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Stars
Turn any AI agent into an AI Scientist. The #1 Agent Skills library for science, used by 170,000+ scientists worldwide. 158 ready-to-use skills plus 100+ scientific databases covering biology, chem…
100+ open-source clones of popular sites like Airbnb, Amazon, Instagram, Netflix, Tiktok, Spotify, Whatsapp, Youtube etc. See source code, demo links, tech stack, github stars.
Anthropic's Interactive Prompt Engineering Tutorial
Legacy-Mess Detector – assess the “legacy-mess level” of your code and output a beautiful report
A pytorch implementation of MADDPG (multi-agent deep deterministic policy gradient)
Interactive roadmaps, guides and other educational content to help developers grow in their careers.
Lightweight version of MAPPO to help you quickly migrate to your local environment.
Build ChatGPT over your data, all with natural language
RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs
[EMNLP2025] LightRAG: Simple and Fast Retrieval-Augmented Generation
An AI-powered research assistant that performs iterative, deep research on any topic by combining search engines, web scraping, and large language models. The goal of this repo is to provide the si…
This is the official implementation of Multi-Agent PPO (MAPPO).
Fast and memory-efficient exact attention
Paper list of multi-agent reinforcement learning (MARL)
SustainDC is a set of Python environments for Data Center simulation and control using Heterogeneous Multi Agent Reinforcement Learning. Includes customizable environments for workload scheduling, …
Datascience-Interview-Questions for Korean
[ICLR 2022] Accelerated Policy Learning with Parallel Differentiable Simulation
llama3 implementation one matrix multiplication at a time
Tensorflow implementation of Deepminds dqn with double dueling networks
A minimal GPU design in Verilog to learn how GPUs work from the ground up
The original sources of MS-DOS 1.25, 2.0, and 4.0 for reference purposes
Code / solutions for Mathematics for Machine Learning (MML Book)
A curated list of Machine learning videos, links, projects and datasets to help you conquer the ML landscape in 6 months
Curriculum and roadmap from 0 to Mastery for MLOps. Adding value to your machine learning model by deploying it for people to use it to solve real life problems
A roadmap for getting started with Machine Learning
Bearing fault diagnosis model based on MCNN-LSTM