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A modern, fast, and modular deep learning and machine learning framework for Python built on PyTorch.
A PyTorch-based tool for training custom DeepDream models using GoogleNet and custom image datasets.
An easy-to-use PyTorch library for faster computer vision model development and training.
A set of Directus extensions for training, testing, and using machine learning models directly within Directus.
A Go library for building and training deep neural networks, powered by MXNet.
A VS Code extension to view and compare Weights & Biases training runs directly in the editor with interactive charts and AI context export.
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