tsterbak
Data Scientist, Mathematician, Machine Learning Engineer, Open Source developer
Berlin, Germany
tsterbak's Stars
scikit-learn/scikit-learn
scikit-learn: machine learning in Python
marcotcr/lime
Lime: Explaining the predictions of any machine learning classifier
ChenglongChen/kaggle-CrowdFlower
1st Place Solution for CrowdFlower Product Search Results Relevance Competition on Kaggle.
dswah/pyGAM
[HELP REQUESTED] Generalized Additive Models in Python
andosa/treeinterpreter
farizrahman4u/qlearning4k
Q-learning for Keras
RGF-team/rgf
Home repository for the Regularized Greedy Forest (RGF) library. It includes original implementation from the paper and multithreaded one written in C++, along with various language-specific wrappers.
akusok/hpelm
High performance implementation of Extreme Learning Machines (fast randomized neural networks).
IshitaTakeshi/PCANet
A Python implementation of PCANet https://arxiv.org/abs/1404.3606
jonsafari/clustercat
Fast Word Clustering Software
DistrictDataLabs/cultivar
Multidimensional data explorer and visualization tool.
yalechang/fast_rgf
Multi-core implementation of Regularized Greedy Forest