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data-efficient-model-compression

Data Efficient Model Compression

dataloaders_dali

PyTorch DataLoaders implemented with DALI for boosting image preprocessing

dcfnet

DCFNet: Discriminant Correlation Filters Network for Visual Tracking

ddml

A metric learning method for person re-identification

deblurgan

Image Deblurring using Generative Arversarial Networks

deep-crowd-counting_crowdnet

An independent implementation of "CrowdNet: A Deep Convolutional Network for Dense Crowd Counting"

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-image-matting

Deep Image Matting

deep-image-retrieval

deep-learning-model-convertor

The convertor/conversion of deep learning models for different deep learning frameworks/softwares.

deep-stock

Deep Learning for Stock Market

deep_sort

Simple Online Realtime Tracking with a Deep Association Metric

deeplab-v3plus

A higher performance pytorch implementation of DeepLab V3 Plus(DeepLab v3+)

deeplearningbook-chinese

Deep Learning Book Chinese Translation

deepmosaics

Automatically remove the mosaics in images and videos, or add mosaics to them.

deepslidingshape

Deep Sliding Shapes for Amodal 3D Object Detection in RGB-D Images

deepsort

c++ version of https://github.com/nwojke/deep_sort.

deepvideoanalytics

A highly configurable visual search & analytics platform for images and videos.

deformable-convnets

Deformable Convolutional Networks

densebody_pytorch

PyTorch implementation of CloudWalk's recent work DenseBody

densenet

Densely Connected Convolutional Networks, In CVPR 2017 (oral presentation).

densenet-tensorflow

DenseNet Implementation in Tensorflow

dgam-weakly-supervised-action-localization

Code for our paper "Weakly-Supervised Action Localization by Generative Attention Modeling" (CVPR2020)

dgc-net

A PyTorch implementation of "DGC-Net: Dense Geometric Correspondence Network"

discogan

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

distiller

Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://nervanasystems.github.io/distiller

distilling-object-detectors

Implementations of CVPR 2019 paper Distilling Object Detectors with Fine-grained Feature Imitation

distributed-tensorflow-example

An example of data parallelism and async updates of parameter in tensorflow.

dnn-pruning

A pyCaffe implementaion of the 2017 ICLR's "Pruning Filters for Efficient ConvNets" publication

doubledip

Official implementation of the paper "Double-DIP: Unsupervised Image Decomposition via Coupled Deep-Image-Priors"