auto_ml 2.9.10

AutoML for Image, Text, and Tabular Data

AutoML for Image, Text, and Tabular Data

Experiment logger and visualizer

A Hyperparameter Tuning Library for Keras

Flower: A Friendly Federated Learning Framework

Distributed Deep learning with Apache Spark with Keras.

Automatically Visualize any dataset, any size with a single line of code

Open Neural Network Exchange (ONNX) is an open ecosystem that empowers AI developers to choose the right tools as their project evolves. ONNX provides an open source format for AI models, both deep learning and traditional ML. It defines an extensible computation graph model, as well as definitions of built-in operators and standard data types. Currently we focus on the capabilities needed for inferencing (scoring).

Horovod is a powerful distributed training framework for Python that allows you to train deep learning models across multiple GPUs and servers quickly and efficiently. It falls under the category of distributed computing libraries. Built on top of TensorFlow, PyTorch, and other popular deep learning frameworks, Horovod simplifies the process of scaling up your model training by handling the complexities of distributed training under the hood.