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

14 +0

196 +0

46 +0

GitHub
SafeOpt by befelix

Safe Bayesian Optimization

created at July 21, 2015, 9:44 a.m.

Python

8 +0

133 +1

47 +0

GitHub
pyvarinf by ctallec

Python package facilitating the use of Bayesian Deep Learning methods with Variational Inference for PyTorch

created at March 2, 2018, 3:32 p.m.

Python

12 +0

356 +0

50 +0

GitHub
machin by iffiX

Reinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ...

created at June 7, 2020, 5:13 a.m.

Python

4 +0

389 +0

50 +0

GitHub
littleballoffur by benedekrozemberczki

Little Ball of Fur - A graph sampling extension library for NetworKit and NetworkX (CIKM 2020)

created at May 3, 2020, 4:12 p.m.

Python

10 +0

692 +0

53 +2

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

1,115 +1

58 +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

13 +0

318 +2

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
GPflowOpt by GPflow

Bayesian Optimization using GPflow

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

Python

28 +0

266 +0

60 +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
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
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
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

275 +1

70 +0

GitHub
mlforecast by Nixtla

Scalable machine 🤖 learning for time series forecasting.

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

Python

13 +0

733 +2

70 +2

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 +0

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 +0

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 +0

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
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

77 -2

GitHub