The Web framework for perfectionists with deadlines.

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

Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.

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

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

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

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.

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

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

The official Python client for the Huggingface Hub.

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

An Open-sourced Knowledgable Large Language Model Framework.

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.

TensorFlow models accelerated with NVIDIA TensorRT

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

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

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

jsonmodels is library to make it easier for you to deal with structures that are converted to, or read from JSON.

Deep learning models for change detection of remote sensing images

A set of simple tools for splitting, merging, OP deletion, size compression, rewriting attributes and constants, OP generation, change opset, change to the specified input order, addition of OP, RGB to BGR conversion, change batch size, batch rename of OP, and JSON convertion for ONNX models.