batchflow by analysiscenter

BatchFlow helps you conveniently work with random or sequential batches of your data and define data processing and machine learning workflows even for datasets that do not fit into memory.

created at March 13, 2017, 2:22 p.m.

Python

17 +0

201 +0

46 +0

GitHub
adaptive by python-adaptive

chart with upwards trend Adaptive: parallel active learning of mathematical functions

created at Dec. 10, 2017, 1:47 a.m.

Python

17 +0

1,164 +0

60 +0

GitHub
Yaafe by Yaafe

Audio features extraction

created at June 27, 2013, 3:21 p.m.

C++

17 +0

244 +0

43 +0

GitHub
hamilton by DAGWorks-Inc

Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does.

created at Feb. 23, 2023, 5:16 p.m.

Jupyter Notebook

17 +1

1,864 +9

124 +1

GitHub
pycma by CMA-ES

Python implementation of CMA-ES

created at Sept. 22, 2016, 1:55 p.m.

Jupyter Notebook

16 +0

1,109 +2

179 +1

GitHub
BoostARoota by chasedehan

A fast xgboost feature selection algorithm

created at Aug. 23, 2017, 9:43 p.m.

Python

16 +0

219 +0

38 +0

GitHub
recmetrics by statisticianinstilettos

A library of metrics for evaluating recommender systems

created at Oct. 15, 2018, 3:29 p.m.

Jupyter Notebook

15 +0

569 +1

99 +1

GitHub
scikit-rvm by JamesRitchie

Relevance Vector Machine implementation using the scikit-learn API.

created at Aug. 2, 2015, 4:04 p.m.

Python

14 +0

231 +1

73 +0

GitHub
muda by bmcfee

A library for augmenting annotated audio data

created at Nov. 7, 2014, 9:21 p.m.

Python

14 +0

233 +0

33 +0

GitHub
pystan by stan-dev

PyStan, a Python interface to Stan, a platform for statistical modeling. Documentation: https://pystan.readthedocs.io

created at May 24, 2013, 1:21 a.m.

Python

14 +0

342 +0

59 +0

GitHub
CapsNet-Visualization by bourdakos1

🎆 A visualization of the CapsNet layers to better understand how it works

created at Jan. 19, 2018, 8:46 p.m.

Python

13 +0

394 +1

93 +0

GitHub
scikit-mdr by EpistasisLab

A sklearn-compatible Python implementation of Multifactor Dimensionality Reduction (MDR) for feature construction.

created at June 7, 2016, 5:49 p.m.

Python

13 +0

126 +0

26 +0

GitHub
traceml by polyaxon

Engine for ML/Data tracking, visualization, explainability, drift detection, and dashboards for Polyaxon.

created at March 25, 2016, 9:59 p.m.

Python

13 +0

504 +0

43 +0

GitHub
imbalanced-algorithms by dialnd

Python-based implementations of algorithms for learning on imbalanced data.

created at Aug. 24, 2016, 8:59 p.m.

Python

13 +0

235 +0

100 +0

GitHub
themis-ml by cosmicBboy

A library that implements fairness-aware machine learning algorithms

created at Aug. 26, 2017, 8:15 p.m.

Jupyter Notebook

12 +0

124 +0

26 +0

GitHub
bayesloop by christophmark

Probabilistic programming framework that facilitates objective model selection for time-varying parameter models.

created at Aug. 27, 2015, 8:11 a.m.

Python

12 +0

153 +0

27 +0

GitHub
numdifftools by pbrod

Solve automatic numerical differentiation problems in one or more variables.

created at March 12, 2014, 5:31 p.m.

Python

12 +0

256 +1

44 +0

GitHub
mlforecast by Nixtla

Scalable machine 🤖 learning for time series forecasting.

created at April 26, 2021, 8:58 p.m.

Python

12 +0

899 +7

88 +0

GitHub
sklearn-genetic by manuel-calzolari

Genetic feature selection module for scikit-learn

created at June 9, 2016, 3:19 p.m.

Python

12 +0

323 -1

77 +0

GitHub
Solid by 100

🎯 A comprehensive gradient-free optimization framework written in Python

created at June 12, 2017, 5:02 a.m.

Python

12 +0

576 +0

64 +0

GitHub