Open Instruction Generalist is an assistant trained on massive synthetic instructions to perform many millions of tasks

  Language:Python20319

• THUDM/P-tuning-v2

  An optimized deep prompt tuning strategy comparable to fine-tuning across scales and tasks

  Language:Python1.9k194

• amazon-science/instruction-tuning-for-absa

  Language:Python132

• datawhalechina/llm-cookbook

  面向开发者的 LLM 入门教程，吴恩达大模型系列课程中文版

  Language:Jupyter Notebook10.4k1.3k

• google-research/text-to-text-transfer-transformer

  Code for the paper "Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer"

  Language:Python6k749

• databricks-academy/llm-foundation-models

  Language:Python210113