todokku,github

deepaas

DEEP as a Service API for machine learning models

deepsea-frameextractor

FFMPEG based docker image for extracting still images from video from timecodes, strides, etc. for labeling tasks. https://github.org/mbari-org/deepseat-frameextractor

deno-url-shortner

A simple URL shorting service with Deno, Mongo and Pogo

deploy-heroku

steps to deploy your application in the heroku cloud

deploy-to-web-extension

Deploy to Netlify, Heroku, and Now from your Cosmic JS Bucket

deploymachinelearningmodels

This Repo Contains Deployment of Machine Learning Models on cloud services like Azure, Heroku, AWS,GCP etc

deployment-of-ml-models-in-heroku-using-flask

devconnector

A full stack social network app built with React/Redux/Express/MongoDB deployed with Heroku using a postbuild script

developer-profiles-v2

Developer Profiles v2 - Powered by React, Node/Express, Netlify and Heroku

dicegame_heroku

Simpler version of Dice game te bo deplay in Heroku

dicomweb-proxy

A proxy to translate between dicomweb and traditional dicom dimse services

digit-recognizer

A Deep Learning based Handwritten Digit Recognition Application built on Tensorflow and Keras. The web-based UI built using frameworks and libraries like Node.js, npm, Bootstrap, jQuery, Ajax.

directional-deep-embedding-and-appearance-learning-for-fast-video-object-segmentation

We propose a directional deep embedding and appearance learning (DDEAL) method, which is free of the online fine-tuning process, for fast VOS. DDEAL achieves a J & F mean score of 74.8% on DAVIS 2017 dataset and an overall score G of 71.3% on the large-scale YouTube-VOS dataset, while retaining a speed of 25 fps with a single NVIDIA TITAN Xp GPU. Furthermore, our faster version runs 31 fps with only a little accuracy loss.