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deep_architecture_genealogy

Deep Learning Architecture Genealogy Project

deep_cage

code for "Neural Cages for Detail-Preserving 3D Deformations"

deep_code_generation

Experiments in generating code using deep learning methods. My master's thesis

deep_complex_networks

Implementation related to the Deep Complex Networks

deep_dream_3d

The code of 3D DeepDream in "Neural 3D Mesh Renderer" by H. Kato, Y. Ushiku, and T. Harada.

deep_hand_pose

Provides the source code for the deep learning components mentioned in "Depth-based hand pose estimation: methods, data, and challenges"

deep_image_blending

deep_learning_tools_for_dsvm

Useful deep learning tools for the Data Science Virtual Machine

deep_marching_cubes

Code for "Deep Marching Cubes: Learning Explicit Surface Representations", CVPR 2018

deep_qa

Using deep learning to answer Aristo's science questions

deep_rl_acrobot

Using deep reinforcement learning (DDPG & A3C) to solve Acrobot

deep_srl

Code and pre-trained model for: Deep Semantic Role Labeling: What Works and What's Next

deep_unsupervised_posets

Deep Unsupervised Similarity Learning using Partially Ordered Sets (CVPR17)

deepvis-preddiff

Visualizing Deep Neural Network Decisions: Prediction Difference Analysis

deepvoice

Deep Voice: Real-time Neural Text-to-Speech

deepvoice3

Tensorflow Implementation of Deep Voice 3

deepvoice3_pytorch

PyTorch implementation of convolutional networks-based text-to-speech synthesis models

deepwalk

DeepWalk - Deep Learning for Graphs

deepwarp

Tensorflow implement for DeepWarp: Photorealistic Image Resynthesis for Gaze Manipulation

deepwater

Deep Learning in H2O using Native GPU Backends

deepxde

Deep learning library for solving differential equations and more

defensegan

Defense-GAN: Protecting Classifiers Against Adversarial Attacks Using Generative Models (published in ICLR2018)

deform-conv

Deformable Convolution in TensorFlow / Keras

deformable-convnets

Deformable Convolutional Networks

deformable-convolution-pytorch

PyTorch implementation of Deformable Convolution

deformable-convolution-v2-pytorch

Deformable ConvNets V2 (DCNv2) in PyTorch

dejavu

Dejavu: Motion Prediction in Static Images using structured RF.

deligan

This project is an implementation of the Generative Adversarial Network proposed in our CVPR 2017 paper - DeLiGAN : Generative Adversarial Networks for Diverse and Limited Data. DeLiGAN is a simple but effective modification of the GAN framework and aims to improve performance on datasets which are diverse yet small in size.

delugenets

Deluge Networks

delving-deep-into-gans

A curated list of state-of-the-art publications and resources about Generative Adversarial Networks (GANs) and their applications.