DS Box's repositories
MOEAFramework
A Free and Open Source Java Framework for Multiobjective Optimization
fuzzywuzzy
Fuzzy String Matching in Python
jmcglone.github.io
Data for jmcglone.com. Includes customization of Bootstrap 3.0. Blog and pages generated by Jekyll. Hosted on GitHub.
IEEE_CEC_2015_niching_competition
Data and scripts relating to entries to the EEE CEC 2015 competition on niching methods for multimodal optimisation
ipe-tools
Tools to use with the Ipe drawing editor
cluster-data
Migrated from code.google.com/p/googleclusterdata
awesome-datascience-colleges
A list of colleges and universities offering degrees in data science.
cookbook-code
Recipes of the IPython Cookbook, the definitive guide to high-performance scientific computing and data science in Python
caffe-fast-rcnn
Caffe fork that supports Fast R-CNN
neural-doodle
Turn your two-bit doodles into fine artworks with deep neural networks, generate seamless textures from photos, transfer style from one image to another, perform example-based upscaling, but wait... there's more! (An implementation of Semantic Style Transfer.)
DDF
Distributed DataFrame: Productivity = Power x Simplicity For Scientists & Engineers, on any Data Engine
harness-custom-test-php
RedLine13 load test harness for building custom php tests and testing locally.
github-cheat-sheet
A list of cool features of Git and GitHub.
DataScienceSpecialization.github.io
http://DataScienceSpecialization.github.io
FirstContactWithTensorFlow
This repository contains the information required by the TensorFlow Hands-on at Summer Seminar ETSETB TelecomBCN, 4-8 July 2016
python_reference
Useful functions, tutorials, and other Python-related things
pyzotero
A Python wrapper for the Zotero API v3
LearnDataScience
Open Content for self-directed learning in data science
ieee_cec_2014_nmmso
Codebase for IEEE Congress on Evolutionary Computation 2014 paper "Running Up Those Hills: Multi-Modal Search with the Niching Migraory Multi-Swarm Optimiser", containing the NMMSO algorithm
neural-networks-and-deep-learning
Code samples for my book "Neural Networks and Deep Learning"
skflow
Simplified interface for TensorFlow (mimicking Scikit Learn) for Deep Learning
Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
veles
Distributed machine learning platform
bib2xhtml
Convert BibTeX references into XHTML
torch-rnn
Efficient, reusable RNNs and LSTMs for torch
matplotlib-gallery
Examples of matplotlib codes and plots
char-rnn
Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch
ThinkBayes
Code repository for Think Bayes.
cilib
Typesafe, functional and pure Computational Intelligence library
EmailHarvester
Email addresses harvester