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- Repos indexed
- 17,373
- Awesome lists tracked
- 125
- Current results
- 4
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lutzroeder/netron
Visualizer for neural network, deep learning and machine learning models
Stack
GitHub topics
- Updated
- 2026-07-16
- Lists
- 3 list mentions
- First commit
- 2010-12-26
- History
- 27 history points
- License
- MIT
- Issues
- 19 open
33,236
stars
- Forks
- 3,158
- Commits
- 10,111 commits
- Star growth, last 7 days
- +24 +0.1%
- Commit velocity, last 7 days
- +8 +0.1%
catboost/catboost
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.
GitHub topics
- Updated
- 2026-07-15
- Lists
- 4 list mentions
- First commit
- 2017-07-18
- History
- 10 history points
- License
- Apache-2.0
- Issues
- 710 open
9,025
stars
- Forks
- 1,312
- Commits
- 50,592 commits
- Star growth, last 7 days
- 0 0.0%
- Commit velocity, last 7 days
- 0 0.0%
microsoft/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.
- Updated
- 2025-08-07
- Lists
- 1 list mention
- First commit
- 2017-08-16
- History
- 6 history points
- License
- MIT
- Issues
- 337 open
5,805
stars
- Forks
- 958
- Commits
- 1,085 commits
- Star growth, last 7 days
- No 7-day history
- Commit velocity, last 7 days
- No 7-day history
PINTO0309/PINTO_model_zoo
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.
GitHub topics
- Updated
- 2026-07-15
- Lists
- 1 list mention
- First commit
- 2019-12-11
- History
- 5 history points
- License
- MIT
- Issues
- 5 open
4,466
stars
- Forks
- 661
- Commits
- 3,803 commits
- Star growth, last 7 days
- 0 0.0%
- Commit velocity, last 7 days
- 0 0.0%
