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awesome-ai

A curated list of resources for artificial intelligence

awesome-deep-vision

A curated list of deep learning resources for computer vision

awesome-random-forest

Random Forest - a curated list of resources regarding random forest

awesome-rnn

Recurrent Neural Network - A curated list of resources dedicated to RNN

bangpypers-intro-to-ml

Introduction to Machine Learning

bayesianoptimization

A Python implementation of global optimization with gaussian processes.

categorical_encoding

A library of sklearn compatible categorical variable encoders

configargparse

A drop-in replacement for argparse that allows options to also be set via config files and/or environment variables.

data-wrangling-pycon

Repository for Introduction to Data Analysis at EuroPython 2015

data_science_fun_conference_2015_pandas_in_a_hurry

iPython notebooks and data files for the 'Pandas in a Hurry' tutorial of the 2015 San Diego Data Science Fun Conference

debug_seq2seq

[unmaintained] Make seq2seq for keras work

deepdream

distracted-drivers-keras

Starter project for the Kaggle State Farm Distracted Driver Detection Competition

dl4h

Deep learning for hackers: a hands-on approach to machine learning and deep learning.

document_cluster

A guide to document clustering in Python

dotfiles

Me me me!

expose

A simple static site generator for photoessays

gststabilizer

An attempt to make GStreamer elements that allow to stabilize shaky video streams

hashtag_similarities

Compute similarity vectors of Instagram hashtags and then use them to retrieve relevant posts

imagehash

A Python Perceptual Image Hashing Module

kaggle

Codes for Kaggle Competitions

kaggle-heart

kaggle-homesite

Top15 Model for Kaggle-Competition "Homesite Quote Conversion"

kaggle-pycon-2015

Solution code from my winning submission to Kaggle's PyCon 2015 competition

keras_qa

Keras solution to the bAbI tasks using recurrent neural networks - merged as an example into Keras mainline

lasagne4newbs

Some beginner code for lasagne - simpler than the examples included in lasagne

location-clustering-and-prediction

The notebook companion to the Sony Developer World blog post

medius

Pelican theme inspired from medium

metrics

Machine learning evaluation metrics, implemented in Python, R, Haskell, and MATLAB / Octave

ml_meetup_nyc_2016

Material for Machine Learning Meetup "Machine Learning with Scikit-learn"