Machine learning, in numpy
- machine-learning
- neural-networks
- topic-modeling
- gaussian-mixture-models
47,133 repositories indexed
1–15 of 15 · Most stars
Machine learning, in numpy
OpenDILab Decision AI Engine. The Most Comprehensive Reinforcement Learning Framework B.P.
Reinforcement Learning environments based on the 1993 game Doom :godmode:
PGPortfolio: Policy Gradient Portfolio, the source code of "A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem"(https://arxiv.org/pdf/1706.10059.pdf).
The original code from the DeepMind article + my tweaks
Environment for reinforcement-learning algorithmic trading models
Reproduction of SuperMimic (arXiv:2610.28480): learned differentiable world model + BPTT policy for G1 humanoid motion tracking, on mjlab/MuJoCo Warp
Every day, millions of traders around the world are trying to make money by trading stocks. These days, physical traders are also being replaced by automated trading robots. Algorithmic trading market has experienced significant growth rate and large number of firms are using it. I have tried to build a Deep Q-learning reinforcement agent model to do automated stock trading.
TavernGym and TavernBench: a faithful, full-content Hearthstone Battlegrounds simulator with an RL interface, and a 960-task decision benchmark. Code and data for "Build, Don't Play".
This trading-gym is the first trading for agent to train with episode of short term trading itself.
The official code of Agent-World: Scaling Real-World Environment Synthesis for Evolving General Agent Intelligence
A micro neural network multilayer perceptron for MicroPython (used on ESP32 and Pycom modules)
Official code for "Reinforcement Fine-Tuning of Flow-Matching Policies for Vision-Language-Action Models" (ICRA 2026): Flow Policy Optimization for pi0
Workbench for practical machine learning in Ruby.
Generative models for transcriptomic-driven or protein-driven molecular design (PaccMann^RL).