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adversarial

Code and hyperparameters for the paper "Generative Adversarial Networks"

afirm2019deeplearning

Labs for AFIRM 2019

alf200k

ALF-200k dataset (Acoustic and Lyrics Features of 200k songs)

ann-writer

An artificial neural network that attempts to impersonate the writing style of any given text training set

arctic-capgen-vid

automatic video description generation

art-dcgan

Modified implementation of DCGAN focused on generative art. Includes pre-trained models for landscapes, nude-portraits, and others.

automated

[IJCNLP 2017 - Accepted] Multi-tasking deep learning framework that achieves state-of-the-art results in sentiment analysis, topic prediction, and hashtag recommendation.

bachpropagate

Scripts/ code for Recsys Challenge 2018

bazam

A Shazam imitator

beaverdam

Video annotation tool for deep learning training labels

beershift

BeerShift Mobile Application

beershift-jquery-phonegap

BeerShift application using jQuery mobile and Phonegap

beershift-ruby

BeerShift backend implemented using Ruby

beershift_api_java

Website and REST API for BeerShift written in Java

beershiftweb

Website and REST API for BeerShift written in PHP

bhtsne

BH T-SNE

birdsong-keras

Birdsong classification in noisy environments with Convolutional Neural Networks implemented in Keras Deep Learning library for the BIRDCLEF 2016 competition. Can be fine-tuned to arbitrary audio classification task.

bob

Bob is a free signal-processing and machine learning toolbox originally developed by the Biometrics group at Idiap Research Institute, in Switzerland.

bookspace

breeze

Breeze is a library for numerical processing, machine learning, and natural language processing. Its primary focus is on being generic, clean, and powerful without sacrificing (much) efficiency. Breeze is the merger of the ScalaNLP and Scalala projects, because one of the original maintainers is unable to continue development. The Scalala parts are largely rewritten.

caffe

Caffe: a fast framework for deep learning. For the most recent version checkout the dev branch. For the latest stable release checkout the master branch.

chainer

A flexible framework of neural networks for deep learning

char-rnn

Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch

clickmodels

ClickModels is a small set of Python scripts for the user click models initially developed at Yandex. A Click Model is a probabilistic graphical model used to predict search engine click data from past observations. This project is aimed to deal with click models used in Information Retrieval (see next README.md) and intended to be easy-to-read and easy-to-modify. If it's not, please let me know how to improve it :)

clip-retrieval

Easily compute clip embeddings and build a clip retrieval system with them

collab

Collaborative filtering with the GP-LVM

colloc_topic_model

Collocation Topic Model

coursera

Script for downloading Coursera.org videos and naming them.

coursework

summer school coursework

crossitlearn

Cross-situational word learning from raw images and speech