YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
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Updated
Aug 15, 2024 - Python
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
Core ML tools contain supporting tools for Core ML model conversion, editing, and validation.
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.
A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.
CoreML compatible GRU neural network for dynamic prediction
diffusers for CoreML
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.
Export Hugging Face models to Core ML and TensorFlow Lite
Use AnimeGANv3 to make your own animation works, including turning photos or videos into anime.
CoreML conversion script for Bria-RMBG-1.4
MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.
Convmelspec: Convertible Melspectrograms via 1D Convolutions
A tiny and very high level transfer learning library for image classification 📚
CLI for converting UForm models to CoreML.
YOLOv5 汉化版,保持官方同步更新
Run transformers (incl. LLMs) on the Apple Neural Engine.
a beer classifier demonstrates how you can get your ML models into production
ONNX-compatible DocShadow: High-Resolution Document Shadow Removal. Supports TensorRT 🚀
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