invinciblejha Goto Github PK

colaboratory

Jupyter CoLaboratory

comment-analyser

For playing around with machine learning

content

Official content for Harvard CS109

convnet

A GPU implementation of Convolutional Neural Nets in C++

convnet-benchmarks

Easy benchmarking of all public open-source implementations of convnets

convnetjs

Deep Learning in Javascript. Train Convolutional Neural Networks (or ordinary ones) in your browser.

cookbook-code

Recipes of the IPython Cookbook, the definitive guide to high-performance scientific computing and data science in Python

coursera-machine-learning

source from exercises in Coursera.

crab

Crab is a flexible, fast recommender engine for Python that integrates classic information filtering recommendation algorithms in the world of scientific Python packages (numpy, scipy, matplotlib).

crosscat

A domain-general, Bayesian method for analyzing high-dimensional data tables

css605-fall2011

Course Materials for CSS 605 -- Object-Oriented Programming for Social Sciences

curl

Curl is a tool and libcurl is a library for transferring data with URL syntax, supporting FTP, FTPS, HTTP, HTTPS, GOPHER, TFTP, SCP, SFTP, TELNET, DICT, LDAP, LDAPS, FILE, IMAP, SMTP, POP3, RTSP and RTMP. libcurl offers a myriad of powerful features

data-science-toolbox

Start doing data science in minutes

dataanalysis

The lecture slides for Coursera's Data Analysis class

dataset-examples

Samples for users of the Yelp Academic Dataset

datumbox-python-wrapper

A python wrapper for Datumbox

decaf-release

Decaf is DEPRECATED! Please visit http://caffe.berkeleyvision.org/ for Caffe, the new framework that has all the good things: GPU computation, full train/test scripts, native C++, and an active community!

deep-learning

deeplearning

My deep learning projects

deeplearningtutorials

Deep Learning Tutorial notes and code. See the wiki for more info.

deeplearntoolbox

Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.

deepqa

GitXiv Competition: Replicate the findings of the Deep Q&A research paper, preferably in collaboration with others. Use library of choice. Upload your findings here

diveintopython

A mirror of diveintopython.org.

docs-specs-cloud-servers-language-binding

Technical specifications for API developers creating language bindings for Cloud Servers

dp

A deep learning library for streamlining research and development using the Torch7 distribution.

dumbo

Python module that allows one to easily write and run Hadoop programs.

ec2_tools

Scripts to make it easier to set up and manipulate clusters at Amazon EC2

ecl-ml

ECL Machine Learning code

emokit

Open source driver for accessing raw data from the Emotiv EPOC EEG headset

emvic

Kaggle's Eye Movements Identification and Verification Competition