Reverse Dependencies of cupy

The following projects have a declared dependency on cupy:

• abTEM — no summary
• acutils-python — Data processing library implemented by Acuzle.
• anndata — Annotated data.
• array-api-compat — A wrapper around NumPy and other array libraries to make them compatible with the Array API standard
• astro-seeing — Sympy Expressions Evaluation Implemented oN the GPU
• awkward-cuda-kernels — CUDA plug-in for Awkward Array, enables GPU-bound arrays and operations.
• awkward1-cuda-kernels — CUDA plug-in for Awkward Array, enables GPU-bound arrays and operations.
• bayesbridge — Generates posterior samples under Bayesian sparse regression based on the bridge prior using the CG-accelerated Gibbs sampler of Nishimura et. al. (2018). The linear and logistic model are currently supported.
• BioPII — BioPII (Biology Parallel Integral Image) is a Python package for performing sliding window analysis (SWA) on biological images.
• bnpm — A library of useful modules for data analysis.
• boid-py — A package for calculating positons of boids
• bucky-covid — The Bucky model is a spatial SEIR model for simulating COVID-19 at the county level.
• CalSciPy — A toolbox for analyzing, designing, and visualizing multiphoton imaging & optogenetics experiments.
• cbmos — A framework for numerical analysis of center-based cell models
• codex-africanus — Radio Astronomy Building Blocks
• cryosieve — CryoSieve: a particle sorting and sieving algorithm for single particle analysis in cryo-EM
• cupy-knn — A fast nearest neighbor index cuda implementation for 3-D points using a left balanced BVH-tree.
• cupy-xarray — Interface for using cupy in xarray, providing convenience accessors.
• cutci — Cutci is a library to calculate Human Thermal Comfort Index (UTCI) by GPU-accelerated computing with CuPy.
• cycoda — no summary
• deepnp — Building deep learning models with numpy only
• detectorcal — Ring artefact suppression in X-ray CT using pixel-wise linear correction
• dexp — Light-sheet Dataset EXploration and Processing
• e2eml — An end-to-end solution for automl
• earthstat — EarthStat Library
• EasyIsing — A small package that provides a simple Ising model simulation on a squared lattice with the Metropolis algorithm.
• emgdecomp — Package for decomposing EMG signals into motor unit firings.
• gpu-slic — CUDA implementation of the SLIC segmentaion algorithm.
• gpumap — UMAP with GPUs
• gt4py — Python library for generating high-performance implementations of stencil kernels for weather and climate modeling from a domain-specific language (DSL)
• gwpopulation — Unified population inference
• hepaccelerate — Fast kernels for analyzing jagged columnar data common in high-energy physics.
• himalaya — Multiple-target machine learning
• hypernets — An General Automated Machine Learning Framework
• japanAirAnalytics — This software is being developed at the University of Aizu, Aizu-Wakamatsu, Fukushima, Japan
• jess — Just in Time Elimination of Spurious Signals - jess
• jitfields — Fast utilities for dense scalar and vector fields
• klongpy — High-Performance Klong array language with rich Python integration.
• kltpicker2 — KLT Picker: Particle picking using data-driven optimal templates
• libertem — Open pixelated STEM framework
• locan — Analysis software for single-molecule localization microscopy
• locate-pixelcolor-cupy — Detects colors in images up to 8 times as fast as NumPy
• logicqubit-gpu — logicqubit-gpu is a simple library for quantum computing simulation with gpu acceleration.
• mastsel — Asterism Selection for MAVIS instrument
• ms-entropy — This package provides a Python implementation of calculating spectral entropy, entropy similarity, and Flash entropy search for mass spectrometry data.
• multinterp — Multivariate Interpolation.
• myylearn — An General Automated Machine Learning Framework
• napari-cupy-image-processing — GPU-accelerated image processing using CUDA
• nonconvexAG-GPU — (GPU version) Implementation of accelerated gradient algorithm with strong rules for (high-dimensional) nonconvex sparse learning problems.
• NonParametricDensity — Python module for nonparametric density estimation with GPU support.
• openchatkit — OpenChatKit - a powerful, open-source base to create both specialized and general purpose chatbots
• pami — This software is being developed at the University of Aizu, Aizu-Wakamatsu, Fukushima, Japan
• postpruner — no summary
• py4DSTEM — An open source python package for processing and analysis of 4D STEM data.
• pymindcorecupy — A Python library for AI, easy to use, freely available for any use
• pyolaf — 3D reconstruction framework for light field microscopy
• pytom-match-pick — PyTOM's GPU template matching module as an independent package
• pyxem — multi-dimensional diffraction microscopy
• raccoon-cluster — Scale-adaptive clustering in Python
• s1280247-learn2 — This ssoftware is being developd in the Python Class, University of Aizu.
• s1282003-learn — This software is being developed at the University of Aizu, Aizu-Wakamatsu, Fukushima, Japan
• s1282006-learn — This software is being developed at the University of Aizu, Aizu-Wakamatsu, Fukushima, Japan
• s1290229-learn — This software is being developed at the University of Aizu, Aizu-Wakamatsu, Fukushima, Japan
• s1290242-learn — This software is being developed at the University of Aizu, Aizu-Wakamatsu, Fukushima, Japan
• scatcluster — A workflow for clustering continuous time series with a deep scattering network.
• seedbank — Common infrastructure for initializing random number generators.
• segram — A framework for semantic grammar and narrative analysis.
• shinnosuke-gpu — A keras-like API deep learning framework,realized by cupy
• shrs — This package contains the programs that design primer set for microbiological analysis and perform some accessory analysis.
• SimpSOM — Simple Self-Organizing Maps in Python
• SLAP2-UTILS — Code to support using a SLAP2 Microscope
• SoyDNGP — A deeplearning driving bioinformatic toolkit.
• spacy-pytorch-transformers — spaCy pipelines for pre-trained BERT and other transformers
• spacy-transformers — spaCy pipelines for pre-trained BERT and other transformers
• spacy-wrap — Wrappers for including pre-trained transformers in spaCy pipelines
• sparsebm — An implementation of Stochastic Bloc model and Latent Block model efficient with sparse matrices
• sparseconverter — Converter matrix and type determination for a range of array formats, focusing on sparse arrays
• spatialstats — Statistical routines to analyze the spatial structure of 2D and 3D spatial fields and particle distributions.
• spellmatch — Spatial cell representation matching
• sporco — Sparse Optimisation Research Code: A Python package for sparse coding and dictionary learning
• thinc — A refreshing functional take on deep learning, compatible with your favorite libraries
• tike — no summary
• torchsparsegradutils — A collection of utility functions to work with PyTorch sparse tensors
• vanilla-roll — A simple array based volume renderer
• xesn — Echo State Networks powered by xarray
• young — Jason Young's personal Machine Translation System used for daily research in Natural Language Processing