onejune

onejune's Stars

• 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:Python1.2k195

• facebookresearch/generative-recommenders

  Repository hosting code used to reproduce results in "Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations" (https://arxiv.org/abs/2402.17152).

  Language:Python670111

• UlionTse/mlgb

  MLGB is a library that includes many models of CTR Prediction & Recommender System by TensorFlow & PyTorch. MLGB是一个包含50+点击率预估和推荐系统深度模型的、通过TensorFlow和PyTorch撰写的库。

  Language:Python46425

• i-Jayus/RecSystem-Pytorch

  推荐系统论文算法实现，包括序列推荐，多任务学习，元学习等。 Recommendation system papers implementations, including sequence recommendation, multi-task learning, meta-learning, etc.

  Language:Python14419

• NVIDIA-Merlin/Transformers4Rec

  Transformers4Rec is a flexible and efficient library for sequential and session-based recommendation and works with PyTorch.

  Language:Python1.1k143

• Coder-Yu/SELFRec

  An open-source framework for self-supervised recommender systems.

  Language:Python50375

• onejune/MOVAS_github

  Language:Python1

• shenweichen/DeepMatch

  A deep matching model library for recommendations & advertising. It's easy to train models and to export representation vectors which can be used for ANN search.

  Language:Python2.2k530

• binary-husky/gpt_academic

  为GPT/GLM等LLM大语言模型提供实用化交互接口，特别优化论文阅读/润色/写作体验，模块化设计，支持自定义快捷按钮&函数插件，支持Python和C++等项目剖析&自译解功能，PDF/LaTex论文翻译&总结功能，支持并行问询多种LLM模型，支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, moss等。

  Language:Python64.5k8k

• shenweichen/DeepCTR

  Easy-to-use,Modular and Extendible package of deep-learning based CTR models .

  Language:Python7.5k2.2k

• dragen1860/MAML-Pytorch

  Elegant PyTorch implementation of paper Model-Agnostic Meta-Learning (MAML)

  Language:Python2.3k420

• dragen1860/awesome-meta-learning

  A curated list of Meta-Learning resources/papers.

  554100

• alimama-creative/A_Hybrid_Bandit_Model_with_Visual_Priors_for_Creative_Ranking

  A Hybrid Bandit Model with Visual Priors for Creative Ranking in Display Advertising

  Language:Python335

• alimama-creative/AutoCO

  Codes for paper "Automated Creative Optimization for E-Commerce Advertising"

  Language:Python95

• alimama-creative/AES-Adaptive-and-Efficient-ad-creative-Selection

  Language:Python85

• lucidrains/slot-attention

  Implementation of Slot Attention from GoogleAI

  Language:Python38033

• mindalpha/MindAlpha

  Language:C++419

• RUCAIBox/RecBole

  A unified, comprehensive and efficient recommendation library

  Language:Python3.4k606

• guyulongcs/Awesome-Self-supervised-Learning-papers

  Awesome Self-supervised papers in CV, NLP, Graph, Recommendation, ML and so on.

  Language:Python366

• BestJuly/IIC

  Official implementation of ACMMM'20 paper 'Self-supervised Video Representation Learning Using Inter-intra Contrastive Framework'

  Language:Python11113

• amazon-science/video-contrastive-learning

  Video Contrastive Learning with Global Context, ICCVW 2021

  Language:Python15816

• megvii-research/ML-GCN

  PyTorch implementation of Multi-Label Image Recognition with Graph Convolutional Networks, CVPR 2019.

  Language:Python1.4k344

• facebookresearch/LeViT

  LeViT a Vision Transformer in ConvNet's Clothing for Faster Inference

  Language:Python59971

• salesforce/ALBEF

  Code for ALBEF: a new vision-language pre-training method

  Language:Python1.5k195

• gpeyre/SinkhornAutoDiff

  Toolbox to integrate optimal transport loss functions using automatic differentiation and Sinkhorn's algorithm

  Language:Python42838

• leerumor/contrastive_learning_codes

  A list of Contrastive Learning Papers&Codes. Unsupervised: MoCo/SimCLR/SwAV/BYOL/SimSiam

  23917

• xmu-xiaoma666/External-Attention-pytorch

  🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

  Language:Python11.3k1.9k

• shenweichen/DeepCTR-Torch

  【PyTorch】Easy-to-use,Modular and Extendible package of deep-learning based CTR models.

  Language:Python3k702

• google-research/simclr

  SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners

  Language:Jupyter Notebook4.1k622

• PaddlePaddle/models

  Officially maintained, supported by PaddlePaddle, including CV, NLP, Speech, Rec, TS, big models and so on.

  Language:Python6.9k2.9k