Microsoft Distributed Machine Learning Toolkit
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.
Simple and Distributed Machine Learning
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.
OpenMMLab Foundational Library for Training Deep Learning Models
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
A library of extension and helper modules for Python's data analysis and machine learning libraries.
3 captures since 2026-05-22
