A collection of DESIGN.md files analysis by popular brand design systems. Drop one into your project and let coding agents generate a matching UI.

A Claude Code research loop that keeps reading, practice, ideation, experiments, and writing connected through shared plain-text state.

Comprehensive open-source library of AI research and engineering skills for any AI model. Package the skills and your claude code/codex/gemini agent will be an AI research agent with full horsepowe…

TradingAgents: Multi-Agents LLM Financial Trading Framework

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

Use Garry Tan's exact Claude Code setup: 23 opinionated tools that serve as CEO, Designer, Eng Manager, Release Manager, Doc Engineer, and QA

AI-powered job search system built on Claude Code. 14 skill modes, Go dashboard, PDF generation, batch processing.

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

AI agents running research on single-GPU nanochat training automatically

12-week intensive to become a 100x AI engineer — LLMOps, RAG, agents, MCP, and MLOps built around an EV fleet AI platform

🌐 Make websites accessible for AI agents. Automate tasks online with ease.

implementation of hmm on gps data collected by microsoft

Kaggle competition notebooks — time series forecasting (Darts), flood damage regression, and abalone ensemble classification

Data Science Hacks consists of tips, tricks to help you become a better data scientist. Data science hacks are for all - beginner to advanced. Data science hacks consist of python, jupyter notebook…

Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of Code. Created by Ram Seshadri. Collaborators welcome.

Deep Learning Specialization by Andrew Ng on Coursera.

Deep Learning Specialization by Andrew Ng, deeplearning.ai.

Repo containing code for multi-agent deep reinforcement learning (MADRL).

Multi-agent reinforcement learning environment

A custom OpenAI gym environment for simulating stock trades on historical price data.

A repository for the source code, notebooks, data, files, and other assets used in the data science and machine learning articles on LearnDataSci

Hello, I pushed some python environments for Multi Agent Reinforcement Learning.

Using multi-agent Deep Q Learning with LSTM cells (DRQN) to train multiple users in cognitive radio to learn to share scarce resource (channels) equally without communication

Collection of Deep Reinforcement Learning Algorithms implemented in PyTorch.

Deep reinforcement learning model implementation in Tensorflow + OpenAI gym

Tensorflow implementation of Human-Level Control through Deep Reinforcement Learning