Reverse Dependencies of sklearn
The following projects have a declared dependency on sklearn:
- metrictable — Description: metrics for regression and classification
- MF-Helpers — Modeling Factory Utilities
- miceForest — Missing Value Imputation using LightGBM
- Microsoft-AI-Azure-Utility-Samples — Utility Samples for AI Solutions
- microstatistics — A package for micropalaeontological statisics with a Qt5 gui. Launched with microstatistics-start. Requires installation through pip3.
- mihkelBayesian — Machine learning hyperparameter optimiser using the Bayesian model
- minecraft-learns — Machine Learning library for Minecraft Education AI interactions
- MiSDEED — Microbiome Synthetic Data Engine for Experimental Design
- missImputeTS — The function 'missImputeTS' in this package is used to impute timeseries missing values particularly in the case of mixed-type data.It uses a random forest trained on the observed values of a data matrix to predict the missing values. It can be used to impute continuous and/or categorical data including complex interactions and non-linear relations. It can be run in parallel to save computation time.
- mit-news-classify — A news classification tool developed for Improve the News, a project by Max Tegmark
- mklearn — mlkit-learn: lightweight machine learning algorithms for learning.
- mksc — It is used to quickly build a scorecard project and dichotomy model package.
- ml-belt — The machine learning utility belt
- ML-Classification-model-selector-Basavaraj100 — It select best classfication model
- ml-dev-tools — Useful functions for Machine Learning
- ml-model-selection — Library for the selection of machine learning models
- ml-models — This project is based upon basic ml-model testing and building a table.
- ml-ms4alg — Mountainsort v4 for MountainLab
- ml-razor — Tool for minimizing amount of features, while keeping model performance high.
- ml-solutions — A Python Pacakage for Ready Made Machine Learning Solutions.
- ml2rt — Machine learning utilities for model conversion, serialization, loading etc
- MLAC — Code for comparing different machine learning algorithms for binary classification.
- mlads-lukem-fyp — Machine Learning Anomaly Detection System
- Mlassist — Helping Package for creating Machine Learning models
- mlautomator — A fast, simple way to train machine learning algorithms
- mlb-fantasy — MLB fantasy draft optimizer. Requires a draft_picks.txt file with the format: "Player Name: Team 1, Team 2, Team 3, Team 4, Team 5, Team 6" with each player picks on a new line.
- mlbackend — machine learning backend framework
- mlbase — no summary
- mlbee — mlbee cli: a multilingual aligner based on a machine learning model
- mlbench-core — A public and reproducible collection of reference implementations and benchmark suite for distributed machine learning systems.
- mlbugdetection — A package for identify Machine Learning bugs
- mlcf — MLCF - Machine Learning Toolkit for Cryptocurrency Forecasting
- mlcollect — My machine learning collection
- mlcorelib — Provides library for ML
- mlduct — A personal framework for Machine Learning Pipelines.
- mle-training-housing — Training on python packaging and testing
- mle-training-pack — Training on python packaging and testing
- mlflowapi — It is a wrapper function of swapcase.
- mll — A machine learning language that have a specific grammar made to simplify large and complex machine learning and deep learning tasks
- mlm-task-for-contextual-embedding — a machine learning project for mlm task for contextual embedding
- mlmc — Multilevel Monte Carlo method.
- MLOne — A Python package with which users can just drop their dataset and download the best ML model for their dataset
- mlpushkin — Scikit-learn wrapper function library
- mlrose — MLROSe: Machine Learning, Randomized Optimization and Search
- mltb — Machine Learning Tool Box
- mltoolbox — Machine learning toolbox
- MLVRAtests — Set of tools to measure and test for violations of the 1982 Voting Rights Amendment
- mmdet-add — MMDetection Add Toolbox
- mmdet-taeuk4958 — OpenMMLab Detection Toolbox and Benchmark (costomized by taeuk4958 for personal project)
- mmf — mmf: a modular framework for vision and language multimodal research.
- mmfewshot — OpenMMLab FewShot Learning Toolbox and Benchmark
- mmkit — A toolkit for multimodal information processing
- mmkit-features — A multimodal architecture to build multimodal knowledge graphs with flexible multimodal feature extraction and dynamic multimodal concept generation.
- mmsplice — Predict splicing variant effect from VCF
- MobiPy — A library for analyzing user mobility patterns
- mocca — MOCCA (Multivariate Online Contextual Chromatographic Analysis) is an open-source Python project to analyze HPLC–DAD raw data.
- model-arena — A model extension package
- model-one — beyondml
- model-quality-report — This packages enables a quick creation of a report comparing quality of several ML models
- model-vis — An easy and interactive graph visualization tool for ML models!!!
- model-zoo — A framework to help you build model much more easily.
- modelai — A framework to help you build model much more easily.
- ModelAuto — Speed up your model making process. This will help you in selecting best features, best Models (SVM,SVR Random Fotest e.t.c and also in Data Preprocessing
- modeldb-community — A system to manage machine learning models for xgboost pyspark tensorflow sklearn keras
- mofapy — Multi-Omics Factor Analysis
- MOFF — Modular prediction of off-target effects for CRISPR/Cas9 system
- mofreinforce — mofreinforce
- monoloco — A 3D vision library from 2D keypoints
- monstereo — Perceiving Humans: from Monocular 3D Localization to Social Distancing / MonStereo: When Monocular and Stereo Meet at the Tail of 3D Human Localization
- monte-carlo-analysis — Package that analyses the output of a monte-carlo dropout network
- mordl — Morphological parser (POS, lemmata, NER etc.)
- more-node2vec — Utilities for node2vec and gensim
- morf-api — The MOOC Replication Framework Python API
- mosaic-utils — Utils library for Mosaic
- moviesViewEstimator — no summary
- mozi-ai — 墨子AI:军事人工智能领航者, developed by HSFW
- mquad — MQuad - Mixture Modelling for Mitochondrial Mutation detection
- mr-uplift — Machine learning tools for uplift models
- MrSnippets — A complete collection of commonly used code Snippets in Python
- mtspsolvers — mTSP solver
- Multimodal-Keras-Wrapper — Wrapper for Keras with support to easy multimodal data and models loading and handling.
- music-album-creator — A CLI application intending to automate offline music library building
- music-code — Python library for creating music
- musicaiz — A python framework for symbolic music generation, evaluation and analysis
- musicmood — A python library for music recommendation based on mood classification
- mustafapy — GridSearchCV hyperparameters generation
- MutTui — A pipeline to reconstruct mutational spectra for bacterial and viral datasets
- mvneuro — A multiview package for neuroscience
- MVPR — Multi-variable polynomial regression for curve fitting.
- my-nlp — my nlp toolkit
- mydatapreprocessing — Library/framework for making predictions.
- nabo — Python library to perform memory efficient cross-sample cell mapping using single cell transciptomics (scRNA-Seq) data
- Naga-Ml-Model-Apps — This Package is used to Predict house prices in Aus based on house type
- nam — Neural Additive Models (Google Research)
- nam-pt — Neural Additive Models (PyTorch): Intepretable ML with Neural Nets
- name-entity-extraction-for-contextual-embedding — a machine learning project for mlm task for contextual embedding
- nanoforce — Package to import and analyse AFM force curves produced using Nanoscope 6
- napari-filament-annotator — Annotation of filaments / curvilinear structures in 3D
- naturalselection — An all-purpose pythonic genetic algorithm
- nbapredictdaily — A tool to predict the outcome of daily NBA games