Reverse Dependencies of sphinx-gallery

The following projects have a declared dependency on sphinx-gallery:

• pyquickhelper — Various functionalities: folder synchronization, simple logging function, helpers to generate documentation with sphinx, sphinx extension, to run a command line, to run a notebook...
• pyrfu — Python Space Physics (RymdFysik) Utilities
• pyriemann — Machine learning for multivariate data with Riemannian geometry
• pyriemann-qiskit — Qiskit wrapper for pyRiemann
• pyrolite — Tools for geochemical data analysis.
• pyrolite-meltsutil — pyrolite extension for working with alphaMELTS and its outputs.
• pysap-fmri — Python Sparse data Analysis Package external fMRI plugin.
• pysarpro — SAR processing in Python
• pyscores2 — Python API to ship strip theory code Scores2
• pysecs — Spherical Elementary Current System (SECS) Calculations.
• pySPFM — A python package for Paradigm Free Mapping (3dPFM and 3dMEPFM).
• pyspline — P-splines smoothing
• python-awips — A framework for requesting AWIPS meteorological datasets from an EDEX server
• pyts — A python package for time series classification
• PyUoI — The Union of Intersections framework in Python.
• pyxem — multi-dimensional diffraction microscopy
• pyxu — Modular and scalable computational imaging in Python with support for GPU/out-of-core computing.
• QM-How-to-Opensource-AMA — A Quantmetry tutorial on how to publish an opensource python package.
• QM-How-to-Opensource-by-VTA — A Quantmetry tutorial on how to publish an opensource python package.
• QM-How-to-Opensource-CHP — A Quantmetry tutorial on how to publish an opensource python package.
• QM-How-to-Opensource-Louis — A Quantmetry tutorial on how to publish an opensource python package.
• qolmat — Tools to impute
• qtgallery — sphinx-gallery scraper for Qt examples and tutorials
• radar-api — Python software to retrieve weather radar data from cloud buckets
• radarx — Xarray based radar toolkit
• radiospectra — Provide support for some type of radio spectra in solar physics.
• radius-clustering — A Clustering under radius constraints algorithm using minimum dominating sets
• radshap — Shapley values for interpreting radiomic models
• ragoon — RAGoon : High level library for batched embeddings generation, blazingly-fast web-based RAG and quantized indexes processing ⚡
• raimitigations — Python library for implementing and exploring mitigations for Responsible AI.
• random-subgroups — ('Machine learning with Subgroup Discovery',)
• rank-similarity — Rank Similarity is a set of non-linear classification and transform tools for large datasets.
• rdata — Read R datasets from Python.
• rdtools — Functions for reproducible timeseries analysis of photovoltaic systems.
• rendercanvas — One canvas API, multiple backends
• resmda — ES-MDA with a simple 2D reservoir modeller
• restoreio — Reconstruct incomplete oceanographic dataset
• rijksplotlib — A datavizualization compliance library for RWS Datalab
• ripplemapper — Tools for analysing the water air interface to programmatically detect surface waves.
• rlberry — An easy-to-use reinforcement learning library for research and education
• rlenv — Accenta.AI Gym Environement
• rockverse — Python tools for Computational Petrophysics
• rolldecay-estimators — A template for scikit-learn compatible packages.
• rtvamp — Vamp plugin host for real-time audio feature analysis
• saenopy — Semi-elastic fiber optimisation in python.
• saxton2006 — Formalisms published in Saxton and Rawls (2006)
• scenegraph — Simple organisation of shapes in space
• scikit-base — Base classes for sklearn-like parametric objects
• scikit-bot — Robotics in Python
• scikit-cycling — A set of python modules for cyclist using powermeters.
• scikit-dimension — scikit-dimension is a Python module for intrinsic dimension estimation built according to the scikit-learn API and distributed under the 3-Clause BSD license..
• scikit-elm — Extreme Learning Machine regressor/classifer compatible with scikit-learn
• scikit-fda — Functional Data Analysis Python package.
• scikit-fdiff — Automatic finite difference discretization for 1D PDE with fast temporal solvers.
• scikit-gmsh — no summary
• scikit-learn-extra — A set of tools for scikit-learn.
• scikit-mine — Pattern mining in Python
• scikit-multimodallearn — A scikit-learn compatible package for multimodal Classifiers
• scikit-optimize — Sequential model-based optimization toolbox.
• scikit-physlearn — A machine learning library for regression.
• scikit-plots — An intuitive library to add plotting functionality to scikit-learn objects.
• scikit-tree — Modern decision trees in Python
• score-regression — A classifier that maximizes AUC
• scores — Scores is a Python package containing mathematical functions for the verification, evaluation and optimisation of forecasts, predictions or models.
• scportrait — Computational framework to generate single cell datasets from raw microscopy images.
• scslat — A graph deep learning based tool to align single cell spatial omics data
• scvega — VEGA: a VAE Enhanced by Gene Annotations for interpretable scRNA-seq deep learning
• sdeconv — Library for 3D+t image scientific image processing
• sekupy — Detergent for your dirty neuroimaging pipelines
• sesameeg — Sequential Monte Carlo algorithm for multi dipolar source modeling in MEEG.
• ShockPy — Code developed to analytically model shock wave experiments with uncertainty
• sigmaepsilon.plotting.mpl — Utilities for plotting with matplotlib.
• sigmaepsilon.plotting.plotly — Utilities for plotting with Plotly.
• siphon — A collection of Python utilities for interacting with the Unidata technology stack.
• sisl — Manipulation and post-processing of DFT output and creating tight-binding models for NEGF transport
• skbase — Base classes for sklearn-like parametric objects
• skchange — Sktime-compatible change and anomaly detection
• skcyto — "Flow cytometry for sk-learn
• skdag — A flexible alternative to scikit-learn Pipelines
• skerch — Sketched matrix decompositions for PyTorch
• skfolio — Portfolio optimization built on top of scikit-learn
• skia-gradient-array — no summary
• sklearn-ann — Various integrations for ANN (Approximate Nearest Neighbours) libraries into scikit-learn.
• sklearn-contrib-py-earth — A Python implementation of Jerome Friedman's Multivariate Adaptive Regression Splines.
• sklearn-discretefirstorder — A scikit-learn compatible discrete first-order method for subset selection.
• sklearn-lmer — Scikit-learn estimator wrappers for pymer4 wrapped LME4 mixed effects models
• sklearn-lvq — Scikit-Learn compatible Generalized Learning Vector Quantization (GLVQ) and Robust Soft Learning Vector Quantization implementation.
• sklearn-rvm — An scikit-learn style implementation of Relevance Vector Machines (RVM).
• sklearn-sfa — A scikit-learn compatible implementation of Slow Feature Analysis
• sklvq — A collection of Learning Vector Quantization algorithms compatible with scikit-learn
• skope-rules-temp — Fork of https://github.com/scikit-learn-contrib/skope-rules
• skore — the scikit-learn sidekick
• skpro — A unified framework for tabular probabilistic regression, time-to-event prediction, and probability distributions in python
• skrub — Prepping tables for machine learning
• sktime-dl — Deep learning extension package for sktime, a scikit-learn compatible toolbox for learning with time series data
• skullTo3d — Pipeline for skull extraction for macaque/marmoset
• skwdro — A Robust ML toolbox
• smac — SMAC3, a Python implementation of 'Sequential Model-based Algorithm Configuration'.
• smote-variants — Variants of the synthetic minority oversampling technique (SMOTE) for imbalanced learning
• snake-fmri — A simulator and validator of fMRI reconstruction methods.