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aenet

AENet: audio feature extraction

amazon-dsstne

Deep Scalable Sparse Tensor Network Engine (DSSTNE) is an Amazon developed library for building Deep Learning (DL) machine learning (ML) models

amazon-sagemaker-examples

Example notebooks that show how to apply machine learning and deep learning in Amazon SageMaker

app-dl

Deep Learning and applications in Startups, CV, Text Mining, NLP

attention-and-memory

Experimenting with Attention models and Memory Networks

audio

autoencoders_cf

blog-spark-food-recommendation

Simple example on how to use recommenders in Spark / MLlib

capsnet.mxnet

MXNet implementation of CapsNet

cdae

Collaborative Denoising Auto-Encoder for Top-N Recommender Systems

cdae-1

Collaborative Denoising Auto-Encoder (CDAE)

cf-nade

A implementation of CF-NADE. Yin Zheng, et. al. "A Neural Autoregressive Approach to Collaborative Filtering", accepted by ICML 2016.

cmemnn

come

Implementation of ComE algorithm

conditional-gans

The test code for Conditional convolutional adversarial networks.

conve

Convolutional 2D Knowledge Graph Embeddings resources

copula

copulas

dcgan-tensorflow

A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"

deep-clustering

deep-ctr

An attempt of training DNN models to predict ad click-through rate, implemented with Theano.

deep-learning-papers-reading-roadmap

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

deep_learning

Deep Learning Package in Python Based on The Deep Learning Tutorials and Theano

deep_q_rl

Theano-based implementation of Deep Q-learning

deep_recommend_system

Deep learning recommend system with TensorFlow

deepaudioclassification

Finding the genre of a song with Deep Learning

deepconvsep

Deep Convolutional Neural Networks for Musical Source Separation

deephash-papers

Must-read papers on deep learning to hash (DeepHash)

deeplearning-mxnet

Mxnet for CTR

deeplearningsourceseparation

Deep Recurrent Neural Networks for Source Separation