optax by deepmind

Optax is a gradient processing and optimization library for JAX.

created at June 12, 2020, 3:45 p.m.

Python

36 +0

1,697 +8

193 +3

GitHub
prettyplotlib by olgabot

Painlessly create beautiful matplotlib plots.

created at July 18, 2013, 2:39 p.m.

Python

84 +0

1,692 +0

148 +0

GitHub
ngboost by stanfordmlgroup

Natural Gradient Boosting for Probabilistic Prediction

created at June 21, 2018, 10:22 p.m.

Python

44 +0

1,655 +1

218 +0

GitHub
AIX360 by Trusted-AI

Interpretability and explainability of data and machine learning models

created at July 11, 2019, 7:17 a.m.

Python

56 +0

1,633 +6

307 +0

GitHub
Metrics by benhamner

Machine learning evaluation metrics, implemented in Python, R, Haskell, and MATLAB / Octave

created at June 12, 2012, 3:52 p.m.

Python

87 +0

1,628 +0

454 +0

GitHub
talos by autonomio

Hyperparameter Experiments with TensorFlow and Keras

created at May 4, 2018, 8:36 p.m.

Python

27 +0

1,625 +0

268 +0

GitHub
gplearn by trevorstephens

Genetic Programming in Python, with a scikit-learn inspired API

created at March 26, 2015, 1:01 a.m.

Python

51 +0

1,615 +5

283 +0

GitHub
mesh by tensorflow

Mesh TensorFlow: Model Parallelism Made Easier

created at Sept. 20, 2018, 8:23 p.m.

Python

51 +0

1,592 +1

256 +0

GitHub
hyperopt-sklearn by hyperopt

Hyper-parameter optimization for sklearn

created at Feb. 19, 2013, 4:09 p.m.

Python

58 +0

1,588 +0

273 +0

GitHub
keras-contrib by keras-team

Keras community contributions

created at Jan. 25, 2017, 2:26 a.m.

Python

80 +0

1,581 -1

650 -1

GitHub
distributed by dask

A distributed task scheduler for Dask

created at Sept. 13, 2015, 6:42 p.m.

Python

57 +0

1,579 +1

718 +0

GitHub
elephas by maxpumperla

Distributed Deep learning with Keras & Spark

created at Aug. 13, 2015, 12:09 p.m.

Python

102 +0

1,574 +0

310 -1

GitHub
thundersvm by Xtra-Computing

ThunderSVM: A Fast SVM Library on GPUs and CPUs

created at Dec. 11, 2014, 4:24 a.m.

C++

57 +0

1,573 +1

218 +1

GitHub
Spearmint by HIPS

Spearmint Bayesian optimization codebase

created at Aug. 5, 2014, 6:13 p.m.

Python

79 +0

1,547 +3

329 +0

GitHub
boruta_py by scikit-learn-contrib

Python implementations of the Boruta all-relevant feature selection method.

created at Jan. 30, 2016, 4:25 p.m.

Python

41 +0

1,511 +1

258 +1

GitHub
scikit-feature by jundongl

open-source feature selection repository in python

created at Nov. 6, 2015, 4:34 p.m.

Python

60 +0

1,508 -2

446 -1

GitHub
MLBox by AxeldeRomblay

MLBox is a powerful Automated Machine Learning python library.

created at June 1, 2017, 4:59 p.m.

Python

65 +0

1,500 +1

274 +0

GitHub
emcee by dfm

The Python ensemble sampling toolkit for affine-invariant MCMC

created at Nov. 7, 2011, 4:17 p.m.

Python

85 +0

1,470 +2

430 +0

GitHub
ydata-synthetic by ydataai

Synthetic data generators for tabular and time-series data

created at May 4, 2020, 3:52 p.m.

Jupyter Notebook

32 +0

1,441 +2

235 +0

GitHub
metric-learn by scikit-learn-contrib

Metric learning algorithms in Python

created at Nov. 2, 2013, 8:29 a.m.

Python

46 +0

1,399 +1

234 +0

GitHub