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dp-parser-emnlp17

dpdp

DPDP

dpe

Direct 3D Pose Estimation of a Planar Target (WACV 2016)

dplp

A RST Parser with a trained model

dpmm

Dirichlet process mixture model code in Matlab. Sampling and variational.

dpns

Dual Path Networks

dppnet

DPPnet: Image Question Answering using Convolutional Neural Network with Dynamic Parameter Prediction

dpr

Dynamic Partial Removal: a Neural Network Heuristic for Large Neighborhood Search on Combinatorial Optimization Problems, by applying deep learning (hierarchical recurrent graph convolutional network) and reinforcement learning (PPO)

dqa-format

Formatting DQA data (to VQA style, etc.)

dqa-net

Diagram question answering system described in "A Diagram is Worth a Dozen Images"

dqn

Lua/Torch implementation of DQN (Nature, 2015)

dqn-1

DQN implementation in Keras + TensorFlow + OpenAI Gym

dqn-2

DQN implementation in Keras + TensorFlow + OpenAI Gym

dqn-3

Basic DQN implementation

dqn-ddpg_stock_trading

Using DQN/DDPG for stock trading. Xiong, Z., Liu, X.Y., Zhong, S., Yang, H. and Walid, A., 2018. Practical deep reinforcement learning approach for stock trading, NeurIPS 2018 AI in Finance Workshop.

dqn-tensorflow

Tensorflow implementation of Human-Level Control through Deep Reinforcement Learning

dr-nmf

Implementation of deep recurrent nonnegative matrix factorization (DR-NMF) for speech separation

dracula

A deep, LSTM-based part of speech tagger and sentiment analyser using character embeddings instead of words. Compatible with Theano and TensorFlow. Optimized for Twitter.

dragan

A stable algorithm for GAN training

dragan-pytorch

PyTorch implementation of DRAGAN (https://arxiv.org/abs/1705.07215)

draw

Reimplementation of DRAW

draw-1

TensorFlow Implementation of "DRAW: A Recurrent Neural Network For Image Generation"

drawlikebobross

Draw like Bob Ross using the power of Neural Networks (With PyTorch)!

drc

Code release for "Multi-view Supervision for Single-view Reconstruction via Differentiable Ray Consistency" (CVPR 2017)

dream

This is the public repository for our accepted CVPR 2018 paper "Pose-Robust Face Recognition via Deep Residual Equivariant Mapping"

dream-1

DREAM: A Challenge Dataset and Models for Dialogue-Based Reading Comprehension

dress

好耶 是女装

dress-1

DRESS simplification model (EMNLP 2017) described in http://aclweb.org/anthology/D/D17/D17-1062.pdf

drgd-lcsts

code for "Deep Recurrent Generative Decoder for Abstractive Text Summarization"

drl-for-microgrid-energy-management

We study the performance of various deep reinforcement learning algorithms for the problem of microgrid’s energy management system. We propose a novel microgrid model that consists of a wind turbine generator, an energy storage system, a population of thermostatically controlled loads, a population of price-responsive loads, and a connection to the main grid. The proposed energy management system is designed to coordinate between the different sources of flexibility by defining the priority resources, the direct demand control signals and the electricity prices. Seven deep reinforcement learning algorithms are implemented and empirically compared in this paper. The numerical results show a significant difference between the different deep reinforcement learning algorithms in their ability to converge to optimal policies. By adding an experience replay and a second semi-deterministic training phase to the well-known Asynchronous advantage actor critic algorithm, we achieved considerably better performance and converged to superior policies in terms of energy efficiency and economic value.