Don't memorize ML. Understand it from first principles including Inference, Cuda, Deep Learning, Data Science and Reinforcement Learning
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Don't memorize ML. Understand it from first principles including Inference, Cuda, Deep Learning, Data Science and Reinforcement Learning
This project provides a stock market environment using OpenGym with Deep Q-learning and Policy Gradient.
[ICRA] Crowd-aware Robot Navigation
ROS package for dynamic obstacle avoidance for ground robots trained with deep RL
A curated list of Monte Carlo tree search papers with implementations.
Environment for reinforcement-learning algorithmic trading models
🦍 Memorilla: Latent Semantic Memory for LLMs
A light-weight deep reinforcement learning framework for portfolio management. This project explores the possibility of applying deep reinforcement learning algorithms to stock trading in a highly modular and scalable framework.
Reproducing the results of "Playing Atari with Deep Reinforcement Learning" by DeepMind
An OpenAI gym wrapper for CARLA simulator
Open, source-backed catalog of computer-use agents: reviewed papers, GUI models, datasets, benchmarks, tools, and reusable JSONL/SQLite data.
TensorLayerX: A Unified Deep Learning and Reinforcement Learning Framework for All Hardwares, Backends and OS.
Translated🦆 Feetech HD1910 Microduck replica: one-legged balance, ready-to-use models, Chinese console, custom HAT/IMU & 3-step build guides. No training required.
This extension transforms the Gemini CLI into "Pickle Rick," a hyper-intelligent, arrogant, yet extremely competent engineering persona. It enforces a rigid, iterative software development lifecycle through continuous AI agent loops. Emphasizing "God Mode" coding practices and a disdain for
Scikit-learn for Recursive Self-improvement (RSI). A modular framework for recursive harness evolution.
Reinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ...
Trading Environment(OpenAI Gym) + DDQN (Keras-RL)
Deep Reinforcement Learning for de-novo Drug Design
A simple and highly efficient RTS-game-inspired environment for reinforcement learning
Official repository for the paper “RSIPO: Recursive Self-Improving Policy Optimization for Agentic Reinforcement Learning via Skill-Policy Co-Evolution”
A custom TextField with a switchable icon which shows or hides the password and enforce good password policies
NsDepCop is a static code analysis tool that enforces namespace and assembly dependency rules in C# projects.
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.
Maze Applied Reinforcement Learning Framework