Reverse Dependencies of sphinx-gallery
The following projects have a declared dependency on sphinx-gallery:
- 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
- radiospectra — Provide support for some type of radio spectra in solar physics
- radshap — Shapley values for interpreting radiomic models
- 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.
- reperiods-beta — A set of tools to find Representative Periods.
- research-learn — Toolbox for reproducible research in machine learning.
- restoreio — Reconstruct incomplete oceanographic dataset
- rijksplotlib — A datavizualization compliance library for RWS Datalab
- rlberry — An easy-to-use reinforcement learning library for research and education
- rlenv — Accenta.AI Gym Environement
- 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.
- 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-learn-extra — A set of tools for scikit-learn.
- scikit-mine — Pattern mining in Python
- scikit-optimize — Sequential model-based optimization toolbox.
- scikit-physlearn — A machine learning library for regression.
- scikit-tree — Modern decision trees in Python
- score-regression — A classifier that maximizes AUC
- 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
- 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.
- skbase — Base classes for sklearn-like parametric objects
- 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
- 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
- skops — A set of tools to push scikit-learn based models to and pull from Hugging Face Hub
- skpro — A unified framework for probability distributions and probabilistic supervised regression
- 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
- smac — SMAC3, a Python implementation of 'Sequential Model-based Algorithm Configuration'.
- smote-variants — Variants of the synthetic minority oversampling technique (SMOTE) for imbalanced learning
- sncosmo — Package for supernova cosmology based on astropy
- som-learn — Self-Organizing Map algorithm.
- spacesense — Spacesense Client Library
- spateo-release — Spateo: multidimensional spatiotemporal modeling of single-cell spatial transcriptomics
- sphinx-astropy — Sphinx extensions and configuration specific to the Astropy project
- spikeinterface — Python toolkit for analysis, visualization, and comparison of spike sorting output
- spint — SPatial INTeraction models
- splinebox — A python package for fitting splines.
- sppam — A classifier that endeavors to solve the saddle point problem for AUC maximization.
- srlearn — Python wrappers for using BoostSRL jar files.
- stabilized-ica — Stabilized ICA algorithm
- stimuli — Simple auditory and visual stimuli avoiding PsychoPy.
- stonesoup — A tracking and state estimation framework
- subgradient-svm-classifier — A package compatible with scikit-learn.
- suncasa — "SunCASA: CASA-based Python package for reducing, analyzing, and visualizing solar dynamic spectroscopic imaging data at radio wavelengths"
- sunkit-instruments — A SunPy-affiliated package for solar instrument-specific tools.
- sunkit-pyvista — 3D visualisation of solar physics data with pyvista
- sunpy — SunPy core package: Python for Solar Physics
- sunpy-sphinx-theme — The sphinx theme for the SunPy website and documentation.
- sunraster — sunraster is an open-source Python library that provides the tools to read in and analyze spectrogram data.
- SuPyMode — A package for light propagation in fiber optics.
- svGPFA — Python implementation of the svGPFA algorithm (Duncker and Sahani, 2018)
- tapqir — Bayesian analysis of co-localization single-molecule microscopy image data
- teachpyx — Teaching material, algorithm, machine learning
- tenbagger — test
- tensorly-viz — Package to visualise component-based decomposition models such as PCA and PARAFAC
- TFPWA — Partial Wave Analysis program using Tensorflow
- thisnotthat — Tools for interactive visualization and exploration of _data maps_
- timeoutpool — Process pool with timeout for each individual job.
- TLVis — Package to visualise component-based decomposition models such as PCA and PARAFAC
- TLViz — Package to visualise component-based decomposition models such as PCA and PARAFAC
- tofu — A python library for Tomography for Fusion
- torch-explain — PyTorch Explain: Explainable Deep Learning in Python.
- torch-uncertainty — Uncertainty quantification library in PyTorch