Retrieval and Retrieval-augmented LLMs

This is the homepage of a new book entitled "Mathematical Foundations of Reinforcement Learning."

Offers a toolset for comprehensive, multi-faceted large-scale data analysis and optimizations

A flow chart editing framework focus on business customization. 专注于业务自定义的流程图编辑框架，支持实现脑图、ER图、UML、工作流等各种图编辑场景。

Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)

RSTutorials: A Curated List of Algorithms about Traditional and Social Recommender System.

RSTutorials: A Curated List of Must-read Papers on Recommender System.

tensorflow实战练习，包括强化学习、推荐系统、nlp等

A PyTorch implementation of Ranking Distillation

A Versatile and Accurate Monocular SLAM

Some projects using orb-slam2

Matlab code used for the paper " Invariant Kalman Filtering for Visual Inertial SLAM"

Robust Stereo Visual Inertial Odometry for Fast Autonomous Flight

CTR prediction models based on deep learning(基于深度学习的广告推荐CTR预估模型)

A distributed graph deep learning framework.

Modern C++ Apache Kafka client library (wrapper for librdkafka)

A List of Recommender Systems and Resources

Learning embeddings for classification, retrieval and ranking.

Google 开源项目风格指南 (中文版)

Library for fast text representation and classification.

Apache Spark - A unified analytics engine for large-scale data processing

A light-weight RPC implement of google protobuf RPC framework.

Blade is a powerful build system from Tencent, supports many mainstream programming languages, such as C/C++, java, scala, python, protobuf...