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Recommender system based on Flink and Reinforcement Learning
??? 60+ Implementations/tutorials of deep learning papers with side-by-side notes ?; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), ? reinforcement learning (ppo, dqn), capsnet, distillation, ... ?
The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement learning and imitation learning.
Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.
《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
flink learning blog. http://www.54tianzhisheng.cn/ 含 Flink 入门、概念、原理、实战、性能调优、源码解析等内容。涉及 Flink Connector、Metrics、Library、DataStream API、Table API & SQL 等内容的学习案例,还有 Flink 落地应用的大型项目案例(PVUV、日志存储、百亿数据实时去重、监控告警)分享。欢迎大家支持我的专栏《大数据实时计算引擎 Flink 实战与性能优化》
Python Implementation of Reinforcement Learning: An Introduction
Bullet Physics SDK: real-time collision detection and multi-physics simulation for VR, games, visual effects, robotics, machine learning etc.
A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers.
强化学习中文教程(蘑菇书?),在线阅读地址:https://datawhalechina.github.io/easy-rl/
Example ? Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using ? Amazon SageMaker.