MMdnn
Model converter
A toolset to convert and manage deep learning models across multiple frameworks.
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.
6k stars
181 watching
966 forks
Language: Python
last commit: 9 months ago
Linked from 4 awesome lists
caffecntkcoremldarknetkerasmodel-convertermxnetonnxpytorchtensorflowvisualization
Related projects:
Repository | Description | Stars |
---|---|---|
| A toolset for deploying deep learning models on various devices and platforms | 2,797 |
| A cross-platform machine learning framework for .NET that enables developers to build, train, and deploy models without prior expertise in ML. | 9,071 |
| A tool for visualizing and analyzing neural network models | 28,684 |
| A lightweight deep learning framework developed by Alibaba for efficient inference and training of neural networks on-device. | 8,824 |
| Enables interoperability between different machine learning frameworks by providing an open standard format for AI models | 18,098 |
| A unified deep learning toolkit that describes neural networks as a series of computational steps via a directed graph. | 17,534 |
| A suite of tools for building and training deep learning models using the JVM. | 13,718 |
| A Matlab toolbox providing implementations of various deep learning models | 3,808 |
| A collection of samples and examples demonstrating the usage of ML.NET for machine learning tasks in .NET applications. | 4,508 |
| A machine learning API and server written in C++ that supports multiple deep learning libraries and provides a flexible interface for building and deploying machine learning models. | 2,520 |
| Provides a flexible and configurable framework for training deep learning models with PyTorch. | 1,196 |
| A MATLAB toolbox implementing 3D Convolutional Neural Networks for volumetric inputs with various features and pre-configured examples. | 53 |
| A framework for hosting and training machine learning models on a blockchain, enabling secure sharing and prediction without requiring users to pay for data or model updates. | 559 |
| A JavaScript framework for building interactive and intuitive 3D visualizations of neural networks in browsers. | 5,077 |
| An implementation of Community Preserving Network Embedding using deep learning and matrix factorization techniques | 121 |