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Awesome List
Probably the best curated list of data science software in Python.
GitHub stars and default-branch commits for krzjoa/awesome-python-data-science.
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Visualizer for neural network, deep learning and machine learning models
Open standard for machine learning interoperability
Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
AutoML library for deep learning
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.
Deep Reinforcement Learning for Keras.
Graph Neural Networks with Keras and Tensorflow 2.
Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization
Hyperparameter Experiments with TensorFlow and Keras
Keras community contributions
Distributed Deep learning with Keras & Spark
MLBox is a powerful Automated Machine Learning python library.
Pretrained model hub for Keras 3.
A collection of state-of-the-art algorithms for the training, serving and interpretation of Decision Forest models in Keras.
QKeras: a quantization deep learning library for Tensorflow Keras