Skills for Real Engineers. Straight from my .agents directory.

A single CLAUDE.md file to improve Claude Code behavior, derived from Andrej Karpathy's observations on LLM coding pitfalls.

An AI Hedge Fund Team

Local UI to run and train LLMs and diffusion models, including Qwen3.8, Kimi K3, MiniMax-H3, Gemma 4, DeepSeek-V4, FLUX and more.

LlamaIndex is the leading document agent and OCR platform

This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. Each technique has a detailed notebook tutorial.

[EMNLP2025] LightRAG: Simple and Fast Retrieval-Augmented Generation

"RAG-Anything: All-in-One RAG Framework"

Accompanying code for "Discovering State-of-the-art Reinforcement Algorithms" Nature publication

The most comprehensive XRL paper list: 277 papers (2016–2026) on interpretable and explainable RL. Surveys, saliency, counterfactuals, policy summarization and more.

An open-source AI agent that brings the power of Gemini directly into your terminal.

An open source flight dynamics & control software library

Open-source implementation of AlphaEvolve

Graph Attention Networks (https://arxiv.org/abs/1710.10903)

A Survey on Explainable Reinforcement Learning: Concepts, Algorithms, Challenges

PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

LLM-PySC2 is NKAI Decision Team and NUDT Decision Team's Python component of the StarCraft II LLM Decision Environment. It exposes Deepmind's PySC2 Learning Environment API as a Python LLM Environm…

A Survey on Large Language Model-Based Game Agents (ACM CSUR)

The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search

CodeScientist: An automated scientific discovery system for code-based experiments

About Code release for "TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis" (ICLR 2023), https://openreview.net/pdf?id=ju_Uqw384Oq

Foundation Models for Time Series

[NeurIPS 2024] Official implementation of the paper "Are Self-Attentions Effective for Time Series Forecasting?"

Official implementation for "iTransformer: Inverted Transformers Are Effective for Time Series Forecasting" (ICLR 2024 Spotlight)

Scalable and user friendly neural 🧠 forecasting algorithms.

PyTorch implementation of TimeVAE, a variational auto-encoder for multivariate time series generation

Code for the paper "Offline Reinforcement Learning as One Big Sequence Modeling Problem"

The implemention of DiffTraj: Generating GPS Trajectory with Diffusion Probabilistic Model