The Web framework for perfectionists with deadlines.

Officially maintained, supported by PaddlePaddle, including CV, NLP, Speech, Rec, TS, big models and so on.

Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!

Segmentation models with pretrained backbones. PyTorch.

Pre-trained Deep Learning models and demos (high quality and extremely fast)

Models, data loaders and abstractions for language processing, powered by PyTorch

A repository for storing models that have been inter-converted between various frameworks. Supported frameworks are TensorFlow, PyTorch, ONNX, OpenVINO, TFJS, TFTRT, TensorFlowLite (Float32/16/INT8), EdgeTPU, CoreML.

Largest list of models for Core ML (for iOS 11+)

The official Python client for the Huggingface Hub.

💫 Models for the spaCy Natural Language Processing (NLP) library

TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data

TensorFlow models accelerated with NVIDIA TensorRT

Lineage metadata API, artifacts streams, sandbox, API, and spaces for Polyaxon

A toolbox of vision models and algorithms based on MindSpore

The easiest way to use Machine Learning. Mix and match underlying ML libraries and data set sources. Generate new datasets or modify existing ones with ease.

An Open-sourced Knowledgable Large Language Model Framework.

🔠 Code and specifications to support harmonized data models

🎨 color field for django models with a nice color-picker in the admin.

GraphGallery is a gallery for benchmarking Graph Neural Networks, From InplusLab.

Self-Created Tools to convert ONNX files (NCHW) to TensorFlow/TFLite/Keras format (NHWC). The purpose of this tool is to solve the massive Transpose extrapolation problem in onnx-tensorflow (onnx-tf). I don't need a Star, but give me a pull request.