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

13 +0

316 +1

58 +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

16 +0

1,114 +1

58 +0

GitHub
dplython by dodger487

dplyr for python

created at Feb. 23, 2016, 12:21 a.m.

Python

35 +0

762 +0

58 +0

GitHub
karoo_gp by kstaats

A Genetic Programming platform for Python with TensorFlow for wicked-fast CPU and GPU support.

created at Oct. 22, 2015, 10:29 a.m.

Python

28 +0

156 +0

60 +0

GitHub
GPflowOpt by GPflow

Bayesian Optimization using GPflow

created at April 28, 2017, 3:23 p.m.

Python

28 +0

266 +1

60 +0

GitHub
xfer by amzn

Transfer Learning library for Deep Neural Networks.

created at June 29, 2018, 6:37 p.m.

Python

19 +0

250 +0

61 +0

GitHub
streamsync by streamsync-cloud

No-code in the front, Python in the back. An open-source framework for creating data apps.

created at Feb. 17, 2022, 9:10 p.m.

Vue

23 +0

1,101 +6

63 +1

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

574 +0

64 +0

GitHub
mlforecast by Nixtla

Scalable machine 🤖 learning for time series forecasting.

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

Python

13 +0

731 +10

68 +0

GitHub
Sklearn-genetic-opt by rodrigo-arenas

ML hyperparameters tuning and features selection, using evolutionary algorithms.

created at Jan. 18, 2020, 7:16 p.m.

Python

4 +0

274 +1

70 +1

GitHub
scikit-rebate by EpistasisLab

A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for Machine Learning.

created at Sept. 19, 2016, 1:36 p.m.

Python

24 +0

400 +2

72 +0

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

227 +1

72 +0

GitHub
sklearn-expertsys by tmadl

Highly interpretable classifiers for scikit learn, producing easily understood decision rules instead of black box models

created at Feb. 23, 2016, 5:31 a.m.

Python

23 +0

484 +0

73 +0

GitHub
fairml by adebayoj

None

created at Jan. 2, 2016, 5:14 a.m.

Python

19 +0

357 +1

74 +0

GitHub
stacking by ikki407

Stacked Generalization (Ensemble Learning)

created at June 2, 2016, 2:04 p.m.

Python

8 +0

216 +0

75 +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

316 +1

77 +0

GitHub
optunity by claesenm

optimization routines for hyperparameter tuning

created at May 28, 2014, 5:29 p.m.

Jupyter Notebook

24 +0

414 +0

78 +0

GitHub
featureforge by machinalis

A set of tools for creating and testing machine learning features, with a scikit-learn compatible API

created at Feb. 17, 2014, 5:21 p.m.

Python

34 +0

382 +0

79 +0

GitHub
chaos_genius by chaos-genius

ML powered analytics engine for outlier detection and root cause analysis.

created at May 27, 2021, 8:13 a.m.

Python

10 +0

705 +3

81 +0

GitHub
vecstack by vecxoz

Python package for stacking (machine learning technique)

created at Nov. 8, 2016, 1:23 p.m.

Python

21 +0

685 +0

83 +0

GitHub