There are 42 repositories under models topic.
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.
TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data
The official Python client for the Hugging Face Hub.
An app to interact privately with your documents using the power of GPT, 100% privately, no data leaks
Medical NLP Competition, dataset, large models, paper
Eloquent model-caching made easy.
The purpose of this project is to share knowledge on how awesome Streamlit is and can be
YSM models I collected from various sources, free to use. Please join YSM discord server if have any question:
💫 Models for the spaCy Natural Language Processing (NLP) library
No-code in the front, Python in the back. An open-source framework for creating data apps.
Self-validating, secure and smart models for Laravel's Eloquent ORM
A collection of reference Jupyter notebooks and demo AI/ML applications for enterprise use cases: marketing, pricing, supply chain, smart manufacturing, and more.
A collection of computer vision pre-trained models.
csghub-server is the backend server for CSGHub which helps user to manage datasets, modes, and also run Model Inference, Finetune and Application Spaces.
An open source DevOps tool from the CNCF for packaging and versioning AI/ML models, datasets, code, and configuration into an OCI Artifact.
:muscle: Models' quality and performance metrics (R2, ICC, LOO, AIC, BF, ...)
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