skorch 1.3.1

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).

HuggingFace community-driven open-source library of datasets

Fast and Accurate ML in 3 Lines of Code

HuggingFace/NLP is an open library of NLP datasets.

A Python library for probabilistic modeling and inference

Orbit is a package for Bayesian time series modeling and inference.

LLM framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data.

Sequential model-based optimization toolbox.

Argus is a lightweight library for training neural networks in PyTorch.