DMTK by Microsoft

Microsoft Distributed Machine Learning Toolkit

created at Nov. 8, 2015, 3:32 a.m.

Unknown languages

309 +0

2,746 +1

559 +0

GitHub
luminol by linkedin

Anomaly Detection and Correlation library

created at Nov. 18, 2015, 11:16 p.m.

Python

66 +0

1,169 +3

217 +0

GitHub
sklearn-crfsuite by TeamHG-Memex

scikit-learn inspired API for CRFsuite

created at Nov. 26, 2015, 9:15 p.m.

Python

22 +0

424 +0

216 +0

GitHub
PyCEbox by AustinRochford

⬛ Python Individual Conditional Expectation Plot Toolbox

created at Dec. 2, 2015, 3:49 p.m.

Jupyter Notebook

6 +0

163 +0

35 +0

GitHub
Auralisation by keunwoochoi

Auralisation of learned features in CNN (for audio)

created at Dec. 4, 2015, 3 p.m.

Python

5 +0

41 +0

10 +0

GitHub
hsmmlearn by jvkersch

A library for hidden semi-Markov models with explicit durations

created at Dec. 24, 2015, 3:38 p.m.

Jupyter Notebook

9 +0

75 +0

18 +0

GitHub
tensorpack by tensorpack

A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility

created at Dec. 25, 2015, 11:08 p.m.

Python

197 +0

6,296 +0

1,813 -1

GitHub
fairml by adebayoj

None

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

Python

19 +0

357 +0

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GitHub
ydata-profiling by ydataai

1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.

created at Jan. 9, 2016, 11:47 p.m.

Python

152 -1

12,197 +17

1,643 +1

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

40 +0

1,459 +4

250 +0

GitHub
pyflux by RJT1990

Open source time series library for Python

created at Feb. 16, 2016, 8:12 p.m.

Python

71 +0

2,095 +1

240 +0

GitHub
hyperas by maxpumperla

Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization

created at Feb. 19, 2016, 2:45 p.m.

Python

63 +0

2,170 -2

316 +0

GitHub
dplython by dodger487

dplyr for python

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

Python

35 +0

763 +1

58 +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

486 +1

73 +0

GitHub
snorkel by snorkel-team

A system for quickly generating training data with weak supervision

created at Feb. 26, 2016, 5:52 a.m.

Python

168 +0

5,739 +3

860 +0

GitHub
Augmentor by mdbloice

Image augmentation library in Python for machine learning.

created at March 1, 2016, 6:29 p.m.

Python

124 +0

5,040 -1

865 +0

GitHub
tfdeploy by riga

Deploy tensorflow graphs for fast evaluation and export to tensorflow-less environments running numpy.

created at March 7, 2016, 1:08 p.m.

Python

22 +0

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38 +0

GitHub
lime by marcotcr

Lime: Explaining the predictions of any machine learning classifier

created at March 15, 2016, 10:18 p.m.

JavaScript

264 +0

11,386 +7

1,789 +1

GitHub
scikit-optimize by scikit-optimize

Sequential model-based optimization with a `scipy.optimize` interface

created at March 20, 2016, 9:10 p.m.

Python

64 +0

2,732 +1

548 +0

GitHub
physt by janpipek

Python histogram library - histograms as updateable, fully semantic objects with visualization tools. [P]ython [HYST]ograms.

created at March 25, 2016, 1:41 p.m.

Python

10 +0

128 +0

15 +0

GitHub