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 Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.
File Explorer
Download Latest Version (.zip)- client.py
- cntk2keras.jpg
- darkent_keras_yolov3_converted.jpg
- InstallDockerCE.md
- keras2cntk.md
- Poster-MMdnn.jpg
- supported.jpg
- tensorboard.png
- tf2pytorch.md
- vismmdnn.png
- __init__.py
- convert.py
- convertToIR.py
- dump_code.py
- extractModel.py
- IRToCode.py
- IRToModel.py
- __init__.py
- caffe_emitter.py
- caffe_pb2.py
- common_graph.py
- errors.py
- graph.py
- mapper.py
- network.py
- README.md
- resolver.py
- saver.py
- shape.py
- transformer.py
- utils.py
- writer.py
- __init__.py
- cntk_emitter.py
- cntk_graph.py
- cntk_parser.py
- README.md
- saver.py
- __init__.py
- emitter.py
- graph.py
- parser.py
- __init__.py
- graph.proto
- graph_pb2.py
- IR_graph.py
- ops.pbtxt
- __init__.py
- utils.py
- __init__.py
- coreml_emitter.py
- coreml_graph.py
- coreml_parser.py
- coreml_utils.py
- README.md
- __init__.py
- cfg.py
- darknet_graph.py
- darknet_parser.py
- darknet_utils.py
- prototxt.py
- README.md
- __init__.py
- extract_model.py
- extractor.py
- imagenet_test.py
- __init__.py
- extract_model.py
- extractor.py
- imagenet_test.py
- __init__.py
- extractor.py
- imagenet_test.py
- test_tfcoreml.py
- __init__.py
- darknet.py
- extractor.py
- libdarknet.a
- libdarknet.so
- dog.jpg
- imagenet_1000.txt
- one_imdb.npy
- seagull.jpg
- __init__.py
- extract_model.py
- extractor.py
- imagenet_test.py
- utils.py
- __init__.py
- extract_model.py
- extractor.py
- imagenet_test.py
- __init__.py
- imagenet_test.py
- __init__.py
- alexnet.py
- resnet.py
- vgg.py
- __init__.py
- extract_model.py
- extractor.py
- imagenet_test.py
- __init__.py
- extract_model.py
- extractor.py
- imagenet_test.py
- __init__.py
- conv_blocks.py
- mobilenet.py
- mobilenet_v2.py
- __init__.py
- inception_resnet_v1.py
- inception_resnet_v2.py
- mobilenet_v1.py
- nasnet.py
- nasnet_utils.py
- test_rnn.py
- __init__.py
- extract_model.py
- extractor.py
- imagenet_test.py
- vis_meta.py
- __init__.py
- extractor.py
- imagenet_test.py
- __init__.py
- extra_layers.py
- keras2_emitter.py
- keras2_graph.py
- keras2_parser.py
- README.md
- saver.py
- __init__.py
- mxnet_emitter.py
- mxnet_graph.py
- mxnet_parser.py
- README.md
- saver.py
- __init__.py
- DEVELOPMENT.md
- elephant.jpg
- onnx_emitter.py
- onnx_graph.py
- onnx_parser.py
- README.md
- saver.py
- shape_inference.py
- __init__.py
- paddle_graph.py
- paddle_parser.py
- README.md
- __init__.py
- pytorch_emitter.py
- pytorch_graph.py
- pytorch_parser.py
- README.md
- saver.py
- torch_to_np.py
- __init__.py
- folder.py
- graph_matcher.py
- rewriter.py
- rnn_utils.py
- utils.py
- __init__.py
- gru_rewriter.py
- lstm_rewriter.py
- __init__.py
- README.md
- saver.py
- tensorflow_emitter.py
- tensorflow_frozenparser.py
- tensorflow_graph.py
- tensorflow_parser.py
- __init__.py
- torch_graph.py
- torch_parser.py
- __init__.py
- GenerateMdByDataset.py
- GenerateMdFromJson.py
- modelmap2.json
- README.md
- favicon.ico
- index.html
- manifest.json
- index.tsx
- App.css
- App.tsx
- Graph.css
- Graph.tsx
- MiniMap.tsx
- SideBar.css
- SideBar.tsx
- index.tsx
- Graph.tsx
- SideBar.tsx
- index.tsx
- index.tsx
- index.tsx
- index.css
- index.tsx
- logo.svg
- registerServiceWorker.ts
- package.json
- tsconfig.json
- tsconfig.test.json
- tslint.json
- draw.js
- style.css
- app.js
- draw.js
- index.html
- package.json
- README.md
- style.css
- __init__.py
- linux-py3.txt
- select_requirements.py
- conversion_imagenet.py
- gen_test.py
- test_caffe.py
- test_caffe_2.py
- test_caffe_3.py
- test_caffe_4.py
- test_cntk.py
- test_cntk_2.py
- test_coreml.py
- test_coreml_2.py
- test_darknet.py
- test_keras.py
- test_keras_2.py
- test_keras_3.py
- test_keras_4.py
- test_keras_5.py
- test_mxnet.py
- test_mxnet_2.py
- test_mxnet_3.py
- test_mxnet_4.py
- test_mxnet_5.py
- test_paddle.py
- test_pytorch.py
- test_pytorch_2.py
- test_pytorch_3.py
- test_pytorch_4.py
- test_pytorch_5.py
- test_tensorflow.py
- test_tensorflow_2.py
- test_tensorflow_3.py
- test_tensorflow_4.py
- test_tensorflow_5.py
- test_tensorflow_6.py
- test_tensorflow_7.py
- test_tensorflow_frozen.py
- utils.py
- .gitattributes
- .gitignore
- .travis.yml
- _config.yml
- ISSUE_TEMPLATE.md
- LICENSE
- README.md
- SECURITY.md
- setup.cfg
- setup.py
- test.sh
# Installation Guide
1. Get the code
git clone https://github.com/microsoft/MMdnn
Downloads the entire project code from GitHub to your computer.
cd MMdnn
Moves into the project folder you just downloaded.
2. Official Install Script
Easy RecommendedPrerequisites
- Python 3 Python is required to use pip.
pip install mmdnn
Installs the package published on PyPI directly โ no need to clone the source.
pip install -U git+https://github.com/Microsoft/MMdnn.git@master
Installs the package published on PyPI directly โ no need to clone the source.
After installing, open a new terminal and run the program's version command (e.g. --version) to confirm it worked.
Pulled directly from this repo's README.
3. Node.js
EasyPrerequisites
โ ๏ธ This is a large repository, so this method may point to an internal sub-package rather than the actual core product. Check the full README as well.
cd mmdnn/vis_edit
This project's files live in a subfolder, so move into it first.
npm install
Downloads and installs the libraries listed in package.json.
npm start
Starts the development/run server.
After running the command, open the address shown in the terminal (usually something like http://localhost:3000) in your browser.
4. Python
EasyPrerequisites
pip install mmdnn
Installs the package published on PyPI directly โ no need to clone the source.
pip install -U git+https://github.com/Microsoft/MMdnn.git@master
Installs the package published on PyPI directly โ no need to clone the source.
If it runs without errors and prints output in the terminal, it worked.
Pulled directly from this repo's README.
// repository documentation
Was this content helpful?
(0 ratings)