Stars
An Open Source Machine Learning Framework for Everyone
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
🦜🔗 The platform for reliable agents.
scikit-learn: machine learning in Python
Awesome Deep Learning papers for industrial Search, Recommendation and Advertisement. They focus on Embedding, Matching, Pre-Ranking, Ranking (CTR/CVR prediction), Post Ranking, Relevance, LLM, Rei…
搜索、推荐、广告、用增等工业界实践文章收集（来源：知乎、Datafuntalk、技术公众号）
Gin is a high-performance HTTP web framework written in Go. It provides a Martini-like API but with significantly better performance—up to 40 times faster—thanks to httprouter. Gin is designed for …
Models and examples built with TensorFlow
TensorFlow Recommenders is a library for building recommender system models using TensorFlow.
📚 Freely available programming books
the resources about the application based on LLM with RAG pattern
推荐系统入门教程，在线阅读地址：https://datawhalechina.github.io/fun-rec/
A Python library for extracting structured information from unstructured text using LLMs with precise source grounding and interactive visualization.
Various Algorithms for Short Text Mining
Rembg is a tool to remove images background
State-of-the-Art Text Embeddings
《李宏毅深度学习教程》（李宏毅老师推荐👍，苹果书🍎），PDF下载地址：https://github.com/datawhalechina/leedl-tutorial/releases
Your new Mentor for Data Science E-Learning.
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.
Header-only C++/python library for fast approximate nearest neighbors
PIKE-RAG: sPecIalized KnowledgE and Rationale Augmented Generation
Source code for the X Recommendation Algorithm
Awesome Search - this is all about the (e-commerce, but not only) search and its awesomeness
Python package built to ease deep learning on graph, on top of existing DL frameworks.
Versatile End-to-End Recommender System
FaceChain is a deep-learning toolchain for generating your Digital-Twin.