get colors in your node.js console

Color your terminal using CSS/hex color codes

An mutable object-based log format designed for chaining & objectMode streams.

Generate HEX colors for a given namespace.

Parser and generator for CSS color strings

javascript implementation of Dunning's T-Digest for streaming quantile approximation

JupyterHub: A multi-user server for Jupyter notebooks

This package includes WrapSpawner and ProfilesSpawner, which provide mechanisms for runtime configuration of spawners. The inspiration for their development was to allow users to select from a range of pre-defined batch job profiles, but their operation is completely generic.

Jupyter telemetry library

The SudoSpawner enables JupyterHub to spawn single-user servers without being root, by spawning an intermediate process via sudo, which takes actions on behalf of the user.

This package provides a spawner for Jupyterhub to spawn notebooks using batch resource managers.

An extensible environment for interactive and reproducible computing, based on the Jupyter Notebook and Architecture.

The systemdspawner enables JupyterHub to spawn single-user notebook servers using systemd.

LDAP Authenticator for JupyterHub

This package is an integration module of Optuna, an automatic Hyperparameter optimization software framework. The modules in this package provide users with extended functionalities for Optuna in combination with third-party libraries such as PyTorch, sklearn, and TensorFlow.

PyDMD is a Python package designed for Dynamic Mode Decomposition (DMD), a data-driven method used for analyzing and extracting spatiotemporal coherent structures from time-varying datasets. It provides a comprehensive and user-friendly interface for performing DMD analysis, making it a valuable tool for researchers, engineers, and data scientists working in various fields.

This package provides a neural network library for PyTorch compatible with the scikit-learn API.

ruptures is a Python library for off-line change point detection. This package provides methods for the analysis and segmentation of non-stationary signals. Implemented algorithms include exact and approximate detection for various parametric and non-parametric models. ruptures focuses on ease of use by providing a well-documented and consistent interface. In addition, thanks to its modular structure, different algorithms and models can be connected and extended within this package.

PyTorch extension for handling deeply nested sequences of variable length.

Orbax is a namespace providing common utility libraries for JAX users. Orbax also includes a serialization library for JAX users, enabling the exporting of JAX models to the TensorFlow SavedModel format.

Equinox is a comprehensive JAX library that provides a wide range of tools and features not found in core JAX, including neural networks with PyTorch-like syntax, filtered APIs for transformations, PyTree manipulation routines, and advanced features like runtime errors.

AlphaFold is an AI system developed by DeepMind that predicts a protein’s 3D structure from its amino acid sequence. It regularly achieves accuracy competitive with experiment.

imbalanced-learn is a python package offering a number of re-sampling techniques commonly used in datasets showing strong between-class imbalance.

Flax is a neural network library for JAX that is designed for flexibility.