Reverse Dependencies of sphinx-gallery
The following projects have a declared dependency on sphinx-gallery:
- imbalanced-learn — Toolbox for imbalanced dataset in machine learning.
- inequality — inequality: Spatial inequality analysis
- inne — A Isolation based anomaly detection algorithms.
- iohub — N-dimensional bioimaging data I/O with OME metadata in Python
- iop4 — A rewrite of IOP3, a pipeline to work with photometry and polarimetry of optical data from CAHA and OSN.
- irispy-lmsal — Provides tools to read and analyze data from the IRIS solar-observing satellite.
- ITMO-FS — Python Feature Selection library from ITMO University.
- julearn — Juelich Machine Learning Library
- junifer — JUelich NeuroImaging FEature extractoR
- jupytext — Jupyter notebooks as Markdown documents, Julia, Python or R scripts
- jupytext-ebp — Jupyter notebooks as Markdown documents, Julia, Python or R scripts
- kikuchipy — Processing, simulating and indexing of electron backscatter diffraction (EBSD) patterns.
- km3astro — Astronomical utilities for KM3NeT
- km3compass — Light weight package to read and exploit km3net compass data
- km3db — KM3NeT database library
- km3dia — Python module providing access to DIA DB information.
- km3io — "KM3NeT I/O library without ROOT"
- km3irf — KM3NeT instrument response functions
- km3net-testdata — KM3NeT TestData
- km3pipe — "An analysis framework for KM3NeT"
- km3services — Microservices for KM3NeT
- kmapper — Python implementation of Mapper algorithm for Topological Data Analysis.
- koho — Decision Forest C++ library with a scikit-learn compatible Python interface
- korner — korner
- lapy — A package for differential geometry on meshes (Laplace, FEM)
- lazyscribe — Lightweight and lazy experiment logging
- lds-python — Linear Dynamical Systems
- leaspy — Leaspy is a software package for the statistical analysis of longitudinal data.
- legendkit — Legend creation and manipulation with ease for matplotlib
- librosa — Python module for audio and music processing
- lightkde — Lightning fast, lightweight, and reliable kernel density estimation.
- lightly — A deep learning package for self-supervised learning
- LightWave2D — A package for finite-difference time domain computation for light propagation.
- limbo-ml — Library for accessing computer vision training data in Limbo Data Format.
- lmfit — Least-Squares Minimization with Bounds and Constraints
- LRBoost — Linear Residual Boosting compatible with scikit-learn.
- magpylib — Free Python3 package to compute magnetic fields.
- makana-model — Makana Model.
- makana-service — Makana Service
- mapclassify — Classification Schemes for Choropleth Maps.
- mapmatcher — A package to map-match GPS traces onto an arbitrary network
- marsilea — Create x-layout visualization
- matcouply — Regularized coupled matrix factorisation with AO-ADMM
- mcalf — "MCALF: Multi-Component Atmospheric Line Fitting"
- mealy — Model Error Analysis python package
- meco — MECO: Multi-objective Evolutionary Compression.
- meegkit — M/EEG denoising in Python
- mera-tvm-runtime — Mera TVM: An End to End Tensor IR/DSL Stack for Deep Learning Systems, adapted to Mera (https://github.com/Edgecortix-Inc/mera) environment.
- mermaid — Image registration toolbox based on pyTorch
- metaheuristic — A package with some metaheuristics to feature selection
- MetPy — Collection of tools for reading, visualizing and performing calculations with weather data.
- metric-learn — Python implementations of metric learning algorithms
- mgwr — multiscale geographically weighted regression
- mitiq — Mitiq is an open source toolkit for implementing error mitigation techniques on most current intermediate-scale quantum computers.
- mlinsights — Extends the list of supported operators in onnx reference implementation and onnxruntime, or implements faster versions in C++.
- mloptimizer — mloptimizer is a Python library for optimizing hyperparameters of machine learning algorithms using genetic algorithms.
- mlscorecheck — ML score check: checking the validity of machine learning and computer vision scores
- mlx-graphs — Graph Neural Network library made for Apple Silicon
- mne-connectivity — mne-connectivity: A module for connectivity data analysis with MNE.
- mne-icalabel — MNE-ICALabel: Automatic labeling of ICA components from MEG, EEG and iEEG data with MNE.
- mne-lsl — Real-time framework integrated with MNE-Python for online neuroscience research through LSL-compatible devices.
- mne-nirs — An MNE compatible package for processing near-infrared spectroscopy data.
- mne-qt-browser — A new backend based on pyqtgraph for the 2D-Data-Browser in MNE-Python
- mne-realtime — A module for real-time data analysis with MNE.
- MOCPy — MOC parsing and manipulation in Python
- modopt — Modular Optimisation tools for soliving inverse problems.
- mpl-interactions — Matplotlib aware interact functions
- mpl-pe-fancy-bar — no summary
- mpl-pe-pattern-monster — no summary
- mpl-playback — Record and playback matplotlib figures
- mpl-point-clicker — no summary
- mpl-poormans-3d — no summary
- mpl-simple-svg-parser — no summary
- mpl-skia-pathops — no summary
- mpl-speech-bubble — no summary
- mpl-visual-context — no summary
- mplsignal — Matplotlib extension for signal processing-related plots
- mprod-package — Software implementation for tensor-tensor m-product framework
- MPSPlots — A matplotlib "wrapper" for defered plots.
- MPSTools — Personal toolbox.
- mri-nufft — MRI Non-Cartesian Fourier Operators with multiple computation backends.
- mubind — ML for biomolecular binding
- musicaiz — A python framework for symbolic music generation, evaluation and analysis
- mutar — Multi-Task Regression in Python
- napari — n-dimensional array viewer in Python
- napari-animation — A plugin for making animations in napari
- napari-matplotlib — A plugin to use Matplotlib with napari
- ncrar-audio — Audio tools supporting psiexperiment
- ncvx-sparse — Scikit-learn compatible implementation of nonconvex sparse estimators for single- and multi-task linear regressions (e.g. SCAD, MCP, l1-group-SCAD, etc).
- ndcube — A package for multi-dimensional contiguous and non-contiguous coordinate aware arrays.
- ndsplines — Multi-dimensional splines
- neo — Neo is a package for representing electrophysiology data in Python, together with support for reading a wide range of neurophysiology file formats
- netgraph — Python drawing utilities for publication quality plots of networks.
- netneurotools — A toolbox for network neuroscience
- netneurotools-scipyfix — Commonly used tools in the Network Neuroscience Lab
- networkx — Python package for creating and manipulating graphs and networks
- neuralcompression — A collection of tools for neural compression enthusiasts
- Neuroharmony — A tool to perform Freesurfer volume Harminization in unseen scanner.
- neurolang — "NeuroLang: Probabilistic Logic Programming for NeuroScience Research"
- neuromaps — A toolbox for projecting, resampling, and comparing brain maps