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delight

DeLighT: Very Deep and Light-Weight Transformers

delorean

Delorean: Time Travel Made Easy

delving-deep-into-gans

Generative Adversarial Networks (GANs) resources sorted by citations

demand-forecasting

Forecasting for a meal kit delivery business as part of business analytics project at Columbia university

demo-face-gan

A demonstration of using a live Tensorflow session to create an interactive face-GAN explorer.

demo-self-driving

Streamlit app demonstrating an image browser for the Udacity self-driving-car dataset with realtime object detection using YOLO.

demo-spacy-text-processing

demucs

Code for the paper Music Source Separation in the Waveform Domain

dense-reppoints

Dense reppoints: Representing visual objects with dense point sets https://arxiv.org/abs/1912.11473

densecl

Dense Contrastive Learning (DenseCL) for self-supervised representation learning, CVPR 2021 Oral.

densenet

Densely Connected Convolutional Networks, In CVPR 2017 (Best Paper Award).

densenet-tensorflow

Simple Tensorflow implementation of Densenet using Cifar10, MNIST

deocclusion

Code for our CVPR 2020 work.

deoccnet

DeOccNet: Learning to See Through Foreground Occlusions in Light Fields, WACV 2020.

deoldify

A Deep Learning based project for colorizing and restoring old images (and video!)

depara

This repo provides source codes for reproduing the results of "DEPARA".

depix

Recovers passwords from pixelized screenshots

deploy-ml-models-production

Source Code for 'Deploy Machine Learning Models to Production' by Pramod Singh

deploy-nlp-model-with-fastapi

Learn how to build and deploy NLP model with FastAPI

det3d

A general 3D object detection codebse.

detection-of-defects-in-fruits-and-vegetables

Detection of defects in fruits and vegetables using k means segmentation and Otsu thresholding in Matlab. Both external and internal defects are detected. For external defects, the surface of the fruits and vegetables in the image is processed. For internal defects, two approaches are followed. In the first one, the internal images of the fruits are processed for defects, whereas in the second one, the X-ray images of the images are taken and processed for defects.

detection-pytorch-notebook

代码 -《深度学习之PyTorch物体检测实战》

detectorch

Detectorch - detectron for PyTorch

detectors

DetectoRS: Detecting Objects with Recursive Feature Pyramid and Switchable Atrous Convolution

detectron

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

detectron.pytorch

detectron2

Detectron2 is FAIR's next-generation research platform for object detection and segmentation.

determined

Determined: Deep Learning Training Platform

detnas

detr

End-to-End Object Detection with Transformers