Popular GitHub Repositories for Models

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

A collection of pre-trained, state-of-the-art models in the ONNX format

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

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

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

An app to interact privately with your documents using the power of GPT, 100% privately, no data leaks

The official Python client for the Huggingface Hub.

Medical NLP Competition, dataset, large models, paper

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

The collaboration workspace for Machine Learning

A collection of reference Jupyter notebooks and demo AI/ML applications for enterprise use cases: marketing, pricing, supply chain, smart manufacturing, and more.

Go manage your Ollama models

Central place for the engineering/scaling WG: documentation, SLURM scripts and logs, compute environment and data.

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

csghub-server is the backend server for CSGHub which helps user to manage datasets, modes, and also run Model Inference, Finetune and Application Spaces.

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

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.

PyTorch + HuggingFace code for RetoMaton: "Neuro-Symbolic Language Modeling with Automaton-augmented Retrieval" (ICML 2022), including an implementation of kNN-LM and kNN-MT

MLOps Platform