microsoft/MMdnn

Health v2 · maintenance only

Adoption not part of the score

5805 stars · 955 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

MMdnn is a Microsoft toolkit for converting, visualizing, and diagnosing deep learning models across frameworks such as TensorFlow, PyTorch, Keras, Caffe, MXNet, CNTK, ONNX, and CoreML. It also generates code snippets for retraining and provides a model collection and network architecture visualizer.

Use cases

• convert a pytorch model to tensorflow
• convert keras model to onnx
• visualize deep learning model architecture
• train a model in one framework and deploy in another
• convert caffe model to pytorch
• prepare a model for tensorrt inference
• find popular pretrained deep learning models

When to choose

• you need to move a trained model between deep learning frameworks
• you want a visual graph of a model's network architecture
• you work with legacy frameworks like Caffe, CNTK, or MXNet
• you need code snippets to retrain a converted model

When to avoid

• you only need modern framework-to-ONNX conversion, which native exporters handle better
• you need actively maintained tooling with support for the latest framework versions
• you need quantization or model compression features

Facets

library · maturity maintenance

machine-learning deep-learning developer-tools data-visualization deep-learning machine-learning developer-tools python cross-platform model-conversion model-converter onnx tensorflow pytorch keras caffe mxnet coreml cntk darknet model-visualization interoperability

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