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Deep Learning Model Convertors

The convertor/conversion of deep learning models for different deep learning frameworks/softwares.

3.2k stars481 forks19 entriesLast push Jun 26, 2023 (3 years ago)License none

This page lists names, links and short descriptions. The original list on GitHub is the source and belongs to its authors.

General

mxnet

MMdnn MXNet2Caffe Mxnet2Caffe

caffe

mxnet/tools/caffe_converter ResNet_caffe2mxnet MMdnn

In 10 listsDetails

CNTK

MMdnn

theano

None

In 5 listsDetails

neon

None

pytorch

MMdnn

In 9 listsDetails

torch

None

In 5 listsDetails

keras

MMdnn

darknet

None

tensorflow

MMdnn

In 12 listsDetails

chainer

None

coreML/iOS

MMdnn

In 4 lists

paddle

None

ONNX

None

In 6 listsDetails

Open Neural Network Exchange

ONNX

is an effort to unify converters for neural networks in order to bring some sanity to the NN world. Released by Facebook and Microsoft. More info here.

In 3 lists

MMdnn

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 CaffeEmit, CNTK, CoreML, Keras, MXNet, ONNX, PyTorch and TensorFlow.

In 2 lists

Caffe2 convertor >CaffeToCaffe2

caffe2/Getting_Caffe1_Models_for_Translation.ipynb at master · caffe2/caffe2

In 2 lists

Keras convertor >MarcBS/keras

Keras' fork with several new functionalities. Caffe2Keras converter, multimodal layers, etc.

GitHub page:

See category
94

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