Reverse Dependencies of joblib
The following projects have a declared dependency on joblib:
- lohrasb — This versatile tool streamlines hyperparameter optimization in machine learning workflows.It supports a wide range of search methods, from GridSearchCV and RandomizedSearchCVto advanced techniques like OptunaSearchCV, Ray Tune, and Scikit-Learn Tune.Designed to enhance model performance and efficiency, it's suitable for tasks of any scale.
- loktar — ci
- lolc — Python module for detecting password, api keys hashes and any other string that resembles a randomly generated character sequence.
- lolpop — A software engineering framework for machine learning workflows
- lomltk — The lord of Machine Learning toolkits
- longling — This project aims to provide some handy toolkit functions to help construct the architecture.
- LongTermBiosignals — Python library for easy managing and processing of large Long-Term Biosignals.
- lookout-style — Machine learning-based assisted code review - code style analyzers.
- lost-ds — Lost Dataset library
- lotus-nlte — Determine atmospheric stellar parameters in non-LTE
- lova — Lova (Long-term Value Algorithm) is a recommendation algorithm framework focused on long-term value matching.
- lp-Aicloud — this a aicloud
- lpr-pkg — no summary
- lsga — A Genetic Algorithm Framework in Python
- lshashing — Nearest neighbors search using locality-sensitive hashing
- LUBEAT — This package contains several methods for calculating Conditional Average Treatment Effects
- luis1996 — my description
- luisito1996 — my description
- luisito19963 — my description
- luna-nlg — Source code for the LUNA project
- luntaiDs — Make Data Scientist life Easier Tool
- lutar — Lu's Useful Technical Analysis Repository
- Lutil — Assist small-scale machine learning.
- lXtractor — Feature extraction library for sequences and structures
- lytemaps — Lightweight implementation of neuromaps
- LZBEAT — This package contains several methods for calculating Conditional Average Treatment Effects
- lzhw — Compression suite for data frames and tabular data files, csv, excel etc.
- m-phate — m-phate
- m3tl — BERT for Multi-task Learning
- m4-utils — Biblioteca com funções de uso comum em projetos de aprendizado de máquina e ciencia de dados.
- mabfs — Multi armed bandit feature selection
- mabwiser — MABWiser: Parallelizable Contextual Multi-Armed Bandits Library
- machina-rl — machina is a library for a deep reinforcement learning.
- Machine-Learning-Preprocess-CLI — A simple commandline app for searching and looking up opensource vulnerabilities
- machine-learning-with-graph — A comprehensive package for graph-based machine learning algorithms.
- macrometa-target-mssql — Macrometa target connector for writing data into Microsoft SQL Server.
- macrometa-target-oracle — Macrometa target connector for writing data into Oracle DB.
- macrometa-target-postgres — Pipelinewise target for writing data into Postgres.
- macrometa-target-snowflake — Macrometa target for loading data to Snowflake
- MacroRandomForest — Macroeconomic Random Forest by Ryan Lucas (code) and Philippe Goulet Coulombe (method)
- mad-datasets — Helper to access to open-source gait datasets used by MaD-Lab
- mAdvisor — An automated AI/ML solution from Marlabs
- mag-net-hub — MagNet Toolkit - Certified Models of the MagNet Challenge
- mage-ai — Mage - An open-source data management platform that helps you clean data and prepare it for training AI/ML models
- magenta-gpu — Use machine learning to create art and music
- magic-cta-pipe — pipeline for the analysis of joint MAGIC+LST-1 data
- MailClassification — Classify Mail to Cargo or Tonnage
- majora — Majora is a python library that automates common tasks in your exploratory data analysis.
- makeprediction — Automatic and fast Gaussian process for time serie prediction.
- malkit — Malware analysis toolkit for machine learning
- Manifold-Table-Graph — A Python library for creating a graph representation of tabular data using manifold learning techniques and NetworkX.
- manifoldy — A package to generate customizable manifold synthetic datasets.
- manrodri-test-titanic-classification-model — Example Titanic dataset classification model package from Train In Data.
- manydo — Dead-simple parallel execution.
- mapped — Simplification layer for generating pretty maps using geopandas and matplotlib or plotly
- mapyllary — Unofficial Mapillary API
- marine — Marine: Multi-task learning based on Japanese accent estimation
- marvin-python-toolbox — Marvin Python Toolbox
- mass-composition — For managing multi-dimensional mass-composition datasets, supporting weighted mathematical operations and visualisation.
- massdash — massdash
- mat_discover — Data-driven materials discovery based on composition or structure.
- matcalc — Calculators for materials properties from the potential energy surface.
- matrixfuncs — Provides classes for calculating with krylov spaces and matrix functions
- mattds — userful tools for data science projects
- mattflow — A CFD python package for the Shallow Water Equations
- mattli-ds — userful tools for data science projects
- mattutils — userful tools for data science projects
- mayavoz — Deep learning toolkit for speech enhancement
- mazeflow — Mazes games
- mba — Market Basket Analysis.
- MDAnalysis — An object-oriented toolkit to analyze molecular dynamics trajectories.
- mdaux — A package for analyzing molecular dynamics simulations.
- mdciao — mdciao: Analysis of Molecular Dynamics Simulations Using Residue Neighborhoods
- mdml — Application of Deep learning on molecular dymanamics trajectories
- MDP — MDP is a Python library for building complex data processing software by combining widely used machine learning algorithms into pipelines and networks.
- mdparse — Parsing markdown files for deep learning.
- MEArec — Python toolkit for biophysical simulation of extracellular electrophysiology recordings
- mechanoChemML — A machine learning software library for computational materials physics
- med-imagetools — Transparent and reproducible image processing pipelines in Python.
- medifit-fusion-lib — no summary
- MedRoom.AI.Test — A Natural Language Processing Model
- meeg-tools — EEG/MEEG data preprocessing and analyses tools
- meegkit — M/EEG denoising in Python
- meerschaum — Sync Time-Series Pipes with Meerschaum
- MEGNetSparse — no summary
- memo — no summary
- memorizing-transformers-pytorch — Memorizing Transformer - Pytorch
- memorymarker — memorymarker
- menelaus — This library implements algorithms for detecting data drift and concept drift for ML and statistics applications.
- menglingtool-machine-learning — 工业化! yyds
- mentalHealth — This Library tell about your mental health from a sentence. Like are you stressed or not ?
- mercs-mixed — MERCS: Multi-Directional Ensembles of Regression and Classification treeS
- mergeron — Analysis of standards defined in Horizontal Merger Guidelines
- merlin-batch-predictor — Base PySpark application for running Merlin prediction batch job
- merlin-pyfunc-server — Model Server implementation for Merlin PyFunc model
- merlin-sdk — Python SDK for Merlin
- merlinpy-mri — Machine Enhanced Reconstruction Learning and Interpretation Networks (MERLIN) - merlinpy
- mesh2vec — mesh2vec
- mesmerize — Calcium imaging analysis platform
- metabci — A Library of Datasets, Algorithms, and Experiments workflow for Brain-Computer Interface