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ddsl

DDSL: Deep Differential Simplex Layer for Neural Networks

ddsp

DDSP: Differentiable Digital Signal Processing

dealii

The development repository for the deal.II finite element library.

debacl

Density Based Clustering (DeBaCl) Toolbox

dec

dec-da

Deep Embedded Clustering with Data Augmentation (DEC-DA). Performance on MNIST (acc=0.985, nmi=0.960).

dec-keras

Keras implementation for Deep Embedding Clustering (DEC)

dec-keras-1

Deep Embedding Clustering in Keras

decanlp

The Natural Language Decathlon: A Multitask Challenge for NLP

deconvolution

deep-clustering

A tensorflow implementation for Deep clustering: Discriminative embeddings for segmentation and separation

deep-clustering-1

deep-explanation-penalization

Code for using CDEP from the paper "Interpretations are useful: penalizing explanations to align neural networks with prior knowledge" https://arxiv.org/abs/1909.13584

deep-generative-models

Deep generative models implemented with TensorFlow 2.0: eg. Restricted Boltzmann Machine (RBM), Deep Belief Network (DBN), Deep Boltzmann Machine (DBM), Convolutional Variational Auto-Encoder (CVAE), Convolutional Generative Adversarial Network (CGAN)

deep-geometry

A python library for preprocessing geospatial vector geometries for use in deep learning

deep-graph-translation-

deep-high-resolution-net.pytorch

The project is an official implementation of our CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"

deep-k-means-pytorch

[ICML 2018] "Deep k-Means: Re-Training and Parameter Sharing with Harder Cluster Assignments for Compressing Deep Convolutions"

deep-kernel-gp

Deep Kernel Learning. Gaussian Process Regression where the input is a neural network mapping of x that maximizes the marginal likelihood

deep-learning-models

Keras code and weights files for popular deep learning models.

deep-learning-on-image-denoising-an-overview

Deep Learning on Image Denoising: An overview

deep-learning-papers-reading-roadmap

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

deep-learning-with-keras

Code repository for Deep Learning with Keras published by Packt

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

deep-multiple-description-coding

deep-photo-styletransfer

Code and data for paper "Deep Photo Style Transfer": https://arxiv.org/abs/1703.07511

deep-reinforcement-learning-hands-on

Hands-on Deep Reinforcement Learning, published by Packt

deep-reinforcement-learning-papers

A list of recent papers regarding deep reinforcement learning

deep-representations-clustering

This repository is an attempt to replicate the results for the paper: "Learning Deep Representations for Graph Clustering".

deep-subspace-clustering-networks