1.eriklindernoren / ML-From-Scratch
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.
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8 repositories by Attention Score · Oct 4, 2026 – Nov 2, 2026 (UTC)
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.
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
FinRL-X: An AI-Native Modular Infrastructure for Quantitative Trading
(⌐■_■) - Deep Reinforcement Learning instrumenting bettercap for WiFi pwning.
An offline deep reinforcement learning library
ROS package for dynamic obstacle avoidance for ground robots trained with deep RL
Scalable, event-driven, deep-learning-friendly backtesting library
Trax — Deep Learning with Clear Code and Speed