Reverse Dependencies of joblib
The following projects have a declared dependency on joblib:
- mqt.problemsolver — MQT ProblemSolver - A MQT tool for Solving Problems Using Quantum Computing
- mrmr-selection — minimum-Redundancy-Maximum-Relevance algorithm for feature selection
- mrsimulator — A python toolbox for simulating fast real-time solid-state NMR spectra.
- msaf — Python module to discover the structure of music files
- msaf-test — Python module to discover the structure of music files
- msapy — Multi-perturbation Shapley value Analysis (MSA)
- msbuddy — Molecular formula annotation for MS-based small molecule analysis.
- msd-model-regression-ligan — Example regression model package from Train In Data.
- Msd-regression-models — Example regression model package from Train In Data.
- msdlib — msdlib is meant for making life easier of a common data scientist/data analyst/ML enginner.
- msitrees — MSI based machine learning algorithms
- mskit — Utils for MS data processing
- msqlpd — return a path information
- mstar-alpha — Stellar mass galaxy estimator
- mtdlearn — Package for training Mixture Transition Distribution (MTD) models
- mulmap — map based easy paralell processing tool
- multicall-thread-safe — Thread Safe Multicall for execution in containerised environments, tweaked from https://github.com/banteg/multicall.py
- multiclass-cascade-classifier — This package implements a multiclass cascade classifier for text classification in the contexte of web-scraping.
- multipers — Scikit-style Multiparameter persistence toolkit
- multipie — A python library for crystallographic symmetry operations and Symmetry-Adapted Multipole Basis (SAMB).
- multipleloader — Automatic loading of files with any extension
- multiscale-phate — multiscale_phate
- multivelo — Multi-omic extension of single-cell RNA velocity
- mungo — Quick environment solver
- musclebeachtools — This package used to analyze neuron data, from basic plotting (ISI histograms, firing rate, cross corr), to hard core computational work (ising models, branching ratios, etc).
- muse-origin — Blind detection of faint emission line galaxies in MUSE datacubes
- muse-psfr — MUSE WFM-AO PSF reconstruction from SPARTA
- museopheno — Time series and spectral indice management for Remote Sensing Sensors
- mushroom-rl — A Python toolkit for Reinforcement Learning experiments.
- musicnet — no summary
- musif — Music feature extraction library from the DIDONE project
- muspy — A toolkit for symbolic music generation
- mvbep — Measurement and Verification Building Energy Prediction (MVBEP) is an open-source framework for developing data-driven models for predicting the building baseline energy consumption and estimating savings associated with retrofitting in the post-retrofit period.
- mvlearn — A set of python modules for multiview learning
- My-package-VeluruBhanuprakash — A small package of perceptron
- myautoml — myautoml is a package which provides a framework to automate machine learning
- MyoKTROS — Myo EMG-based KT system for ROS
- myopic-mces — A package for computation of the myopic MCES distance
- Mypackage-pkg-VeluruBhanuprakash — A small package of perceptron
- mypo — no summary
- myylearn — An General Automated Machine Learning Framework
- mz-project-gender — no summary
- naamkaran — Generative model for names.
- nanga — NLP tasks
- nannos — Fourier Modal Method for multilayer metamaterials
- nanome-jax — NANOME (Nanopore methylation) pipeline developed by Li Lab at The Jackson Laboratory
- napari-buds — Random-forest automated bud annotation
- napari-clusters-plotter — A plugin to use with napari for clustering objects according to their properties
- napari-convpaint — A plugin for segmentation by pixel classification using convolutional feature extraction
- napari-stress — Interactive surface analysis in napari for measuring mechanical stresses in biological tissues
- napari-svetlana — A classification plugin for the ROIs of a segmentation mask.
- naturf — The Neighborhood Adaptive Tissues for Urban Resilience Futures tool (NATURF) is a Python workflow that generates data readable by the Weather Research and Forecasting (WRF) model. The NATURF Python modules use shapefiles containing building footprint and height data as input to calculate 132 building parameters at any resolution and converts the parameters into a binary file format.
- navlie — A collection of common state estimation algorithms in robotics.
- nb-util — A simple wrapper around joblib for jupyter notebooks
- nba-betting-model — Classification Model to predict whether the underdog team will improve its score in Q4
- nbi — Neural Bayesian Inference
- nbta — nbta is the Notebook Teaching Assistant helping with meaningful feedback, assessment and error management for Python
- ncd-classifier — Normalized Compression Distance based Classifier
- ncem — ncem. Learning cell communication from spatial graphs of cells.
- nd2-extractor — A simple tool to extract ND2 files to Zarr, PNG, or TIFF
- nearness — An easy-to-use interface for (approximate) nearest neighbors algorithms.
- NehorayRapid — Rapid base tools package
- NehorayRapid1 — Rapid base tools package
- neighpy — Neighbourhood Algorithm in Python
- nemed — NEM Emissions Data tool
- nemo-text-processing — NeMo text processing for ASR and TTS
- nemosis — A tool for accessing AEMO data.
- neo — Neo is a package for representing electrophysiology data in Python, together with support for reading a wide range of neurophysiology file formats
- neorl — NeuroEvolution Optimisation with Reinforcement Learning
- nephele — A shell for AWS
- neptune-contrib — Neptune.ai contributions library
- NERP — A pipeline for fine-tuning pre-trained transformers for Named Entity Recognition (NER) tasks
- nest-joblib — Patch joblib to allow nested parallelism
- netatmoqc — Use machine learning clustering methods to perform quality control over NetAtmo data
- networkml — Device Functional Role ID via Machine Learning and Network Traffic Analysis
- Netzwerk-pkg-palasanimahesh46 — A small package for perceptron
- neural-data-simulator — Electrophysiology simulator data for developing Brain-Computer Interfaces
- neureca — A framework for building conversational recommender systems
- neuroboros — Neuroimaging analysis in Python
- neurocat — Interface Design for Neurocat's Research Engineer Test
- Neuroharmony — A tool to perform Freesurfer volume Harminization in unseen scanner.
- neuronlinear — A small Perceptron package
- neuxus — A flexible software to build real-time pipeline for EEG processing
- newords — Find new words from corpus
- NewsTone — Sentimental Analysis
- nexora — This is an ML project in order to automate ML processes
- nexula — (In development) Tools on Benchmarking Machine Learning Toolkit
- ngs-toolkit — A toolkit for NGS analysis with Python.
- nh-prototype — no summary
- nidb-to-bids — Our lab's code to convert data dumped from NiDB to BIDS
- nightingale — Python library for simplifying statistical analysis and making it more consistent
- nilearn — Statistical learning for neuroimaging in Python
- niq — Nick's library of extraneous utils
- niteshade — Library for simulating data poisoning attacks against online learning.
- nlmod — Python package to build, run and visualize MODFLOW 6 groundwater models in the Netherlands.
- nlon-py — Python package for identifying text containing natural language (or not) using machine learning.
- NLP-AutoML — AutoML library for solving text -> label task
- nlp-dedup — Remove duplicates and near-duplicates from text corpora, no matter the scale.
- nlp-profiler — A simple NLP library allows profiling datasets with one or more text columns.
- nlp-uncertainty-zoo — PyTorch Implementation of Models used for Uncertainty Estimation in Natural Language Processing.