open-solution-value-prediction by minerva-ml
Open solution to the Santander Value Prediction Challenge 
created at June 19, 2018, 8:31 p.m.
kaggle-dogs-vs-cats by kastnerkyle
Code for Kaggle Dovs vs. Cats competition http://www.kaggle.com/c/dogs-vs-cats
created at Oct. 21, 2013, 2:12 p.m.
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.
neuropredict by raamana
Easy and comprehensive assessment of predictive power, with support for neuroimaging features
created at March 2, 2017, 8:53 p.m.
stacked_generalization by fukatani
Library for machine learning stacking generalization.
created at May 10, 2016, 3:35 p.m.
nn_builder by p-christ
Build neural networks with less boilerplate code
created at Jan. 21, 2019, 9:29 a.m.
kaggle-cifar by zygmuntz
Code for the CIFAR-10 competition at Kaggle, uses cuda-convnet
created at Nov. 28, 2013, 9:15 p.m.
distributed-ml-patterns by terrytangyuan
Distributed Machine Learning Patterns from Manning Publications by Yuan Tang https://bit.ly/2RKv8Zo
created at Jan. 15, 2021, 7:51 p.m.
open-solution-ship-detection by minerva-ml
Open solution to the Airbus Ship Detection Challenge
created at Aug. 8, 2018, 7:15 p.m.
pix2pix-keras by williamFalcon
Image-to-Image Translation with Conditional Adversarial Networks (Pix2pix) implementation in keras
created at Feb. 23, 2017, 4:28 p.m.
crab by marcelcaraciolo
Crab - A recommendation engine library for Python
created at Oct. 11, 2010, 3:56 a.m.
open-solution-toxic-comments by minerva-ml
Open solution to the Toxic Comment Classification Challenge
created at Jan. 4, 2018, 4:29 p.m.
steppy by minerva-ml
Lightweight, Python library for fast and reproducible experimentation 
created at Jan. 15, 2018, 9:40 a.m.
scikit-learn-tutorial by GaelVaroquaux
Applied Machine Learning in Python with scikit-learn
created at July 2, 2011, 3:30 p.m.
kaggle_insults by amueller
Kaggle Submission for "Detecting Insults in Social Commentary"
created at Sept. 22, 2012, 2:16 p.m.
visualize_ML by ayush1997
Python package for consolidated and extensive Univariate,Bivariate Data Analysis and Visualization catering to both categorical and continuous datasets.
created at July 30, 2016, 2:49 p.m.