anomaly_cnn_example

awesome-deep-learning-papers

cedar

Charts for ArcGIS GeoServices

conv_arithmetic

A technical report on convolution arithmetic in the context of deep learning

courses

Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1

deep-learning-papers-reading-roadmap

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

dsprites-dataset

Dataset to assess the disentanglement properties of unsupervised learning methods

egads

Extendible Generic Anomaly Detection System

freesound-python

python client for the freesound API

generative-models

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

generativemodels

google-images-download

Python Script to download hundreds of images from 'Google Images'. It is a ready-to-run code!

hmmlearn

Hidden Markov Models in Python, with scikit-learn like API

klms

msd_downloader

Little script to download the MSD audio files in parallel

msongsdb

Code for the Million Song Dataset, the dataset contains metadata and audio analysis for a million tracks, a collaboration between The Echo Nest and LabROSA. See website for details.

node2vec

numpy_exercises

Numpy exercises.

pagerank

A pagerank implementation in C++ able to handle very big graphs

pixel-rnn-tensorflow

in progress

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 ;)

project

pylast

A Python interface to Last.fm and Libre.fm

pytorch-tutorial

tutorial for researchers to learn deep learning with pytorch.

pytorch-wavenet

An implementation of WaveNet with fast generation

semisupervised_vae

Replication of Semi-Supervised Learning with Deep Generative Models

speech-to-text-wavenet

Speech-to-Text-WaveNet : End-to-end sentence level English speech recognition using DeepMind's WaveNet and tensorflow

tensorflow-book

Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.

tensorflow-vae-gan-draw

A collection of generative methods implemented with TensorFlow (Deep Convolutional Generative Adversarial Networks (DCGAN), Variational Autoencoder (VAE) and DRAW: A Recurrent Neural Network For Image Generation).

tensorflow-wavenet

A TensorFlow implementation of DeepMind's WaveNet paper