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awesome-deep-learning

A curated list of awesome Deep Learning tutorials, projects and communities.

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

blast

book-notes

Notes from books and other interesting things that I've read.

books

book list

books-1

caffe

Caffe: a Fast framework for neural networks. For the most recent version, check out branch dev. For a more stable version, check out branch master.

dataweek-workshop

Machine learning workshop using Python, pandas, and scikit-learn. The first half of the day covered supervised classification using Logistic Regression and how to use cross validation to evaluate your models . The second half of the day covered unsupervised clustering with Kmeans as well as an overview of the data science process.

deepnet

Implementation of some deep learning algorithms.

dl-meetup-intro

Code for participants of "NLP and Deep Learning: introduction - Session I" at Sthlm NLP Meetup of 22 Jan 2015

dotfiles

Development configuration files for Startup Engineering MOOC. Intended to be forked and customized by students.

dp_sparse_autoencoder

sparse autoencoder (deep learning)

easyocr

Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.

extending-deep-er

This project focuses on DeepER, a deep learning framework for entity resolution (record deduplication). It examines how DeepER performs on benchmark datasets under a variety of conditions and also tests a number of extensions designed to improve DeepER's accuracy.

fasttext

Library for fast text representation and classification.

free-programming-books

hypergrad

Exploring differentiation w.r.t hyperparameters

imagecodingresearchtools

ImageCodingResearchTools

install-opencv

shell scripts to install different version of OpenCV in different distributions of Linux

ipython

Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.

is13

RNN and Spoken Language Understanding

java-deep-learning-cookbook

Code for Java Deep Learning Cookbook

jedaitoolkit

An open source, high scalability toolkit in Java for Entity Resolution.

kaldi-lstm

C++ implementation of LSTM (Long Short Term Memory), in Kaldi's nnet1 framework. Used for automatic speech recognition, possibly language modeling etc, the training can be switched between CPU and GPU(CUDA). This repo is now merged into official Kaldi codebase(Karel's setup), so this repo is no longer maintained, please check out the Kaldi project instead.

lasagne

neural network tools for Theano

libsvm-3.0.extended.wdi

The original LibSVM Python version does not have the interface to computethe value of |w|^2, which can be used for computing the distance of a given sampletowards the hyperplane. We modified the C++ files and corresponding python functions, also re-built the dll file. The modified svm-model object contains the following additional attributes: w_2(|w|^2)+),rho, nSV(no of support vectors for each class), probA, probB. Please refer to readme.wdi file for detailed information.‎

lmdb-embeddings

Fast word vectors with little memory usage in Python

lstm-g

An implementation of a generalized version of the Long Short-Term Memory neural network architecture and algorithm, one of the most powerful supervised machine learning methodologies.

machine-learning

Contains all ML aspects of hackathon project.

matlabs