Reverse Dependencies of mknotebooks

The following projects have a declared dependency on mknotebooks:

• arger — Create argparser automatically from functions
• bayesnf — Scalable spatiotemporal prediction with Bayesian neural fields
• bayeux-ml — Stitching together probabilistic models and inference.
• bokbokbok — Custom Losses and Metrics for XGBoost, LightGBM, CatBoost
• check_mkdocs — Simple check/command-line tool that parses, validates and loads configuration, builds the mkdocs project documentation, and serves it via a web server
• continuiti — Learning function operators with neural networks.
• deel-lip — TensorFlow 2 implementation for k-Lipschitz layers
• distilabel — AI Feedback (AIF) framework
• dpm360-lightsaber — Package to handle model training for dpm tasks
• duqtools — Dynamic uncertainty quantification for Tokamak reactor simulations modelling
• eqxvision — Root package info.
• fairsense — This library allow to compute global sensitivity indices in the context of fairness measurements.
• fastaudio — Audio Module for fastai version 2
• file-clerk — A collection of functions for dealing with files and file content.
• flashbax — Flashbax is an experience replay library oriented around JAX. Tailored to integrate seamlessly with JAX's Just-In-Time (JIT) compilation.
• graphiq — GraphiQ is a Python library for the simulation, design, and optimization of quantum photonic circuits.
• helloworld-package-2022 — Say hello!
• imas2xarray — Imas2xarray is a tool reading IMAS data in hdf5 format into xarray.
• jumanji — A diverse suite of scalable reinforcement learning environments in JAX
• kglab — A simple abstraction layer in Python for building knowledge graphs
• lakefs-spec — An fsspec implementation for lakeFS.
• mkdocs-flux — Flux: A minimalistic mkdocs theme
• neuropull — A lightweight tool for pulling connectome networks and metadata.
• oodeel — Simple, compact, and hackable post-hoc deep OOD detection for alreadytrained tensorflow or pytorch image classifiers.
• pdfa-learning — A Python project template.
• pydts — Discrete time survival analysis with competing risks
• pytextrank — Python implementation of TextRank as a spaCy pipeline extension, for graph-based natural language work plus related knowledge graph practices; used for for phrase extraction of text documents.
• pytorch-tabular — A standard framework for using Deep Learning for tabular data
• ruptures — Change point detection for signals in Python.
• skorecard — Tools for building scorecard models in python, with a sklearn-compatible API
• somap — Self-Organizing Maps in python
• SPOEF — Signal PrOcEssing Features for transaction data
• textgraphs — TextGraphs + LLMs + graph ML for entity extraction, linking, ranking, and constructing a lemma graph
• torchradio — A PyTorch differentiable RF simulation environment