pyMorfologik by dmirecki

None

updated at Dec. 29, 2021, 2:20 p.m.

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skl-groups by dougalsutherland

scikit-learn addon to operate on set/"group"-based features

updated at April 6, 2022, 5:34 a.m.

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sklearn-random-bits-forest by tmadl

Scikit-learn compatible wrapper of the Random Bits Forest program written by (Wang et al., 2016)

updated at Oct. 13, 2023, 5:01 p.m.

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sklearn-evaluation by edublancas

Machine learning model evaluation made easy: plots, tables, HTML reports, experiment tracking and Jupyter notebook analysis.

updated at Jan. 1, 2024, 9:42 p.m.

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stacked_generalization by fukatani

Library for machine learning stacking generalization.

updated at Jan. 8, 2024, 2:06 p.m.

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tensorlight by bsautermeister

TensorLight - A high-level framework for TensorFlow

updated at Feb. 22, 2024, 2:49 a.m.

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catalyst-rl by catalyst-team

None

updated at March 9, 2024, 1 p.m.

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xpandas by alan-turing-institute

Universal 1d/2d data containers with Transformers functionality for data analysis.

updated at March 15, 2024, 9:16 a.m.

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NitroFE by NITRO-AI

NitroFE is a Python feature engineering engine which provides a variety of modules designed to internally save past dependent values for providing continuous calculation.

updated at March 18, 2024, 9:38 a.m.

4 +0

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sk-transformers by chrislemke

A collection of pandas & scikit-learn compatible transformers for preprocessing and feature engineering 🛠

updated at April 18, 2024, 8:08 a.m.

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sigopt-sklearn by sigopt

SigOpt wrappers for scikit-learn methods

updated at April 29, 2024, 9:26 p.m.

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pandas-log by eyaltrabelsi

The goal of pandas-log is to provide feedback about basic pandas operations. It provides simple wrapper functions for the most common functions that add additional logs

updated at May 1, 2024, 3:55 a.m.

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mxnet by ROCm

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

updated at May 19, 2024, 6:27 a.m.

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prodmodel by prodmodel

Build, test, deploy, iterate - Dev and prod tool for data science pipelines

updated at May 28, 2024, 3:16 p.m.

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skift by shaypal5

scikit-learn wrappers for Python fastText.

updated at July 1, 2024, 7:43 a.m.

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themis-ml by cosmicBboy

A library that implements fairness-aware machine learning algorithms

updated at July 3, 2024, 4:26 a.m.

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dovpanda by dovpanda-dev

Directions overlay for working with pandas in an analysis environment

updated at July 8, 2024, 7:18 p.m.

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Solid by 100

🎯 A comprehensive gradient-free optimization framework written in Python

updated at July 15, 2024, 8:26 p.m.

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GPflowOpt by GPflow

Bayesian Optimization using GPflow

updated at July 22, 2024, 5:14 a.m.

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liquidSVM by liquidSVM

Support vector machines (SVMs) and related kernel-based learning algorithms are a well-known class of machine learning algorithms, for non-parametric classification and regression. liquidSVM is an implementation of SVMs whose key features are: fully integrated hyper-parameter selection, extreme speed on both small and large data sets, full flexibility for experts, and inclusion of a variety of different learning scenarios: multi-class classification, ROC, and Neyman-Pearson learning, and least-squares, quantile, and expectile regression.

updated at Aug. 18, 2024, 4:46 p.m.

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