Reverse Dependencies of joblib
The following projects have a declared dependency on joblib:
- scdna-replication-tools — Code for analyzing single-cell replication dynamics
- sceleto — Tool to aid in single cell analysis (temporary description)
- scenedataset — PyTorch dataset which uses PySceneDetect to split videos into scenes
- scFates — scanpy compatible python suite for fast tree inference and advanced pseudotime downstream analysis
- scgenome — Code for analyzing single cell whole genomes
- schnapsen — A platform for coding and running card playing bots
- schwimmbad — A common interface for parallel processing pools.
- scib-metrics — Accelerated and Python-only scIB metrics
- scibench — A Python project template.
- scicam — no summary
- science-optimization — A framework for optimization.
- scifit — Scientific Fit for Python
- scikit-activeml — Our package scikit-activeml is a Python library for active learning on top of SciPy and scikit-learn.
- scikit-cache — Pickle-based caching library with SKLearn estimators supports
- scikit-cycling — A set of python modules for cyclist using powermeters.
- scikit-decide — The AI framework for Reinforcement Learning, Automated Planning and Scheduling
- scikit-fdiff — Automatic finite difference discretization for 1D PDE with fast temporal solvers.
- scikit-fingerprints — Library for effective molecular fingerprints calculation
- scikit-hubness — Hubness reduction and analysis tools
- scikit-learn-lambda — A handler for scikit learn models on AWS Lambda
- scikit-map — scikit-learn applied to mapping and spatial prediction
- scikit-mine — Pattern mining in Python
- scikit-multilearn-ng — Scikit-multilearn-ng is the follow up to scikit-multilearn, a BSD-licensed library for multi-label classification that is built on top of the well-known scikit-learn ecosystem.
- scikit-net — Machine Learning in Complex Networks
- scikit-optimize — Sequential model-based optimization toolbox.
- scikit-optimize-fix — Sequential model-based optimization toolbox. Forked to fix a deprecation for NumPy>1.24.
- scikit-optimize-w — Sequential model-based optimization toolbox.
- scikit-optimizer — Sequential model-based optimization toolbox.
- scikit-plot — An intuitive library to add plotting functionality to scikit-learn objects.
- scikit-psl — Probabilistic Scoring List classifier
- scikit-ribo — A scikit framework for joint analysis of Riboseq and RNAseq data
- scikit-rough — no summary
- scikit-survival — Survival analysis built on top of scikit-learn
- scikit-tabtrans — TabTransformer ready for Scikit learn.
- scikit-tree — Modern decision trees in Python
- scilpy — Scilpy: diffusion MRI tools and utilities
- scipion-em-facilities — Plugin for Cryo-EM facilities to be used within Scipion framework
- scipion-em-xmipp — Plugin to use Xmipp programs within the Scipion framework (see https://scipion-em.github.io/docs/).
- scirpy — Python library for single-cell adaptive immune receptor repertoire (AIRR) analysis
- scispacy — A full SpaCy pipeline and models for scientific/biomedical documents.
- scludam — Star cluster detection and membership estimation based on GAIA data.
- scmdata — scmdata provides some useful data handling routines for dealing with data related to simple climate models (SCMs aka reduced complexity climate models, RCMs)
- scMDCF — Aligned Cross-modal Integration and Characterization of Single-Cell Multiomic Data with Deep Contrastive Learning
- scml — ANAC Supply Chain Management League Platform
- scorecardpipeline — 评分卡pipeline建模包,封装toad、scorecardpy、optbinning等评分卡建模相关组件,API风格与sklearn高度一致,自持自定义模型报告输出
- scProject — Transfer learning framework for single cell gene expression analysis in Python
- scrape-glosbe-dict — Scrape glosbe dicts given a head words file
- scsims — Scalable, Interpretable Deep Learning for Single-Cell RNA-seq Classification
- scslat — A graph deep learning based tool to align single cell spatial omics data
- sdeconv — Library for 3D+t image scientific image processing
- sdfest — 6-DoF pose, scale, and shape estimation architecture
- sdrdm_database — An sdRDM-based framework to utilize databases
- SDUtils — StratoDem utilities
- seaflowpy — A Python library for SeaFlow data
- sealion — SeaLion is a comprehensive machine learning and data science library for beginners and ml-engineers alike.
- seapy-ocean — State Estimation and Analysis in PYthon
- searchdatamodels — no summary
- SEBAL — Python module for Surface Energy Balance Algorithm for Land
- seclea-ai — Seclea integration.
- secml — A library for Secure and Explainable Machine Learning
- sed-processor — Single Event Data Frame Processor: Backend to handle photoelectron resolved datastreams
- segregation — Analytics for spatial and non-spatial segregation in Python.
- selective — feature selection library
- selective-search — Selective Search in Python
- self-paced-ensemble — Self-paced Ensemble for classification on class-imbalanced data.
- semantic-search-faiss — Semantic search to query covid related papers
- sencha — Sencha is a Python package for directly translating RNA-seq reads into coding protein sequence.
- sensor-position-dataset-helper — A helper for the SensorPositionDateset (recorded 2019, published 2021)
- sentimentmodel — Sentiment analysis model
- sentinel-analyses — Package for spectral analyses of Sentinel-1 data
- sentivi — A simple tool for Vietnamese Sentiment Analysis
- sepal — Quantitative MRI processing
- seq2pat — Seq2Pat: Sequence-to-Pattern Generation Library
- seqdata — Annotated sequence data
- sequentia — Scikit-Learn compatible HMM and DTW based sequence machine learning algorithms in Python.
- seqwho — Rapid and accurate classification of FASTQ(A) sequence files
- serial-mecab — mecab-python3 wrapper for serialization
- serotiny — A framework of tools to structure, configure and drive deep learning projects
- setfitonnx — Package to pack setfit model to onnx format
- sfctl — Azure Service Fabric command line
- sfkit — Some CLI Tools For The Secure Multi-party Genomic Analysis Website
- SfMLearner-installable — Fork of the original SfMLearner with a setup.py file for installation with pip.
- sglearn — Python package for featurizing sgRNAs for machine learning
- shakecore — Shake events locating and focal mechanism analysis
- shallowgibbs-doublebackpropagation — Shallow Gibbs Double Backpropagation
- shap-app — A comprehensive application for interpreting machine learning models using SHAP values
- shapeaxi — Shape Analysis Exploration and Interpretability
- shapflow — a python package to explain ml pipelines
- ship-plasmid — Finds regions with evidence of HGT between plasmids and groups plasmids according to evolutionary dynamics.
- shopcloud-microservice — CLI tool for manage microservices
- short-poetry — no summary
- shortcutml — Machine learning baseline prototyping tools
- sib-clustering — sequential Information Bottleneck
- sibyl-ai — Wrapper for SKLearn Pipeline with Auto ML features
- sidpy — Python utilities for storing, visualizing, and processing Spectroscopic and Imaging Data (SID)
- sifeng — The machine learning quant research framework.
- sigmaepsilon.math — A Python Library for Applied Mathematics in Physical Sciences.
- signialib — Data handling of the IMUs integrated into Signia hearing aids
- sigopt_sklearn — SigOpt + scikit-learn Integrations
- silverware — Additional functionality for BeautifulSoup