Reverse Dependencies of sparse

The following projects have a declared dependency on sparse:

• adso — A topic-modelling library
• anxcor — ANXCOR is a python library for performing seismic ambient noise crosscorrelations
• armcor — ArmCor is a Python library for detecting and correcting OCR errors for Armenian texts.
• batchglm — Fast and scalable fitting of over-determined generalized-linear models (GLMs)
• Beat-ML1 — This package contains several methods for calculating Conditional Average Treatment Effects
• BEAT-TEST — This package contains several methods for calculating Conditional Average Treatment Effects
• BEATAALU — This package contains several methods for calculating Conditional Average Treatment Effects
• bnpm — A library of useful modules for data analysis.
• burnman — A thermoelastic and thermodynamic toolkit for the Earth and planetary sciences
• caf.distribute — Methods to distribute values across arrays
• caf.toolkit — A toolkit of transport planning and appraisal functionalities
• cblearn — Comparison-based Machine Learning in Python.
• chainladder — Chainladder Package - P&C Loss Reserving package
• clifford — Numerical Geometric Algebra Module
• climix — A climate index package
• dask-glm — Generalized Linear Models with Dask
• dask-lightgbm — LightGBM distributed training on Dask
• dask-xgboost — Interactions between Dask and XGBoost
• dbstats — dbstats
• dscribe — A Python package for creating feature transformations in applications of machine learning to materials science.
• econml — This package contains several methods for calculating Conditional Average Treatment Effects
• emd — Empirical Mode Decomposition
• entity-search — Entity Search
• evalseg — Medical Image Segmentation Evaluation
• eviz — An easy to use visualization framework for Earth system models
• explainable-rl — A package for explainable tabular reinforcement learning.
• filter-functions — Package for efficient calculation of generalized filter functions
• FIRSTBEATLU — This package contains several methods for calculating Conditional Average Treatment Effects
• foundry-econml — This package contains several methods for calculating Conditional Average Treatment Effects
• genno — Efficient, transparent calculation on N-D data
• GuangBEAT — BEAT
• GuangTestBeat — This package contains several methods for calculating Conditional Average Treatment Effects
• hermespy — The Heterogeneous Radio Mobile Simulator
• histpy — no summary
• ilastik-napari — ilastik plugin for napari
• karray — Lightweight labelled multidimensional arrays with NumPy arrays under the hood.
• larch6 — no summary
• libertem — Open pixelated STEM framework
• lostruct — Re-implementation of lostruct in Python, used to compare local population structure across populations.
• lostruct-py — Re-implementation of lostruct in Python, used to compare local population structure across populations.
• LUBEAT — This package contains several methods for calculating Conditional Average Treatment Effects
• lumin — LUMIN Unifies Many Improvements for Networks: A PyTorch wrapper to make deep learning more accessable to scientists
• LZBEAT — This package contains several methods for calculating Conditional Average Treatment Effects
• matrepr — Format matrices and tensors to HTML, string, and LaTeX, with Jupyter integration.
• matspy — Sparse matrix spy plot and sparkline renderer that works with Jupyter.
• mechanoChemML — A machine learning software library for computational materials physics
• molecular — A toolkit for molecular dynamics simulations
• motion-correction — Motion correction algorithms for FLIM data.
• mqt.ddsim — A quantum simulator based on decision diagrams written in C++
• napari-hdf5-labels-io — Napari plugin to store set of layers in a .h5 file. Label layer are stored in a sparse representation.
• nclustgen — Tool to generate biclustering and triclustering datasets
• netallocation — Package for allocating flows and costs in a PyPSA network
• netket — Netket : Machine Learning toolbox for many-body quantum systems.
• neurodatagen — Neuroscience data generation
• nmrsim — A library for simulating nuclear magnetic resonance (NMR) spectra.
• pangeo-xesmf — Universal Regridder for Geospatial Data
• paprica — APR-based image processing pipeline for microscopy data
• ptychography40 — Phase reconstruction using ptychography
• pyquafu — Python toolkit for Quafu-Cloud
• python-graphblas — Python library for GraphBLAS: high-performance sparse linear algebra for scalable graph analytics
• pyxu — Modular and scalable computational imaging in Python with support for GPU/out-of-core computing.
• qgs — A 2-layer quasi-geostrophic atmospheric model in Python. Can be coupled to a simple land or shallow-water ocean component.
• qiskit-machine-learning — Qiskit Machine Learning: A library of quantum computing machine learning experiments
• qiskit-nature — Qiskit Nature: A library of quantum computing chemistry/physics experiments
• quantum-computer — Optimal Control for Quantum Systems
• rayflare — Python-based integrated optical modelling
• roicat — A library for classifying and tracking ROIs.
• rosettasciio — Reading and writing scientific file formats
• sccross — Single cell multi-omics cross modal generation, multi-omics simulation and perturbation
• scglue — Graph-linked unified embedding for unpaired single-cell multi-omics data integration
• scvi-tools — Deep probabilistic analysis of single-cell omics data.
• secretflow — SecretFlow
• sfaira — sfaira is a model and a data repository for single-cell data in a single python package.
• smmregrid — Regridding based on sparse matrix multiplication
• spacy-combo — COMBO wrapper for spaCy
• sparse — Sparse n-dimensional arrays for the PyData ecosystem
• sparseconverter — Converter matrix and type determination for a range of array formats, focusing on sparse arrays
• spartan2 — collection of data mining algorithms on big graphs and time series
• teili — This toolbox was developed to provide computational neuroscientists and neuromorphic engineers with a playground for implementing neural algorithms which are simulated using Brian 2.
• tiled — Structured Scientific Data Access Service
• tiledb-ml — Package supports all machine learning functionality for TileDB Embedded and TileDB Cloud
• unfold — Unpacks LCA scenario databases.
• vqls-prototype — Repository for a quantum prototype
• xesmf — Universal Regridder for Geospatial Data
• xscen — A climate change scenario-building analysis framework, built with xclim/xarray.
• yapic-io — io data handling module for various image sources as interface for pixel classification tools