383 Open source projects that are alternatives of or similar to fooddist

Application for managing recipes, planning meals, building shopping lists and much much more!

This is my take on a (easy) ramen soup with chasu. Please contribute and give feedback.

🍛🍴 This app allows a user to select a recipe and see video-guided steps for how to complete it, showcasing MVVM, Retrofit, ExoPlayer with lifecycle components, Master/Detail Flow, Widgets.

XNOR-Net, CUDNN5 supported version of XNOR-Net-caffe: https://github.com/loswensiana/BWN-XNOR-caffe

Caffe implementation for "Guided Optical Flow Learning"

Calculate your carbon footprint 🏭👣 from food, transport, purchases, fashion, electricity and digital activities like streaming, NFT or blockchain.

A Slimefun 4 Addon that adds new plants and various new food items

Mxnet2Caffe_Tensor RT

A small tool to dump Caffe's *.caffemodel to JSON for inspection

🎯 保姆级深度学习从入门到放弃 🤪 🤪

Re-implementation of tripletloss function in FaceNet

No description or website provided.

A Food App using Flutter & Firebase.

An AR App for Restaurants and Food Delivery ✨✨

A beautiful food onboarding screen which can be used when building a food related flutter app for both android and IOS.

Depth Map Super-Resolution by Deep Multi-Scale Guidance, ECCV 2016

📹 一个短视频APP视频内容安全审核的思路调研及实现汇总

在caffe应用到工程实现时，为了方便系统安装，需要尽可能减少软件的依赖库。 本项目以bash shell/PowerShell脚本实现将caffe依赖的所有第三方库与caffe静态编译一起，以满足全静态编译的要求。 通过本项目提供的脚本生成的caffe编译环境不需要在系统安装任何第三方库和软件，就可以自动完成caffe项目静态编译. 目前在centos6.5/ubuntu16/win7/win10上测试通过,windows上VS2013,VS2015,MinGW 5.2.0编译通过

Caffe Wide-Residual-Network (WRN) Generator

VGG16 architecture with BatchNorm

The core repository for the FOODON food ontology project. This holds the key classes of the ontology; larger files and the results of text-mining projects will be stored in other repos.

Use a barcode reader to scan the foods in your house and add them to a database. See legacy for zbarcam integration. Master integrates with a USB barcode laser scanner.

Semantically consistent regularizer for zero-shot learning

youtu.be/n4EuMTY3ehc

open source bagel recipe; let's raise the quality of bagels worldwide 🥯 🚀

Anthony's collection of cooking recipes

arcface and retinaface model convert mxnet to onnx.

crnn.caffe

My tests and experiments on Caffe, the deep learning framework by Berkeley Vision and Learning Center (BVLC) and its contributors.

Modified RefineDet

基于RabbitMQ简单实现验证码识别平台，训练网络模型智能识别图形验证码

Xception implemented with caffe

A Deep Learning Framework customized for Sunway TaihuLight

Food ordering template application using Ionic, Angular and Typescript.

The U-Net Segmentation server (caffe_unet) for Docker

This project is no longer functional. Zomato now requires OTP login.

Multiple ColorChecker Detection. This code implements a multiple colorChecker detection method, as described in the paper Fast and Robust Multiple ColorChecker Detection.

Implemetation of Pyramid Scene Parsing Network in Pytorch

The code for preparing the training data for crowd counting / segmentation algorithm.

A Caffe Implementation of SRGAN

A website dedicated to making recipes from any website easy to read.

The SimNets Architecture's Implementation in Caffe

No description or website provided.

Semantic Image Segmentation by Scale-Adaptive Networks (TIP 2019)

This repository contains the dataset and the source code for the classification of food categories from meal images.

最高会津若松情報🍜🍣🍛🍝🌮🍜

An Self learning AI Chatbot who doesnt let you waste food by recommending awesome Recipies

Convert image folder to lmdb, adapted from Efficient-PyTorch

🍔🍟🍗 Food analysis baseline with Theseus. Integrate object detection, image classification and multi-class semantic segmentation. 🍞🍖🍕

Open Food Facts API wrapper for Laravel

Open Food Facts mobile app, developed with Cordova, for iOS, Android, Windows Phone, FirefoxOS etc.

Caffe-to-Keras weight converter. Can also export weights as Numpy arrays for further processing.

Public scenarios to crowdsource experiments (such as DNN crowd-benchmarking and crowd-tuning) using Collective Knowledge Framework across diverse mobile devices provided by volunteers. Results are continuously aggregated at the open repository of knowledge:

PHP wrapper for Open Food Facts

A Node.js/Express.js REST API to GET a random picture of food dishes.

Python layer for the Caffe deep learning framework to compute the accuracy and the confusion matrix.

Multi-layer Recurrent Neural Networks (with LSTM) for character-level language models in Caffe

No description or website provided.

Training Low-bits DNNs with Stochastic Quantization

🔥 Android blog application, built with Firebase