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densenet-sdr

repo that holds code for improving on dropout using Stochastic Delta Rule

differentiable-plasticity

Implementations of the algorithms described in Differentiable plasticity: training plastic networks with gradient descent, a research paper from Uber AI Labs.

diffrnn

RNN with differentiable structure (number of neurons)

dilatedrnn

Tensorflow implementation for DilatedRNN

dilation

Dilated Convolution for Semantic Image Segmentation

diracnets

Training Very Deep Neural Networks Without Skip-Connections

discogan

Official implementation of "Learning to Discover Cross-Domain Relations with Generative Adversarial Networks"

disentangled-representation-papers

A curated list of research papers related to learning disentangled representations

dl4mt-material

dmmclust

dmmclust is a package for clustering short texts, based on Yin and Wang (2014)

dndt

Deep Neural Decision Trees

doccano

Open source text annotation tool for machine learning practitioner.

dp

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

dpnn

deep extensions to nn

dragan

A stable algorithm for GAN training

draw

Reimplementation of DRAW

draw-1

Torch implementation of DRAW: A Recurrent Neural Network For Image Generation, based on https://github.com/vivanov879/draw

dtn-tensorflow

domain transfer network. tensorflow implementation of unsupervised cross-domain image generation

dynamic-tensorflow-tutorial

Tensorflow tutorial of building different dynamic recurrent neural network

dynamic_memory_network

dynamic_neural_manifold

ebgan

A tensorflow implementation of Junbo et al's Energy-based generative adversarial network ( EBGAN ) paper.

edward

A library for probabilistic modeling, inference, and criticism. Deep generative models, variational inference. Runs on TensorFlow.

enron_intent_dataset_verified

This is a verified version of the Parakweet Labs intent dataset, taken from the Enron email dataset.

esgd

ESGD-M is a stochastic non-convex second order optimizer, suitable for training deep learning models, for PyTorch.

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

exhibit

Publishing Framework for Large-Scale Data-Rich Interactive Web Pages

exp-machines

Exponential Machines implementation

eyescream

natural image generation using ConvNets

fabrik

Fabrik – Collaboratively build, visualize, and design neural nets in the browser