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drit-tensorflow

Simple Tensorflow implementation of Diverse Image-to-Image Translation via Disentangled Representations (ECCV 2018 Oral)

drmad

DrMAD: Distilling Reverse-Mode Automatic Differentiation for Optimizing Hyperparameters of Deep Neural Networks

drn

Dilated Residual Networks

drn-1

Code for "Learning Multiple Tasks with Deep Relationship Networks" NIPS 2017

drn_cvpr2020

Code and Dataset for CVPR2020 "Dynamic Refinement Network for Oriented and Densely Packed Object Detection"

drnn

Doubly-recurrent neural networks

drnn4ass

Deep Recurrent Neural Network for Audio Source Separation

drocap

dropout

A theano implementation of Hinton's dropout.

dropoutuncertaintycaffemodels

Dropout As A Bayesian Approximation: Code

dropoutuncertaintydemos

What My Deep Model Doesn't Know...

drqa

Reading Wikipedia to Answer Open-Domain Questions

dsacline

Differentiable RANSAC: Learning Robust Line Fitting

dsb2017

The solution of team 'grt123' in DSB2017

dsd

DSD model zoo. Better accuracy models from DSD training on Imagenet with same model architecture

dsod

DSOD: Learning Deeply Supervised Object Detectors from Scratch. In ICCV 2017.

dsprites-dataset

Dataset to assess the disentanglement properties of unsupervised learning methods

dt-ram

dta.pytorch

Official implementation of Drop to Adapt: Learning Discriminative Features for Unsupervised Domain Adaptation, to be presented at ICCV 2019.

dtn

dtn-1

Diversity Transfer Network for Few-Shot Learning (AAAI-20, oral presentation)

dtn-tensorflow

TensorFlow implementation of 'Unsupervised Cross-Domain Image Generation'

dual-coding-agents

A Dual-Coding Architecture for Intelligent Social Agents

dual-process-reinforcement

An intelligent agent that adaptively changes its thought processes to maximize cumulative reward

dualcnn-tf

Tensorflow based Implementation of the CVPR2018 paper: Learning Dual Convolutional Neural Networks for Low-Level Vision

dukemtmc-reid_evaluation

The Person re-ID Evaluation Code for DukeMTMC-reID Dataset

dupsampling

This repo is an unofficial pytorch implementation of CVPR2019 paper: Decoders Matter for Semantic Segmentation: Data-Dependent Decoding Enables Flexible Feature Aggregation

dvc

⚡️Data & models versioning for ML projects, make them shareable and reproducible

dvc_dask_use_case

A use case of a reproducible machine learning pipeline using Dask, DVC, and MLflow.

dvn

Reference implementation for Structured Prediction with Deep Value Networks