Reverse Dependencies of tensorly

The following projects have a declared dependency on tensorly:

• apollo-toolbox-py — no summary
• as-seg — Package for the segmentation of autosimilarity matrices. This version is related to a stable vesion on PyPi, for installation in MSAF.
• aspcore — no summary
• barmuscomp — Package for barwise compression applied on musical segmentation.
• barnacle — unsupervised clustering analysis via sparse tensor decomposition
• bnpm — A library of useful modules for data analysis.
• cca-zoo — Canonical Correlation Analysis Zoo: A collection of Regularized, Deep Learning based, Kernel, and Probabilistic methods in a scikit-learn style framework
• cell2cell — TBD
• clria — Package to decipher LRI-mediated brain network communication
• CNTools — A package for identifying cellular neighborhoods
• ComponentVis — Package to visualise component-based decomposition models such as PCA and PARAFAC
• corcondia — An implementation of the CORCONDIA (Core Consistency Diagnostic) in Python.
• cpsplines — Constrained P-splines
• DADMSPeakSolver — Program for the automated analysis and sample selection of high-throughout LC-DAD-MS data.
• earth2studio — Open-source deep-learning framework for exploring, building and deploying AI weather/climate workflows.
• eem-python — A python toolkit for excitation-emission matrix (EEM) analysis
• EEMs-toolkit — EEMs_toolkit是一个可以在Python上对三维荧光（EEM）进行平行因子分析（PARAFAC）的工具包，功能大致类似于MATLAB的drEEM toolbox。
• face-rhythm — A pipeline for analysis of facial behavior using optical flow
• fedot-ind — Time series analysis framework
• fistnd — FIST-nD, Fast Imputation of Spatially-resolved transcriptomes by graph-regularized Tensor completion in n-Dimensions imputes 3D as well as 2D spatial transcriptomics data.
• flexible-fl — no summary
• fme — Train and evaluate weather/climate model emulators
• hocmo — A Generalized Higher-Order Correlation Model (HOCMO) tool to generate scores modeling the strength of the relationship between triplicate entities using a tensor-based approach
• informatics — Framework of fast implementation data processing and operating pipelines
• ingenii-quantum — Quantum and quantum-inspired algorithms for machine learning.
• matcouply — Regularized coupled matrix factorisation with AO-ADMM
• mnncompress — model comprssion tools for MNN
• mocca — MOCCA (Multivariate Online Contextual Chromatographic Analysis) is an open-source Python project to analyze HPLC–DAD raw data.
• musco-pytorch — MUSCO: Multi-Stage COmpression of Neural Networks
• ndlearn — Learning from and reconstructing networks using Nonnegative Matrix Factorization
• nerfstudio — All-in-one repository for state-of-the-art NeRFs
• neural-transport — Neural Transport - A Python library to train neural network emulators of atmospheric transport models.
• neuraloperator — NeuralOperator: Learning in Infinite Dimensions
• nn-fac — Nonnegative factorization toolbox.
• nvidia-modulus — A deep learning framework for AI-driven multi-physics systems
• oboe — An AutoML pipeline selection system to quickly select a promising pipeline for a new dataset.
• pyCroscopy — Python library for scientific analysis of microscopy data
• pykale — Knowledge-aware machine learning from multiple sources in Python
• pyvidcompress — Tensor decomposition based video compression library for CPUs and GPUs
• qclib — A quantum computing library using qiskit
• scprint — scPRINT is a Large Cell Model for Gene Network Inference, Denoising and more from scRNAseq data
• scTenifoldpy — scTenifoldpy
• SOAPy-st — Spatial Omics Analysis in Python
• sovai — python for asset management
• SPACEc — SPatial Analysis for CodEX data (SPACEc)
• spaco — Smooth and probablistic PARAFAC decomposition with covariates
• tenetan — Temporal Network Analysis Library
• TensorClus — TensorClus is a Python package for clustering of three-way tensor data
• tensorly-gcp — Generalized CP Decomposition with Tensorly
• tensorly-quantum — Tensor-Based Quantum Machine Learning
• tensorly-viz — Package to visualise component-based decomposition models such as PCA and PARAFAC
• 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
• tmseegpy — A pipeline for preprocessing and analyzing TMS-EEG data
• torch-harmonics — A differentiable spherical harmonic transform for PyTorch.