Projects
- skivvy — A simple tool for testing JSON/HTTP APIs
- skjold — Security audit Python project dependencies against security advisory databases.
- skjupyterlab — no summary
- skkdictutils — SKK dictionary utility functions
- skl-graph — SKeLeton Graph
- skl2onnx — Convert scikit-learn models to ONNX
- skland — 森空岛Python请求库
- sklarpy — Copula, Multivariate and Univariate probability distribution fitting in Python.
- skleanr — The sklearn module, often referred to as scikit-learn, is a widely-used Python library for machine learning. It offers a comprehensive set of tools and algorithms for various machine learning tasks, including classification, regression, clustering, dimensionality reduction, model evaluation, data preprocessing, and more.
- sklearn-alchemy — sklearn alchemy
- sklearn-ann — Various integrations for ANN (Approximate Nearest Neighbours) libraries into scikit-learn.
- sklearn-contrib-lightning — Large-scale sparse linear classification, regression and ranking in Python
- sklearn-contrib-py-earth — A Python implementation of Jerome Friedman's Multivariate Adaptive Regression Splines.
- sklearn-crfsuite — CRFsuite (python-crfsuite) wrapper which provides interface simlar to scikit-learn
- sklearn-cv-pandas — RandomizedSearchCV/GridSearchCV with pandas.DataFrame interface
- sklearn-deap — Use evolutionary algorithms instead of gridsearch in scikit-learn.
- sklearn-deap2 — Use evolutionary algorithms instead of gridsearch in scikit-learn.
- sklearn-deltatfidf — DeltaTfidfVectorizer for scikit-learn
- sklearn-discretefirstorder — A scikit-learn compatible discrete first-order method for subset selection.
- sklearn-ensemble-cv — sklearn_ensemble_cv is a Python module for performing accurate and efficient ensemble cross-validation methods.
- sklearn-esa — An ESA implementation in python.
- sklearn-evaluation — scikit-learn model evaluation made easy: plots, tables andmarkdown reports.
- sklearn-ex — self defined functions for sklearn
- sklearn-export — Export sklearn models to Json.
- sklearn-features — Helpful tools for building feature extraction pipelines with scikit-learn
- sklearn-fluent — Linear/Multli Regression Mathematical Function in one line of code
- sklearn-fuzzy — `sklearn_fuzzy` is a fork from `scikit-fuzzy` package with sklearn-ish methods.
- sklearn-genetic — Genetic feature selection module for scikit-learn
- sklearn-genetic-opt — Scikit-lean models hyperparameters tuning, using evolutionary algorithms
- sklearn-instrumentation — scikit-learn instrumentation tooling
- sklearn-jax-kernels — Composable kernels for scikit-learn implemented in JAX.
- sklearn-json — A safe, transparent way to share and deploy scikit-learn models.
- sklearn-keras — no summary
- sklearn-linear-model-modification — Wraps sklearn linear_model regression functions to allow Drop1, Add1, and VIF calculations
- sklearn-lmer — Scikit-learn estimator wrappers for pymer4 wrapped LME4 mixed effects models
- sklearn-lvq — Scikit-Learn compatible Generalized Learning Vector Quantization (GLVQ) and Robust Soft Learning Vector Quantization implementation.
- sklearn-mlmlm — A python and sklearn compatible implementation of ML-MLM.
- sklearn-model — Export scikit-learn models into JSON for Inference.
- sklearn-nature-inspired-algorithms — Search using nature inspired algorithms over specified parameter values for an sklearn estimator.
- sklearn-numba-dpex — Computational Engine for scikit-learn based on numba-dpex
- sklearn-pandas — Pandas integration with sklearn
- sklearn-pandas-transformers — A Package to use pandas DataFrame in sklearn pipeline. And others useful works to use sklearn pipeline in non usual way.
- sklearn-plus — A set of python modules for Natural Language Processing
- sklearn-pmml-model — A library to parse PMML models into Scikit-learn estimators.
- sklearn-porter — Transpile trained scikit-learn models to C, Java, JavaScript and others.
- sklearn.preprocessing — no summary
- sklearn-quantile — no summary
- sklearn-ranking — This package is used for recommendation system
- sklearn-relief — Implementation of the Relief family of algorithms for feature ranking
- sklearn-rvm — An scikit-learn style implementation of Relevance Vector Machines (RVM).
- sklearn-sequence-classifiers — Sequence classifiers for scikit-learn
- sklearn-sfa — A scikit-learn compatible implementation of Slow Feature Analysis
- sklearn-som — A simple planar self organizing map
- sklearn-to-pfa — Convert scikit-learn models to PFA
- sklearn-tournament — Higher level controlls for searching (a collection of) sklearn models for best parameters.
- sklearn-transformer-extensions — Some scikit-learn transformer extensions to make using pandas dataframes in scikit-learn pipelines easier.
- sklearn-ts — Package for time series forecasting
- sklearn-utilities — Utilities for scikit-learn.
- sklearn-utils-turtle — no summary
- sklearn-viz — no summary
- sklearn-yu-tensorflow-jiqi-xuexi-shiyong-zhinan-zhongwenban-2018-6-20 — no summary
- sklearn01 — A small example package
- sklearn2 — small scikit-learn extension
- sklearn2excel — A Python package to facilitate Scikit-learn decision tree export to Excel.
- sklearn2json — Python library for converting Scikit-Learn models to JSON.
- sklearn3 — AIML Programms
- sklearn4x — Packages sklearn models into a binary archive to be used in other languages.
- sklearndf — Data frame support and feature traceability for `scikit-learn`.
- sklearnFunctions — module built on needy sklearn preprocessing functions
- sklearnn — Image kernel.
- sklearnpy — A small example package
- sklearnreg — a library importing all the classes of regression
- sklearnsk — A wrapper for sklearn, that makes it easier to write, tune and evaluate classification and regression systems
- skleern — sample
- sklego — a collection of lego bricks for scikit-learn pipelines
- sklik — Python Sklik API (unofficial)
- sklite — Use Scikit Learn models in Flutter
- skll — SciKit-Learn Laboratory makes it easier to run machine learning experiments with scikit-learn.
- SKLMisc — Miscellaneous code associated with SKLearn.
- SKLOverlay — SKLearn Classification Interface
- sklPCA — Supervised Kernel-Based Longitudinal PCA (skl-PCA)
- SklTransformer — no summary
- sklvq — A collection of Learning Vector Quantization algorithms compatible with scikit-learn
- skm — Sanskritayam to Python translator
- skm-tea — A package for interacting with, visualizing, and benchmarking the SKM-TEA dataset
- skmatter — A collection of scikit-learn compatible utilities that implement methods born out of the materials science and chemistry communities.
- skmCalc — simple calculator
- skmetpy — Descripción del paquete
- skmixed — no summary
- skmtpy — Descripción del paquete
- skmultichannel — multichannel machine learning library with in-pipeline automation
- skn-django-jazzmin — Drop-in theme for django admin, that utilises AdminLTE 3 & Bootstrap 4 to make yo' admin look jazzy
- skn-drf-cli — Django Rest Framework command-line tools
- sknlp — no summary
- sknni — Spherical k-nearest neighbors interpolation
- sknnr — Scikit-learn estimators for kNN regression methods
- sknotebook — no summary
- sknrf-core — no summary
- sknw — Analysis of object skeletons
- sko — Swarm Intelligence in Python