Reverse Dependencies of sklearn

The following projects have a declared dependency on sklearn:

• a2grunnerp — A2G Runner for Local Workflow
• AA-module — Module for performing various archetypal analyses.
• abcpy — A framework for approximate Bayesian computation (ABC) that speeds up inference by parallelizing computation on single computers or whole clusters.
• abstractMLBaseModelTask — Abstract Machine learning base model with analysis
• acmecontentcollectors-pkg-rioatmadja2018 — Python wheel to collect data about the Islamic Recruitments.
• actuarydesk — Tools for actuary to model and analyze simple products or for actuarial students to practice.
• adapted-NERDA — A Framework for Finetuning Transformers for Named-Entity Recognition
• adatasets — utils datasets
• admission-prediction-model — A sample model to predict your chances of admission in graduate universities
• advanced-radiomics — Advanced Radiomics Functions.
• adversarial-labeller — Sklearn compatiable model instance labelling tool to help validate models in situations involving data drift.
• aepsych — Adaptive experimetation for psychophysics
• AFR — Statistical toolkit aimed to help statisticians, data analysts, data scientists, bankers and other professionals to analyze financial data
• AgricolAI — AI Module for Agricultural application
• ai-utils — Utilities to be used with Tensorflow and Keras for AI techniques
• aiap-model — Example classification model package from AIAP assessment.
• aifeynman — AI Feynman: a Physics-Inspired Method for Symbolic Regression
• AiJunebot — aijunebot
• ailearn — A lightweight package for artificial intelligence
• aisimplekit — Simple lib for various machine learning and AI tasks.
• aiuna — Science as data transformation
• akshat-preprocessing — Data Preprocessing for Model Building
• aladin — Analysis of large-dimensional data in neuroscience
• alcoholic-tfe22540 — Framework of my master thesis on the effect of withdrawal on the white matter of alcoholic patients using dMRI data.
• alien-ink — Alien Ink - a personal machine learning toolkit
• all-in-1-sathishbilli — this is a basic function for machine learning
• altility — Enhanced spatio-temporal predictions using less data with active deep learning
• alto-anomaly-detection — no summary
• amaazetools — Python package for mesh processing tools developed by AMAAZE
• analise-rasa-plots — create boring and fast plots
• analyzefit — Performs analysis of the fit of a model.
• ananse — A python package to partially automate search term selection and writing search strategies for systematic reviews
• andi-datasets — Generate, manage and analyze anomalous diffusion trajectories.
• animalk — Please describe this
• anoapycore — Anoa Python Core Package
• anoens — Companion Module to my Paper "Evaluating and Comparing Heterogeneous Ensemble Methods for Unsupervised Anomaly Detection" (2023, IJCNN). Provides method to combine the scores of multiple anomaly detectors into an ensemble.
• antspymm — multi-channel/time-series medical image processing with antspyx
• apacepy — Analytical Platform for Adaptive Control of Epidemics (APACE)
• apdt — apdt
• APGD — Accelerated Proximal Gradient Descent (APGD) algorithm to solve the penalized regression models
• approxposterior — Gaussian Process Approximation to Posterior Distributions
• AR-NLP-TopicModling — Topic modling package
• araucanaxai — A novel approach for generating explanations of the predictions of a generic ML model
• arbok — A wrapper toolbox that provides compatibility layers between TPOT and Auto-Sklearn and OpenML
• argminer — A package for processing SOTA argument mining datasets
• arianna — Replica Exchange Slice Sampling
• arima-model-selection — AUTOCALCULATE P,q,R
• arimafd — Build librarry
• arrp-dataset — Simple python tool to create dataset for arrps.
• art-fid — ArtFID: Quantitative Evaluation of Neural Style Transfer
• artificial-detection — Python framework for artificial text detection with NLP approaches.
• artificial-neural-network-model-automation — This repository is for automating artificial neural network model creation with tabular data using Keras framework.
• as-seg — Package for the segmentation of autosimilarity matrices.
• asia-ds1-toolbox — Toolbox for Asia data science challenge
• asrassessment — Provides Phoneme Error Rate & Visualisation Assessment
• asreview-hyperopt — Hyper parameter optimization extension for ASReview
• assesspy — General purpose Python package for measuring assessment performance
• assistant-chat-check — gensim生成モデルの評価
• astir — no summary
• atlantis — Python library for simplifying data science
• atom2vec — A python implement of Atom2Vec: a simple way to describe atoms for machine learning
• AttentionOdorify — Attention based BiLSTM model for Olfactory Analysis
• audit-AI — audit-AI detects demographic differences in the output of machine learning models or other assessments
• auglichem — Data augmentation of molecules and crystals.
• auquan-coursera-toolbox — Toolbox as a supplement to Google's course on Coursera
• auquan-eic1-toolbox — Toolbox for QQ14
• auquan-qq1-toolbox — Toolbox for QQ3
• auquan-qq14-toolbox — Toolbox for QQ14
• auquan-toolbox — Auquan Toolbox for developing strategies and backtesting
• auquan-toolbox-beta — Auquan Toolbox for developing strategies and backtesting
• aursad — Accompanying library to the AURSAD dataset
• auto-aiml — Creates a best predictive regression/classification model
• auto-dl — test
• auto-genetic — a package for automatic hyperparameter tuning or feature selection, using a genetic algorithm
• auto-modelling — A light package for automatic model tuning and stacking
• auto-snorkel — An open source toolkit for automatically generating labeling functions by language model.
• autoads-test — Easy to use Ads library
• autoballs — Python package for segmentation of axons and morphological analysis.
• AutoBrewML — With AutoBrewML Framework the time it takes to get production-ready ML models with great ease and efficiency highly accelerates.
• AutoClassifierRegressor — Tools for getting analysis of all classifiers and regressors
• autocluster — Automated machine learning toolkit for performing clustering tasks.
• automl-lib — automl fm dnn deepFM in config file
• autonn — Configurable deep neural networks for neural architecture searchand hyper-parameter tuning; Cloud deployment of DNN models
• autooptimizer — AutoOptimizer is a python package for optimize machine learning algorithms.
• autoregressor — Automated entire process of building and training regression based models
• autoreview — Library for ranking relevant papers based on a set of seed papers
• auviewer — A general-purpose time series exploration & annotation tool.
• avatarpy — avatar analysis module
• avici — Amortized Inference for Causal Structure Learning
• axelerate — Keras-based framework for AI on the Edge
• axisproj — Axis-Aligned Decomposition of Linear Projections.
• axon-velocity — Python package to reconstruct axonal branches from high-density micro-electrode array data
• b4rpipe — Pipeline reduction tools for B4R (2mm heterodyne reciver) on LMT 50m @Mexico
• baccoemu — Matter power spectrum emulator
• BackgroundVellore — Predict the Genre for each 10-second interval of the video.
• backtester — A backtesting for timeseries data in a pandas dataframe
• barmuscomp — Package for barwise compression applied on musical segmentation.
• bartpy — Bayesian Additive Regression Trees for Python
• basic-functions — very basic functions for data pre-processing and visualization
• basictwitternlp — Scrape Twitter based off query and runs NLTK vader and cos similarity model