torch-summary 1.4.5

Experiment logger and visualizer

Model summary in PyTorch similar to model.summary() in Keras

Open3D: A Modern Library for 3D Data Processing.

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).

Live training loss plot in Jupyter Notebook for Keras, PyTorch and others.

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.

Probabilistic time series modeling in Python.

A new flavour of deep learning operations

Progress bar for deep learning training iterations