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Curated list of the best truly open-source AI projects, models, tools, and infrastructure. Daily updated.
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An Open Source Machine Learning Framework for Everyone
Tensors and Dynamic neural networks in Python with strong GPU acceleration
💫 Industrial-strength Natural Language Processing (NLP) in Python
Qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice (『飞桨』核心框架,深度学习&机器学习高性能单机、分布式训练和跨平台部署)
ncnn is a high-performance neural network inference framework optimized for the mobile platform
Open standard for machine learning interoperability
Burn is a next generation tensor library and Deep Learning Framework that doesn't compromise on flexibility, efficiency and portability.
Low-code framework for building custom LLMs, neural networks, and other AI models
🐍 Geometric Computer Vision Library for Spatial AI
A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.
Supercharge Your Model Training
An Engine-Agnostic Deep Learning Framework in Java
On-device AI across mobile, embedded and edge for PyTorch
High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.
Distributed LLM inference. Connect home devices into a powerful cluster to accelerate LLM inference. More devices means faster inference.
A Data Streaming Library for Efficient Neural Network Training