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.
steppy by minerva-ml
Lightweight, Python library for fast and reproducible experimentation 
created at Jan. 15, 2018, 9:40 a.m.
neural-dream by ProGamerGov
PyTorch implementation of DeepDream algorithm
created at March 16, 2020, 5:59 p.m.
scikit-learn-tutorial by GaelVaroquaux
Applied Machine Learning in Python with scikit-learn
created at July 2, 2011, 3:30 p.m.
open-solution-salt-identification by neptune-ml
Open solution to the TGS Salt Identification Challenge
created at July 24, 2018, 9:29 a.m.
stacked_generalization by fukatani
Library for machine learning stacking generalization.
created at May 10, 2016, 3:35 p.m.
topicwizard by x-tabdeveloping
Powerful topic model visualization in Python
created at Sept. 18, 2022, 11:33 a.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.
nupic.studio by htm-community
NuPIC Studio is a powerful all-in-one tool that allows users create a HTM neural network from scratch, train it, collect statistics, and share it among the members of the community.
created at June 11, 2014, 5:45 p.m.
bayeso by jungtaekkim
Simple, but essential Bayesian optimization package
created at Nov. 29, 2017, 4:41 a.m.
crab by marcelcaraciolo
Crab - A recommendation engine library for Python
created at Oct. 11, 2010, 3:56 a.m.
cogitare by cogitare-ai
🔥 Cogitare - A Modern, Fast, and Modular Deep Learning and Machine Learning framework for Python
created at June 19, 2017, 4:41 a.m.
PyStanfordDependencies by dmcc
Python interface for converting Penn Treebank trees to Stanford Dependencies and Universal Depenencies
created at Dec. 13, 2014, 6:38 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.
kaggle_acquire-valued-shoppers-challenge by MLWave
Code for the Kaggle acquire valued shoppers challenge
created at April 15, 2014, 5 a.m.