edgeml-dqn

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

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.

FinRL: Financial Reinforcement Learning. ?

强化学习中文教程（蘑菇书?），在线阅读地址：https://datawhalechina.github.io/easy-rl/

WasmEdge is a lightweight, high-performance, and extensible WebAssembly runtime for cloud native, edge, and decentralized applications. It powers serverless apps, embedded functions, microservices, smart contracts, and IoT devices.

(?■_■) - Deep Reinforcement Learning instrumenting bettercap for WiFi pwning.

Trax — Deep Learning with Clear Code and Speed

Lab Materials for MIT 6.S191: Introduction to Deep Learning

? A fast WebAssembly interpreter and the most universal WASM runtime

Kubernetes Native Edge Computing Framework (project under CNCF)