Making large AI models cheaper, faster and more accessible
updated at May 5, 2024, 2:14 a.m.
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
updated at May 5, 2024, 2:07 a.m.
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
updated at May 5, 2024, 1:41 a.m.
PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNet-V3/V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more
updated at May 5, 2024, 12:31 a.m.
Graph Neural Network Library for PyTorch
updated at May 5, 2024, 12:24 a.m.
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
updated at May 5, 2024, 12:01 a.m.
LLM orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.
updated at May 4, 2024, 11:46 p.m.
Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
updated at May 4, 2024, 11:40 p.m.
Intel(R) Extension for Scikit-learn is a seamless way to speed up your Scikit-learn application
updated at May 4, 2024, 11:25 p.m.
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
updated at May 4, 2024, 10:59 p.m.