Hierarchical Reasoning Model Official Release
- brain-inspired-ai
- deep-learning
- large-language-models
- reasoning
47,133 repositories indexed
73–96 of 224 · Most stars
Hierarchical Reasoning Model Official Release
The ultimate training toolkit for finetuning diffusion models
An open-source, tool-augmented conversational language model from Fudan University
A command-line productivity tool powered by AI large language models like GPT-5, will help you accomplish your tasks faster and more efficiently.
The official GitHub page for the survey paper "A Survey of Large Language Models".
Low-code framework for building custom LLMs, neural networks, and other AI models
Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.
Statsmodels: statistical modeling and econometrics in Python
The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
Pocket Flow: 100-line LLM framework. Let Agents build Agents!
Official repository for LTX-Video
🌸 Run LLMs at home, BitTorrent-style. Fine-tuning and inference up to 10x faster than offloading
Jev-like family of decision models built on top of Qwen3.5/3.8 you can train and run on your own
Run 35B MoE models in ~2.5 GB of RAM. Weights stream from SSD; a trained router predicts loads a step ahead. Mac, iPhone, Android, Windows supported
FinRobot: An Open-Source AI Agent Platform for Financial Applications using Large Language Models
A collection of libraries to optimise AI model performances
Largest list of models for Core ML (for iOS 11+)
Open-source offline translation library written in Python
MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.
Superduper: End-to-end framework for building custom AI applications and agents.
Lightning ⚡️ fast forecasting with statistical and econometric models.
Official repository for the Boltz biomolecular interaction models
Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and models from research to production.
Mesa is an open-source Python library for agent-based modeling, ideal for simulating complex systems and exploring emergent behaviors.