AI agents running research on single-GPU nanochat training automatically

Official Codebase for "Neural Thickets: Diverse Task Experts Are Dense Around Pretrained Weights"

The most powerful and modular diffusion model GUI, api and backend with a graph/nodes interface.

LimiX: Unleashing Structured-Data Modeling Capability for Generalist Intelligence https://arxiv.org/abs/2509.03505

the baseline for NeurIPS_Auto_Bidding_AIGB_Track

COIN-OR Branch-and-Cut solver

[NAACL 2025] KnowAgent: Knowledge-Augmented Planning for LLM-Based Agents

[ICML 2024] Official repository for "Language Agent Tree Search Unifies Reasoning Acting and Planning in Language Models"

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

Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routing…

A collection of MCP servers.

No fortress, purely open ground. OpenManus is Coming.

FlashMLA: Efficient Multi-head Latent Attention Kernels

Code for "Gradient Surgery for Multi-Task Learning"

💡 All-in-one AI framework for semantic search, LLM orchestration and language model workflows

Self-Supervised Learning for Deep Clustering (TPAMI 2022)

Active semi-supervised clustering algorithms for scikit-learn

State-of-the-Art Text Embeddings

An environment to high-frequency trading agents under reinforcement learning

Simulate binance fee mechanism by RL agents

Python library of bandits and RL agents in different real-world environments

中文LLaMA&Alpaca大语言模型+本地CPU/GPU训练部署 (Chinese LLaMA & Alpaca LLMs)

Code and documentation to train Stanford's Alpaca models, and generate the data.

Code and models for the paper "One Transformer Fits All Distributions in Multi-Modal Diffusion"

PyTorch implementation of PiCO https://arxiv.org/abs/2201.08984

Making large AI models cheaper, faster and more accessible

Making big AI models cheaper, easier, and scalable

A Python implementation of global optimization with gaussian processes.