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.

created at April 22, 2017, 10:16 p.m.

C++

5 +0

65 +0

9 +0

GitHub
GPflowOpt by GPflow

Bayesian Optimization using GPflow

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

Python

28 +0

266 +0

60 +0

GitHub
tslearn by tslearn-team

The machine learning toolkit for time series analysis in Python

created at May 4, 2017, 1:08 p.m.

Python

60 +0

2,819 +5

329 +0

GitHub
audio by pytorch

Data manipulation and transformation for audio signal processing, powered by PyTorch

created at May 5, 2017, 12:38 a.m.

Python

73 +0

2,409 +7

635 +1

GitHub
cudf by rapidsai

cuDF - GPU DataFrame Library

created at May 7, 2017, 3:43 a.m.

C++

148 +3

7,870 +371

853 +7

GitHub
MLBox by AxeldeRomblay

MLBox is a powerful Automated Machine Learning python library.

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

Python

66 +1

1,482 +1

274 +0

GitHub
gpytorch by cornellius-gp

A highly efficient implementation of Gaussian Processes in PyTorch

created at June 9, 2017, 2:48 p.m.

Python

59 +0

3,437 +1

545 +2

GitHub
xlearn by aksnzhy

High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization machines (FM), and field-aware factorization machines (FFM) for Python and CLI interface.

created at June 10, 2017, 8:09 a.m.

C++

110 +0

3,078 +1

520 +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

574 +1

64 +0

GitHub
tensorboardX by lanpa

tensorboard for pytorch (and chainer, mxnet, numpy, ...)

created at June 13, 2017, 1:54 p.m.

Python

86 +0

7,817 +3

863 +1

GitHub
dask-ml by dask

Scalable Machine Learning with Dask

created at June 15, 2017, 3:56 p.m.

Python

40 +0

885 +1

253 +3

GitHub
pyro by pyro-ppl

Deep universal probabilistic programming with Python and PyTorch

created at June 16, 2017, 5:03 a.m.

Python

201 +0

8,409 +9

986 +0

GitHub
pyecharts by pyecharts

🎨 Python Echarts Plotting Library

created at June 22, 2017, 2:50 a.m.

Python

378 +0

14,571 +30

2,835 +2

GitHub
scikit-posthocs by maximtrp

Multiple Pairwise Comparisons (Post Hoc) Tests in Python

created at June 22, 2017, 7:41 p.m.

Python

5 +0

325 +0

39 +0

GitHub
nnabla by sony

Neural Network Libraries

created at June 26, 2017, 1:07 a.m.

Python

153 +0

2,702 +4

335 +1

GitHub
PDPbox by SauceCat

python partial dependence plot toolbox

created at June 26, 2017, 8:01 a.m.

Jupyter Notebook

18 +0

829 +0

130 +0

GitHub
treelite by dmlc

Universal model exchange and serialization format for decision tree forests

created at June 28, 2017, 11:39 p.m.

C++

40 +0

717 +1

96 +0

GitHub
pyswarms by ljvmiranda921

A research toolkit for particle swarm optimization in Python

created at July 12, 2017, 12:04 p.m.

Python

39 +0

1,240 +4

331 +0

GitHub
skorch by skorch-dev

A scikit-learn compatible neural network library that wraps PyTorch

created at July 18, 2017, 12:13 a.m.

Jupyter Notebook

81 +0

5,671 +6

383 +1

GitHub
catboost by catboost

A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.

created at July 18, 2017, 5:29 a.m.

Python

192 +0

7,832 +18

1,160 +0

GitHub