Reverse Dependencies of sklearn
The following projects have a declared dependency on sklearn:
- Pyevals — A simple Python Package for Model Evalutaion
- pyfacy — Face Recognition with Machine Learning and Face Clustering
- pyfan — no summary
- PyFLOTRAN — Package to pre-process PFLOTRAN (and other software) files
- pygce — pygce is an unofficial Garmin Connect data exporter.
- pyhydroqc — A package containing functions for anomaly detection and correction of aquatic sensor data.
- pyidw — IDW interpolation library for python
- pykebabs — Easy to use String Kernels for SVM
- pylfi — Likelihood-free inference with Python.
- pymacroms — pyMacroMS - High performance quantification of complex high resolution polymer mass spectra
- pymarlin — Lightweight Deeplearning Library
- pymast — Movement Analysis Software for Telemetry (MAST) for
- pymetheus — Logical Reasoning for Deep Nets
- pymilvus-orm — Python ORM Sdk for Milvus(>= 2.0)
- pymlpipe — PyMLpipe is a Python library for ease Machine Learning Model monitering and Deployment.
- pyMRA — Multi-resolution approximation for spatial Gaussian processes
- Pyomic — A python framework library for omics analysis
- pypart — Couples pipeline transformers with their parameters for easier reuse of transformers
- pypbp — A python package for predicting insect outbreaks based on the Pattern Based Prediction method
- PypeLearn — A pipeline library for testing and validating time series data
- pyplearnr — Pyplearnr is a tool designed to easily and more elegantly build, validate (nested k-fold cross-validation), and test scikit-learn pipelines.
- pypreproc — PyPreProc is a Python package for correcting, converting, clustering and creating data in Pandas as part of the feature engineering step of the machine learning process.
- pyprotoclust — Hierarchical clustering using minimax linkage.
- Pypsy — Electrodermal activity processing and analysis
- pypupil — Eye tracker (Pupil-labs) helper in Python3
- pyqcore — Library by QuantumCore: Revolutionary ML Company
- pyquickmaps — A slim python library to link (seafloor) maps and sampling data with prediction methods. Needs scipy, numpy, matplotlib, pykrige, osgeo, rasterio.
- pyrankability — Ranking Python Library
- pyRecommenderSystem — A Recommender System Python Library
- pyrmle — Python package for implementing Regularized Maximum Likelihood for Random Coefficient Models
- pyrobolearn — A Python framework for roboticists and machine learning practitioners
- pyscnet — A tool for reconstructing and analyzing gene regulatory network from single-cell RNA-Seq data
- PySDMs — An object-oriented class for semi-Auto ML for geospatial classification tasks.
- pysemantics — NLP client for python
- pyseries — pySeries is a package for statistical analysis of time-series data.
- pysimulate — AI Track Simulator is an easy-to-use Simulator engine built in pygame
- pySmartKD — Functions to analyze and plot geochemical data and to predict distribution coefficients
- PYSNN — Framework for engineering and simulating spiking neural networks, built on top of PyTorch.
- pyspark-dbscan — An "Efficient" Implementation of DBSCAN on PySpark
- pyspectools — A set of Python tools/routines for spectroscopy
- pysurvival — Open source package for Survival Analysis modeling
- pysvm — PySVM : A NumPy implementation of SVM based on SMO algorithm
- PyTcgpr — Tree-Classifier for gaussian process model (TCGPR) is a data preprocessing algorithm based on the Gaussian correlation among data.
- python-deepdialog — DeepDialog is a lightweight library for deep generative dialogue models.
- python-roc — ROC curve visualization tool
- python-storage-timeline-ta-indicators — Tool to calculate technical analysis indicators in a continuous time series data
- Python-video-annotator — no summary
- python-vtag — Semi-Supervised Top-View Animal Tracking
- pytorch-optimize — Package to train pytorch models for non-differentiable objectives
- pytwoway-pkg — Two way fixed effect models in python
- pyunit-newword — 新词发现算法
- pywapor-test — no summary
- pywinEA — Package with basic implementations of mono and multi-objective genetic algorithms for feature selection.
- qaboard — Visualize and compare algorithm results. Optimize parameters. Share results and track progress.
- qanom — package for Question-Answer driven Semantic Role Labeling for Nominalizations (QANom)
- qmodel — package to create a Random Forest Classifier model, to read 7segments display from images
- qs-kpa — Quantitative Summarization – Key Point Analysis
- quant-risk — Quantitative functions in Python
- quantlet.ml — QuantLET-ml - machine learning extensions
- quantools — 个人的量化指标计算与回测的工具库
- QuantRiskBookTools — Description of your package
- quantumics — Library for processor agnostic quantum-classical data science and artificial intelligence
- quica — Quick Inter Coder Agreement in Python
- quick-topic — A toolkit to quickly analyze topic models using various methods
- quickpanda-aidroid — quick analysis and dataanalysis pipleline
- qurator-sbb-tools — Qurator
- qwgc — Graph classifier based on quantum walk
- radtorch — RADTorch, The Radiology Machine Learning Tool Kit
- randomForestRules-lukassykora — Random forest classification rules mining package
- rankcomp — high fided extraction of differential expression genes without considering the batch effects
- rankmetrics — Calculate various metrics relevant for learning to rank algorithms.
- ranktreeEnsemble — Fast computing an ensemble of rank-based trees via boosting or random forest on binary and multi-class problems. It converts continuous gene expression profiles into ranked gene pairs, for which the variable importance indices are computed and adopted for dimension reduction.
- rasterMiner — This software is being developed at the University of Aizu, Aizu-Wakamatsu, Fukushima, Japan
- ratvec — Generating dense embeddings for proteins using kernel PCA
- raylab — Reinforcement learning algorithms in RLlib and PyTorch.
- raymon — Python package for data logging and monitoring.
- rcmf — A risk control modeling toolbox, include scattered function for building scorecard/machine learn model.
- rda-package — rhythmic data analysis package
- Rdom — A collection of random projects in Python.
- rdv — Raymon Data Validation Package.
- reachy-pyluos-hal — Reachy hardware library controller
- recombat — regularised ComBat method to correct batch effects
- recommendation — Provide recommendations in Wikimedia projects
- reeses — <_io.TextIOWrapper name='README.md' mode='r' encoding='UTF-8'>
- RefactoringIdioms — code refactorings with Python idioms
- refy — A scientific papers recomendation tool.
- region — Package offering regionalization algorithms
- regrez — Easiest way to implement linear regression.
- regsnp-intron — Predict disease-causing probability of human intronic SNVs.
- regulus — Regulus
- reinventing-catastrophe-modelling — no summary
- ReLU-nueral-network — A Python package for direct implementation of ReLU network.
- ReLUs — A Python package for direct implementation of ReLU network.
- remoteService — Remote Service Package
- renn — Research tools for Reverse Engineering Neural Networks (RENN).
- ResPAN — A light structured residual autoencoder and mutual nearest neighbor paring guided adversarial network for scRNA-seq batch correction.
- revcorml — tools to probe machine learning classifiers with noise, bubbles and reverse correlation
- ReverseEncodingTree — library for the Reverse Encoding Tree
- rexmex — A General Purpose Recommender Metrics Library for Fair Evaluation.
- rf-perm-feat-import — Random Forest Permutate Feature Importance