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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）
A curated list of awesome libraries, packages, strategies, books, blogs, tutorials for systematic trading.
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.
NVIDIA Merlin is an open source library providing end-to-end GPU-accelerated recommender systems, from feature engineering and preprocessing to training deep learning models and running inference i…
some useful papers and blogs for people who are interested in online advertising
[🔥updating ...] AI 自动量化交易机器人(完全本地部署) AI-powered Quantitative Investment Research Platform. 📃 online docs: https://ufund-me.github.io/Qbot ✨ :news: qbot-mini: https://github.com/Charmve/iQuant
Source code for Twitter's Recommendation Algorithm
TradeMaster is an open-source platform for quantitative trading empowered by reinforcement learning 🔥 ⚡ 🌈
This is the homepage of a new book entitled "Mathematical Foundations of Reinforcement Learning."
Investment Research for Everyone, Everywhere.
Parquet-based ML data format optimized for working with unstructured data
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…
Futu Algorithmic Trading Solution (Python) 基於富途OpenAPI所開發量化交易程序
Feathr – A scalable, unified data and AI engineering platform for enterprise
A PyTorch implementation of Mugs proposed by our paper "Mugs: A Multi-Granular Self-Supervised Learning Framework".
UpliftML: A Python Package for Scalable Uplift Modeling
Pytorch domain library for recommendation systems
High performance distributed framework for training deep learning recommendation models based on PyTorch.
A unified, comprehensive and efficient recommendation library
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
Perceptual video quality assessment based on multi-method fusion.
Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
OpenMLDB is an open-source machine learning database that provides a feature platform computing consistent features for training and inference.
Awesome Deep Learning papers for industrial Search, Recommendation and Advertisement. They focus on Embedding, Matching, Ranking (CTR/CVR prediction), Post Ranking, Large Model (Generative Recommen…
Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and create value using AI technologies in quantitative investment, from exploring ideas…
PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....