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ChatGLM-6B: An Open Bilingual Dialogue Language Model | 开源双语对话语言模型
The latest research progress of Contrastive Learning(CL), Data Augmentation(DA) and Self-Supervised Learning(SSL) in Recommender Systems
LibRerank is a toolkit for re-ranking algorithms. There are a number of re-ranking algorithms, such as PRM, DLCM, GSF, miDNN, SetRank, EGRerank, Seq2Slate.
Worth-reading papers and related awesome resources on matching task. 值得一读的匹配任务相关论文与资源集合
RSTutorials: A Curated List of Must-read Papers on Recommender System.
Bug-fix-only libev port of shadowsocks. Future development moved to shadowsocks-rust
PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）
🔥🔥超过1000本的计算机经典书籍、个人笔记资料以及本人在各平台发表文章中所涉及的资源等。书籍资源包括C/C++、Java、Python、Go语言、数据结构与算法、操作系统、后端架构、计算机系统知识、数据库、计算机网络、设计模式、前端、汇编以及校招社招各种面经~
(RecSys 2020) Adaptively Distilled Exemplar Replay towards Continual Learning for Session-based Recommendation [Best Short Paper]
A distributed approximate nearest neighborhood search (ANN) library which provides a high quality vector index build, search and distributed online serving toolkits for large scale vector search sc…
精选机器学习，NLP，图像识别， 深度学习等人工智能领域学习资料，搜索，推荐，广告系统架构及算法技术资料整理。算法大牛笔记汇总
🔠Foreign language reading and translation assistant based on copy and translate.
推荐、广告工业界经典以及最前沿的论文、资料集合/ Must-read Papers on Recommendation System and CTR Prediction
PaddleSlim is an open-source library for deep model compression and architecture search.
TNN: developed by Tencent Youtu Lab and Guangying Lab, a uniform deep learning inference framework for mobile、desktop and server. TNN is distinguished by several outstanding features, including its…
A curated list of neural network pruning resources.
Awesome Knowledge-Distillation. 分类整理的知识蒸馏paper(2014-2021)。
[ICLR 2020] Once for All: Train One Network and Specialize it for Efficient Deployment
CausalLift: Python package for causality-based Uplift Modeling in real-world business
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its go…
Representation learning on large graphs using stochastic graph convolutions.
Learning Resources And Links Of Reinforcement Learning （updating）
Python Implementation of Reinforcement Learning: An Introduction
AutoFIS: Automatic Feature Interaction Selection in Factorization Models for Click-Through Rate Prediction