Reverse Dependencies of joblib
The following projects have a declared dependency on joblib:
- bayes-optim — A Bayesian Optimization Library
- bayes-splicing — Bayesian fit of splicing models with applications to insurance loss data
- bayesian-cut — An implementation of bayesian cut methods
- bayesim — Fast model fitting via Bayesian inference
- bayesKMeans — Finding optimal k in k-means using bayesian optimization
- bayesvalidrox — An open-source, object-oriented Python package for surrogate-assisted Bayesain Validation of computational models.
- bbox-utility — BBox Utility for Object Detection & Instance Segmentation. https://github.com/awsaf49/bbox
- bci-essentials — Python backend for bci-essentials
- bcml4pheno — Library for conducting, evaluating, and visualizing binary classification machine learning models for physics phenomenology.
- BCN — Boosted Configuration Networks
- bdd100k — BDD100K Dataset Toolkit
- beamprofiler — BeamProfiler is a Python package for laser beam analysis and characterization according to ISO 13694, ISO 11145, and other non-ISO definitions commonly used in the industry.
- Beat-ML1 — This package contains several methods for calculating Conditional Average Treatment Effects
- BEAT-TEST — This package contains several methods for calculating Conditional Average Treatment Effects
- BEATAALU — This package contains several methods for calculating Conditional Average Treatment Effects
- beatles-chords-markov-chain — A package containing a Markov Chain trained to generate chord progressions.
- BeeHiveOptimization — Implementation of beehive method (particle swarm optimization) for global optimization of multidimentional functions
- beexai — BEExAI: Benchmark to Evaluate Explainable AI
- bencheval — Tools for measuring sensitivity and diversity of multi-task benchmarks.
- benchllama — Benchmark your local LLMs.
- benchopt — Benchmark toolkit for optimization
- bert-embeddings — Create positional embeddings based on TinyBERT or similar bert models
- bert-multitask-learning — BERT for Multi-task Learning
- berteley — Topic modeling for scientific articles
- besos — A library for Building and Energy Simulation, Optimization and Surrogate-modelling
- betbot — A betting bot for bundesliga-tippspiel
- better-dict — Python dictionary revamped.
- bf-nlu — no summary
- bf-nlu-banki — no summary
- BGlib — Band Excitation and General Mode analysis and visualization codes
- bgnet — bgnet
- bhousing-model — Boston Housing model package.
- bicleaner — Parallel corpus classifier, indicating the likelihood of a pair of sentences being mutual translations or not
- bicleaner-ai — Parallel corpus classifier, indicating the likelihood of a pair of sentences being mutual translations or not (neural version)
- bicleaner-hardrules — Pre-filtering step for obvious noise based on rules, poor language based on general language modelling and vulgar language based on specific language modelling
- bike-rental-package — IISc Projects
- bikeshare-model — Bikeshare dataset regression model package
- binning — feature bin
- bioinf-common — Aggregation of functionalities needed in multiple projects
- biopsykit — A Python package for the analysis of biopsychological data.
- biosppy — A toolbox for biosignal processing written in Python.
- biquality-learn — biquality-learn is a library à la scikit-learn for Biquality Learning.
- bitfount — Machine Learning and Federated Learning Library.
- bixai — Package that makes it a bit easier to understand some complex models and helps you visualize them
- black-it — black-it: Black-box abm calibration kit
- BLADE-Deconvolution — BLADE (Bayesian Log-normAl DEconvolution)
- blechpy — Package for exrtacting, processing and analyzing Intan and OpenEphys data
- bleepy-profanity-check — A fast, robust library to check for offensive language in strings. This version of "profanity-check" is used by Bleepy.
- bletl — Package for parsing and transforming BioLector raw data.
- blitzml — A low-code library for machine learning pipelines
- bliz — Utilities for dataframes
- Blobber — A cathode spot motion detection & analysis program
- blobcity — Python based framework for Automatic AI for Regression and Classification over numerical data. Performs model search, hyper-parameter tuning, and high-quality Jupyter Notebook code generation.
- blueetl-core — Core transformations for BlueETL
- bluemist — Bluemist AI is a low code machine learning library written in Python to develop, evaluate and deploy automated ML pipleines.
- blueskysocial — API for BlueSky social network
- blurhashify — Generate BlurHash images from an existing image.
- bmiptools — BioMaterial Image Processing tools (bmiptools) is a python library of functions for image processing of certain type of biological images (e.g. FIB-SEM, Back-scattering, ecc... ). The library is equipped with a minimal GUI thought for non-expert users.
- bmmltools — BioMaterial Machine Learning tools (bmmltools), package to do machine learning with large binary 3d images
- bol-library — Speech to Text Library for Indic Languages
- boldigger — A python package to query different databases of boldsystems.org
- bolero-process — Data preprocessing for bolero package
- bondai — An AI-powered console assistant with a versatile API for seamless integration into applications.
- book-recommender — Example recommender system for books.
- boots — A tiny statistical bootstraping library.
- bootstrap-resample — Bootstrap resampling class for Pandas.DataFrames
- boridge — A library of functions for selecting features using bootstrapped ridge regression
- bp-neurotools — General helper functions for working with neuroimaging data.
- bpnet — BPNet: toolkit to learn motif synthax from high-resolution functional genomics data using convolutional neural networks
- bpnet-lite — bpnet-lite is a minimal implementation of BPNet, a neural network aimed at interpreting regulatory activity of the genome.
- brain-pred-toolbox — The Brain Predictability toolbox (BPt) is a Python based machine learning library designed to work with a range of neuroimaging data. Warning: Not actively maintained as of 11/30/22.
- Braindecode — Deep learning software to decode EEG, ECG or MEG signals
- Brainfeatures — A toolbox to decode raw time-domain EEG using features.
- brainsmash — Brain Surrogate Maps with Autocorrelated Spatial Heterogeneity.
- brainweb-dl — Download BrainWeb MRI data
- brighteyes-ism — A toolbox for analysing and simulating ISM images
- BSenti — BSenti: Sentiment Classification Library
- bucky-covid — The Bucky model is a spatial SEIR model for simulating COVID-19 at the county level.
- budget-constrained-CB — Constrained Contextual Bandits for Personalized Recommendation
- building-controller-forecast — Building controller forecasting lib
- burnt-ends — A Python package containing modular, well-tested, utility and statistical functions handy for scientific computing and analysis.
- BVLain — The Bond valence site energy calculator
- bw_plex — Skip intros.
- byron — Multi-purpose extensible self-adaptive optimizer and fuzzer
- c8-target-postgres — Pipelinewise target for writing data into Postgres.
- cache.py — cacheing
- cached-historical-data-fetcher — Python utility for fetching any historical data using caching.
- CacheML — Cache ML -- layer on top of joblib to cache parsed datasets, dramatically reducing load time of large data files. Also supports encryption at rest.
- cachesql — Fast, resilient and reproducible data analysis with cached SQL queries
- cacp — no summary
- Cad-usd-forecast-model — Model for forecasting CAD-USD exchange price.
- CADET-Process — A Framework for Modelling and Optimizing Advanced Chromatographic Processes
- CADETMatch — CADETMatch is a parameter estimation and error modeling library for CADET
- cagged — no summary
- CAlearn — Genetic Programming in Python, with a scikit-learn inspired API. Generating corresponding rule formula from given Cellular Automaton.
- CalSciPy — A toolbox for analyzing, designing, and visualizing multiphoton imaging & optogenetics experiments.
- camzis-classification-model — Example classification model package from Titanic dataset.
- canalyst-candas — The official Canalyst Software Development Kit (SDK) for our public API
- cando-py — CANDO is a unique computational drug discovery, design, and repurposing platform.
- car-price-regression-model — regression model package from Train In Data.