🐫 CAMEL: The first and the best multi-agent framework. Finding the Scaling Law of Agents. https://www.camel-ai.org

[NeurIPS 2025 Oral] Representation Entanglement for Generation: Training Diffusion Transformers Is Much Easier Than You Think

Implement a reasoning LLM in PyTorch from scratch, step by step

[NeurIPS'25] ContextAgent: Context-Aware Proactive LLM Agents with Open-World Sensory Perceptions

Interactive web visualisation for handwritting detection using a simple neural network

Github Pages template based upon HTML and Markdown for personal, portfolio-based websites.

🚀 Real LLaMA inference on Android NPU | TinyLLaMA + Qualcomm QNN | Sub-250ms inference | Open Source

Out of the frying pan and into the fire: Converting Multiprocessed code to Free-Threading

Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.

[Nature Machine Intelligence 2025] This repository is the official implementation of the paper "A semantic-enhanced multi-modal remote sensing foundation model for Earth observation".

Neural Network for Regression and Classification, covering simple feed-forward and CNN architectures

gpt-oss-120b and gpt-oss-20b are two open-weight language models by OpenAI

DNB-AI-Project at SemEval-2025 Task 5: An LLM-Ensemble Approach for Automated Subject Indexing

Official PyTorch implementation of "VITON-HD: High-Resolution Virtual Try-On via Misalignment-Aware Normalization" (CVPR 2021)

Notebooks, code samples, sample apps, and other resources that demonstrate how to use, develop and manage machine learning and generative AI workflows using Google Cloud Vertex AI.

An open protocol enabling communication and interoperability between opaque agentic applications.

Wan: Open and Advanced Large-Scale Video Generative Models

A powerful TypeScript framework for building non-deterministic AI agents with advanced cognitive capabilities like reasoning, decision-making, and inter-agent collaboration within the OpenServ plat…

Daydreams is a set of tools for building agents for commerce

100+ Fine-tuning Tutorial Notebooks on Google Colab, Kaggle and more.

Fine-tuning & Reinforcement Learning for LLMs. 🦥 Train OpenAI gpt-oss, DeepSeek-R1, Qwen3, Gemma 3, TTS 2x faster with 70% less VRAM.

The official Python SDK for Model Context Protocol servers and clients

The unified stack for multi-agent systems.

A simple cryptokitties-like runtime built with Substrate

A guided tutorial for building an NFT marketplace with the Polkadot SDK

A collection of exercices to teach yourself Substrate

📝 An intelligent text editor with interactions inspired by drawing software

Python client API for OpenEO

Document JAM-Chain on Polkadot