Reverse Dependencies of joblib
The following projects have a declared dependency on joblib:
- silvio — silvio is an environment for Simulation of Virtual Organisms. silvio contains several linked microbial models.
- sim-fish — Toolbox to simulate smFISH images.
- SimilarityText — Find the similarity between two texts using AI
- simphony-catalytic — SimPhoNy wrapper for CatalyticFoam
- simple-experiment-tracker — no summary
- simpleir — A Simple Framework for Image Retrieval
- simtool — Functions for creating and running sim2Ls
- simulated_annealing — A Simulated Annealing implimentation with a scikit-learn style API backed by joblib for speed.
- SINATRA-Pro — Python3 package for SINATRA Pro.
- singer-sdk — A framework for building Singer taps
- singer-target-iomete — Singer.io target for loading data to iomete
- SingleOrigin — Crystallographic analysis for STEM data
- singletrader — a package for backtesting and factor analysis
- sinr — Build word and graph embeddings based on community detection in graphs.
- siste-test — HyperFetch. A tool to optimize and fetch hyperparameters for your reinforcement learning application.
- sitefab — State of the art static website generator for humans
- size-constrained-clustering — Size Constrained Clustering solver
- sk-transformers — A collection of various pandas & scikit-learn compatible transformers for all kinds of preprocessing and feature engineering
- skcredit — scorecard
- skdag — A flexible alternative to scikit-learn Pipelines
- skfolio — Portfolio optimization built on top of scikit-learn
- skforecast — Forecasting time series with scikit-learn regressors. It also works with any regressor compatible with the scikit-learn API (pipelines, CatBoost, LightGBM, XGBoost, Ranger...).
- skga — The python package implementing the HyperBRKGA algorithm optimizes hyperparameters of machine learning algorithms through a hybrid approach based on genetic algorithms.
- skggm2 — Gaussian graphical models for scikit-learn.
- sklearn-contrib-lightning — Large-scale sparse linear classification, regression and ranking in Python
- sklearn-mlmlm — A python and sklearn compatible implementation of ML-MLM.
- sklearn-quantile — no summary
- sklearn-ranking — This package is used for recommendation system
- skll — SciKit-Learn Laboratory makes it easier to run machine learning experiments with scikit-learn.
- skoot — Skoot: Accelerate your data science pipelines
- skroute — Compute Routes easy and fast
- sktime-legacy — scikit-learn compatible toolbox for learning with time series/panel data
- sktmls — MLS SDK
- slalom-classification-model — Example classification model package for case study.
- slamdunk — SLAMdunk suite for analyzing SLAM-seq data
- slapstack — An Event Discrete Simulation Framework for Block-Stacking Warehouses.
- slcode — SL_C0de is a python library based on the matlab code SL_code. This module is used to calculate GIA over the world but alse the sediment isostasy. It include function to calculate radial symetric auto gravitational earth visco-elastic response. This module also include the possibility to resolve the Sea level equation based on the publication of Mitrovica and Austermann ... ajouter des refs. The aim of this library is to be easy to include new sources of load and link to other python library.
- sldc — SLDC, a generic framework for object detection and classification in large images.
- sleep-models — Models to learn the mapping between the transcriptome of cells and their sleep/wake state
- sleepecg — A package for sleep stage classification using ECG data
- sleepens — Sleep Classification using Ensemble Classification
- slmethod — Statistical Learning Method package
- slothtest — Sloth Test: An Automatic Unit Test Generator
- slotted-aloha-simulator — SAS provides simulation and mean field models for slotted Aloha with talkative users.
- smac — SMAC3, a Python implementation of 'Sequential Model-based Algorithm Configuration'.
- smallab — smallab (Small Lab) is an experiment framework designed to be easy to use with your experiment
- smenan — Developed for Sade Tech. Corp.
- smote-variants — Variants of the synthetic minority oversampling technique (SMOTE) for imbalanced learning
- SMPyBandits — SMPyBandits: Open-Source Python package for Single- and Multi-Players multi-armed Bandits algorithms.
- smrt — The Snow Microwave Radiative Transfer (SMRT) model is a highly modular model to compute the thermal emission and backscattering coefficient of snowpacks and other cryospheric bodies in the microwave domain.
- snips-nlu-metrics — Python package to compute NLU metrics
- snitch-ai — Client library for using Snitch AI's model validation platform
- sober-bo — Fast Bayesian optimization, quadrature, inference over arbitrary domain (discrete and mixed spaces) with GPU parallel acceleration based on GPytorch and BoTorch.
- sobo — Regioselectivity of the iridium-catalyzed borylation.
- social-distancing-sim — no summary
- social-networks-bot-finder — CLI tool to help detecting if a twitter account is a bot
- soft-404 — A classifier for detecting soft 404 pages
- software-driven-RDM — no summary
- soil-moisture-prediction — Predicts soil moisture from cosmic ray neutron sensor data using a random forest model
- solcix — A Python wrapper for the Solidity compiler. Switch between versions, compile, and manage artifacts.
- solcore — Python-based solar cell simulator
- somata — State-space Oscillator Modeling And Time-series Analysis
- SOMGraySclae — Using mainifest to improve a grayscale method based on Color-to-gray conversion using ISOMAP [Cui et al. 2010]
- somorrostro-regression-model — Example regression model for IAB Somorrostro
- SOMptimised — An optimised Self Organising Map which can write and read its values into and from an external file.
- sona-regression-model — regression model package from Train In Data.
- sonosco — Framework for training deep automatic speech recognition models.
- sosaa-gui — Graphical User Interface for Configuring, Running, and Approximating the SOSAA Model
- soupspoon — Additional functionality for BeautifulSoup
- SpaceCherenkovSimulator — Python library containing tools for simulating Cherenkov detector count rates in space.
- spaceship-titanic-classif-model — This is an toy project to learn the basics of MLOps and software design in the machine learning context
- spacy-combo — COMBO wrapper for spaCy
- spacy-crfsuite — spaCy pipeline component for CRF entity extraction
- spamdetector — Spam Classifier/Detector ML Package
- spamdetectorml — Classifying text as spam or not-spam using ML
- sparselandtools — A package for sparse representations and dictionary learning
- sparsereg — Modern sparse linear regression
- spartans — Sparse Tools for Analysis
- sparx-lib — Sparx Implementation
- spatialdata-io — SpatialData IO for common techs
- SpatialQC — Spatial transcriptome quality control, generate HTML QC report, obtain filtered clean data
- spaudiopy — Spatial Audio Python Package
- special-k — Safe serialization of ML models.
- spectral-cube — A package for interaction with spectral cubes
- spectral-metric — Implementation of Cumulative Spectral Gradient (CSG), a measure to estimate the complexity of datasets. This works has been presented at CVPR 2019.
- spectrum-fundamentals — Fundamental functions, annotation pipeline and constants for oktoberfest
- SpeechBrain — All-in-one speech toolkit in pure Python and Pytorch
- speedboot — Bootstrap library for vector-valued statistics with BCa confidence intervals.
- spektral — Graph Neural Networks with Keras and TensorFlow.
- spell-corrector-pt — This is a simple tool to correct portuguese misspells automatically.
- spflow — Sum Product Flow: An Easy and Extensible Library for Sum-Product Networks
- sphynxml — no summary
- spider-auto-parse — 自动解析详情、时间、列表
- spifpy — Single Particle Image Format (SPIF) data converter and interface
- spikecomparison — Python toolkit for analysis, visualization, and comparison of spike sorting output
- spikeextractors — Python module for extracting recorded and spike sorted extracellular data from different file types and formats
- spiketoolkit — Python toolkit for analysis, visualization, and comparison of spike sorting output
- spkit — SpKit: Signal Processing ToolKit
- splitgraph-pipelinewise-target-postgres — Singer.io target for loading data to PostgreSQL - PipelineWise compatible
- spott — Face Recognizer