YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
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Updated
May 28, 2024 - Python
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
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.
CLI to demonstrate running a large language model (LLM) on Apple Neural Engine.
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.
Visualizer for neural network, deep learning and machine learning models
CoreML custom layer (GPU-accelerated) and converter for torchvision.ops.deform_conv2d
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.
See the device (CPU/GPU/ANE) and estimated cost for every layer in your CoreML model.
Function unified C/C++ API for running Python functions on desktop, mobile, web, and in the cloud. Register at https://fxn.ai
📚 Curated list of articles, tutorials and repos that may help you dig a little bit deeper into iOS [and Apple Platforms].
iOS App that implements state-of-the-art machine learning and computer vision integration. The application is developed based on the Swift language and CoreML, Vision frameworks.
Ultralytics YOLO iOS App source code for running YOLOv8 in your own iOS apps 🌟
TNN: developed by Tencent Youtu Lab and Guangying Lab, a uniform deep learning inference framework for mobile、desktop and server. TNN is distinguished by several outstanding features, including its cross-platform capability, high performance, model compression and code pruning. Based on ncnn and Rapidnet, TNN further strengthens the support and …
Run Stable Diffusion on Mac natively
Everything we actually know about the Apple Neural Engine (ANE)
Project for the ACS course based on research of Apple Neural Engine
Core ML tools contain supporting tools for Core ML model conversion, editing, and validation.
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