-
The University of Tokyo
- http://jeonghunbaek.net/
Stars
An Open Source Machine Learning Framework for Everyone
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Label Studio is a multi-type data labeling and annotation tool with standardized output format
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
🦜🔗 The platform for reliable agents.
SGLang is a fast serving framework for large language models and vision language models.
Run, manage, and scale AI workloads on any AI infrastructure. Use one system to access & manage all AI compute (Kubernetes, 17+ clouds, or on-prem).
Convert documents to structured data effortlessly. Unstructured is open-source ETL solution for transforming complex documents into clean, structured formats for language models. Visit our website …
📚 Collaborative cheatsheets for console commands
🔥 The Web Data API for AI - Turn entire websites into LLM-ready markdown or structured data
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
Get up and running with OpenAI gpt-oss, DeepSeek-R1, Gemma 3 and other models.
A high-throughput and memory-efficient inference and serving engine for LLMs
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
The definitive Web UI for local AI, with powerful features and easy setup.
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
Train transformer language models with reinforcement learning.
PyMuPDF is a high performance Python library for data extraction, analysis, conversion & manipulation of PDF (and other) documents.
A collection of tutorials on state-of-the-art computer vision models and techniques. Explore everything from foundational architectures like ResNet to cutting-edge models like YOLO11, RT-DETR, SAM …
Build resilient language agents as graphs.
The missing star history graph of GitHub repos - https://star-history.com
Font files available from Google Fonts, and a public issue tracker for all things Google Fonts
Cross-platform, customizable ML solutions for live and streaming media.
A modular graph-based Retrieval-Augmented Generation (RAG) system
Annotate better with CVAT, the industry-leading data engine for machine learning. Used and trusted by teams at any scale, for data of any scale.
Code for the paper "Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer"