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🧑🏫 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, ... 🧠
High-performance RL post-training infrastructure. Designed to achieve bitwise operator-level train-inference consistency across heterogeneous engines and extreme memory efficiency for GRPO, PPO, etc.
:zap: :zap: Deep RL (PPO) agent that manages a Uniswap V3 concentrated liquidity position, deciding when to hold, collect fees, or rebalance. Trained and validated against real on-chain data
An Easy-to-use, Scalable and High-performance Agentic RL Framework based on Ray (PPO & DAPO & REINFORCE++ & VLM & TIS & vLLM & Ray & Async RL)
Comprehensive toolkit for Reinforcement Learning from Human Feedback (RLHF) training, featuring instruction fine-tuning, reward model training, and support for PPO and DPO algorithms with various configurations for the Transformer 5 models including Qwen 3.0
DRL Trading - AI Gold Trading Bot Deep reinforcement learning system for autonomous XAUUSD trading using: - PPO & Dreamer algorithms (PyTorch) - 140+ features: multi-timeframe, macro data, economic events - MetaTrader 5 live trading - 2M steps trained, targeting 80-120% annual returns - Multiple strategies (aggressive/swing/standard)
AI/ML Trading Bot for MetaTrader 5 - XAUUSD Gold Trading. Merged & optimized codebase from 25+ top repos including DRL (PPO/Dreamer), LSTM, Transformers, Ensemble ML, and production-ready trading engine.
In-hand reorientation RL: PPO training and sim-to-real deployment for the Wuji Hand, built on mjlab.
Teaching materials for a future Foundation of Embodied AI course, with Chinese and English tutorials on robot dynamics, Isaac Sim, Isaac Lab, MuJoCo, robot learning, ROS 2, camera calibration, PPO, SAC, Flow Matching, GR00T, and SONIC.