Visualizer for neural network, deep learning and machine learning models
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Updated
Jun 1, 2024 - JavaScript
Visualizer for neural network, deep learning and machine learning models
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.
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.
Function unified C/C++ API for running Python functions on desktop, mobile, web, and in the cloud. Register at https://fxn.ai
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.
Run Stable Diffusion using Core ML on iOS within your Expo & React Native App
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
A Pokedex for VisionPro app using MVVM-C with UIHostingController and VisionKit to identify the pokemons
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.
Ultralytics YOLO iOS App source code for running YOLOv8 in your own iOS apps 🌟
Samples and Tools for Windows ML.
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.
📚 Curated list of articles, tutorials and repos that may help you dig a little bit deeper into iOS [and Apple Platforms].
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 …
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