YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
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Updated
Jun 9, 2024 - Python
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
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.
Largest list of models for Core ML (for iOS 11+)
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.
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.
Use AnimeGANv3 to make your own animation works, including turning photos or videos into anime.
The challenge projects for Inferencing machine learning models on iOS
Real-Time Semantic Segmentation in Mobile device
PyTorch Project Specification.
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
YOLOv5 汉化版,保持官方同步更新
This script converts the ONNX/OpenVINO IR model to Tensorflow's saved_model, tflite, h5, tfjs, tftrt(TensorRT), CoreML, EdgeTPU, ONNX and pb. PyTorch (NCHW) -> ONNX (NCHW) -> OpenVINO (NCHW) -> openvino2tensorflow -> Tensorflow/Keras (NHWC/NCHW) -> TFLite (NHWC/NCHW). And the conversion from .pb to saved_model and from saved_model to .pb and fro…
Generate saved_model, tfjs, tf-trt, EdgeTPU, CoreML, quantized tflite, ONNX, OpenVINO, Myriad Inference Engine blob and .pb from .tflite. Support for building environments with Docker. It is possible to directly access the host PC GUI and the camera to verify the operation. NVIDIA GPU (dGPU) support. Intel iHD GPU (iGPU) support. Supports invers…
A Keras CTC implementation of Baidu's DeepSpeech for model experimentation
Source code for the book Core ML Survival Guide
convert facenet and mtcnn models from tensorflow to tensorflow lite and coreml (使用 TFLite 将 FaceNet 和 MTCNN 移植到移动端)
Convmelspec: Convertible Melspectrograms via 1D Convolutions
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