Reverse Dependencies of joblib

The following projects have a declared dependency on joblib:

• 111752 — malware analysis
• 170051277-trab-final-gces — Pacote utilizado para o deploy do trabalho final da disciplina Gerência de Configuração e Evolução de Software (GCES).
• 1NeuronPerceptron-Pypi-mdnazmulislam0087 — its an implimentation of Perceptron
• 2022-2-gces-ifpf — no summary
• 3lc — 3LC Python Package - A tool for model-guided, interactive data debugging and enhancements
• a-sample-classification-model — sample Classification model package.
• A2G — Accurarate amplicon alignment to gene consensus
• a2grunnerp — A2G Runner for Local Workflow
• a2ml — A powerful API to Automate Machine Learning workflows from multiple vendors.
• abc-tsp — Artificial Bee Colony TSP solver
• abdelrahman-obfuscate — Convo: the AI powered chatbot API 2.0
• abdo — kjdfdlsjlkdfl
• abdo-obfuscate — Obfuscate Convo Test
• abdoconvo — dynamic forms updated
• AbPyTools — Python package for antibody analysis
• ac-segmentation — Segmentation for Axonal Connectomics
• ac_solver — no summary
• accelerometer — A package to extract meaningful health information from large accelerometer datasets e.g. how much time individuals spend in sleep, sedentary behaviour, walking and moderate intensity physical activity
• accelo — no summary
• accessible-space — Implementation of the Dangerous Accessible Space (DAS) passing model for football analytics.
• Accuinsight — Model life cycle and monitoring library in Accuinsight+
• accutuning-helpers — no summary
• acdc-py — A package to quickly identify unbiased graph-based clusterings via parameter optimization in Python
• aced-submission — Populate ACED commons from FHIR resources
• acmenewscollectors-pkg-rioatmadja2018 — Python wheel to collect news articles, videos, and images.
• ACSCeND — A deep learning tool for bulk RNA-seq deconvolution and Stem Cells Sub-Class prediction.
• actinet — Activity detection algorithm compatible with the UK Biobank Accelerometer Dataset
• actipy — Python package to process wearable accelerometer data
• actxps — Create Actuarial Experience Studies: Prepare Data, Summarize Results, and Create Reports
• acutils-python — Data processing library implemented by Acuzle.
• AdeptML — A High-Level PyTorch based Library for Hybrid Physics-Informed Machine Learning Models
• AdonisAI — AdonisAI is python library to build your own AI virtual assistant with natural language processing.
• advanced-data-processing — An advanced data processing pipeline for machine learning workflows
• adversarial-labeller — Sklearn compatiable model instance labelling tool to help validate models in situations involving data drift.
• advertising-locations — Tools for choosing the optimal location of advertising banners for business
• aether-utils — A Python package for use in Aether Incubation projects.
• afd-measures — A collection of measures for Approximate Functional Dependencies in relational data.
• aftool — Asdil Fibrizo's tool
• agentifyme — Framework for building agentic workflows
• agentlab — Main package for developing agents and experiments
• agentpy — Agent-based modeling in Python
• aggmap — Jigsaw-like AggMap: A Robust and Explainable Omics Deep Learning Tool
• AgilisysDailyTenders — Agilisys Tender Alert is a data processing, web scraping, and classification tool focused on tender data. The project uses Playwright to automate web filtering and scraping, then processes and classifies the scraped data using various NLP techniques to retain only relevant tenders.
• agogos — Package that creates the underlying construction of a machine learning pipeline
• ai-flow-nightly — An open source framework that bridges big data and AI.
• ai-python — Microsoft AI Python Package
• ai2-kit — no summary
• aiagents4pharma — AI Agents for drug discovery, drug development, and other pharmaceutical R&D
• aibox-nlp — AiBox Natural Language Processing Toolkit.
• aichatbot — Python library for building custom AI Chatbot with just one line of code.
• aicluster — Um miniframework para facilitar a criação e treinamento de IAs
• aict-tools — Artificial Intelligence for Imaging Atmospheric Cherenkov Telescopes
• aidapy — AI package for heliophysics
• aider-chat — Aider is AI pair programming in your terminal
• aidevlog — Templete of AIDevLog
• aiml-py-common-utils — no summary
• aimlops-sentiment-model — Sentiment Model for assessing sentiment. It is a classification model package
• aio-overpass — Async client for the Overpass API
• aiq-cli — Train classification models from the command line.
• air2waterpy — A python pacakge for running the air2water model
• airball — A package for running and managing flybys using REBOUND
• aironsuit — A model wrapper for automatic model design and visualization purposes.
• airontools — Machine learning tools to complement the AIronSuit package.
• airosentris — A sentiment analysis platform with AI runner and trainer components
• aithamza-regression-model — Example regression model package from Train In Data.
• AITViewer — Viewing and rendering of sequences of 3D data.
• aiverify-blur-corruptions — Part of AI Verify image corruption toolbox. This package includes algorithms that adds blur corruptions (defocus, gaussian, glass, horizontal motion, vertical motion and zoom Blur) to images at 5 severity levels, to test the robustness of machine learning models.
• aiverify-digital-corruptions — Part of AI Verify image corruption toolbox. This package includes algorithms that add digital corruptions (brightness up and down, contrast up and down, compression, random tilt, saturate) to images at 5 severity levels, to test the robustness of machine learning models.
• aiverify-environment-corruptions — Part of AI Verify image corruption toolbox. This package includes algorithms that add environmental corruptions (rain, fog and snow) to images at 5 severity levels, to test the robustness of machine learning models.
• aiverify-fairness-metrics-toolbox-for-classification — AI Verify Fairness Metrics Toolbox (FMT) for Classification contains a list of fairness metrics to measure how resources (e.g. opportunities, food, loan, medical help) are allocated among the demographic groups (e.g. married male, married female) given a set of sensitive feature(s) (e.g. gender, marital status). This plugin is developed for classification models.
• aiverify-fairness-metrics-toolbox-for-regression — AI Verify Fairness Metrics Toolbox (FMT) for Regression contains a list of fairness metrics used to measure how resources (e.g. opportunities, food, loan, medical help) are allocated among the demographic groups (e.g. married male, married female) given a set of sensitive feature(s) (e.g. gender, marital status). This plugin is developed for regression models.
• aiverify-robustness-toolbox — AI Verify Robustness Toolbox generates a perturbed dataset using boundary attack algorithm on the test dataset.
• aiverify-shap-toolbox — AI Verify SHAP Toolbox provides SHAP (SHapley Additive exPlanations) methods to explain the output of machine learning models.
• aiverify-test-engine — AI Verify Test Engine provides core interfaces, converters, data, model and plugin managers to facilitate the development of tests for AI systems. It is used as a base library for all AI Verify official stock-plugins and can be used to develop custom plugins.
• ak-sw-benchmarker — AK_SW_BENCHMARKER that makes it possible to apply different sizing algorithms and allometric yield prediction models to manually labeled color and depth tree images.
• akerbp.mlpet — Package to prepare well log data for ML projects.
• akerbp.models — Machine Learning Models for Petrophysics
• ale-uy — Tool to perform data cleaning, modeling and visualization in a simple way.
• alexflow — ALEXFlow is a python workflow library built for reproducible complex workflow
• alfabet — A library to estimate bond dissociation energies (BDEs) of organic molecules
• algorin-cli — Acceso a GPT-3 y procesamiento de documentos desde la línea de comandos.
• algotom — Data processing algorithms for tomography
• aliopts — A hyperparameter optimization framework
• allowed-ghosts — Daily inspiration for `ALLOWED_HOSTS` values.
• ALP4lib — A module to control Vialux DMDs based on ALP4.X API.It uses the .ddl files provided by Vialux.
• alphacsc — Convolutional dictionary learning for noisy signals.
• alphafold3-pytorch — Alphafold 3 - Pytorch
• alphafold3-pytorch-lightning-hydra — AlphaFold 3 - Pytorch
• alphagens — An event-driven backtesting system
• AltAnalyze3 — AltAnalyze3: Advanced RNA-Seq Analysis Workflow
• ambibulb — Python utility controls the color of RC lights based on the dominant color of an image on your screen.
• ambrosia — A Python library for working with A/B tests.
• ambrozia — A Python library for working with A/B tests.
• ames-model — Trained regression model for the ames dataset
• amira-amr — Amira
• AMIVA-F — no summary
• AMLBID — Transparent and Auto-explainable AutoML
• amof — A python package to analyze Molecular Dynamics (MD) trajectories of amorphous Metal-Organic Frameworks (MOFs).
• Amplo — Fully automated end to end machine learning pipeline
• amsdal_server — Rest API server for AMSDAL framework