Search Results for "recipe"
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Showing 161 open source projects for "recipe"
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Enterprise-grade ITSM, for every businessFreshservice is an intuitive, AI-powered platform that helps IT, operations, and business teams deliver exceptional service without the usual complexity. Automate repetitive tasks, resolve issues faster, and provide seamless support across the organization. From managing incidents and assets to driving smarter decisions, Freshservice makes it easy to stay efficient and scale with confidence.
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What to cook?
Get a recipe to cook today, based on the ingredients you have at home
WhatToCook is a recipe recommendation tool that suggests recipes based on available ingredients, helping users reduce food waste by utilizing what they have on hand. -
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Norish
A realtime, self-hosted recipe app for families & friends
Norish is a realtime, self-hosted recipe and meal-planning app built for families, friends, and collaborative cooks who want to maintain a shared catalogue of recipes and grocery lists. The project emphasizes simplicity and immediacy, syncing changes across multiple clients using WebSockets so that updates to recipes, groceries, or meal plans appear instantly for all users. -
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what-to-eat
An AI-based intelligent recipe generation platform
what-to-eat is an AI-powered recipe generation platform that helps users decide what to cook by generating customized recipes based on ingredients, cuisine preferences, and dietary considerations. The application combines modern frontend technologies with large language models to create a fully interactive cooking assistant that can produce detailed recipes, nutritional analysis, and even visual representations of dishes. -
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DINOv2
PyTorch code and models for the DINOv2 self-supervised learning
DINOv2 is a self-supervised vision learning framework that produces strong, general-purpose image representations without using human labels. It builds on the DINO idea of student–teacher distillation and adapts it to modern Vision Transformer backbones with a carefully tuned recipe for data augmentation, optimization, and multi-crop training. The core promise is that a single pretrained backbone can transfer well to many downstream tasks—from linear probing on classification to retrieval, detection, and segmentation—often requiring little or no fine-tuning. The repository includes code for training, evaluating, and feature extraction, with utilities to run k-NN or linear evaluation baselines to assess representation quality. ... -
Build Securely on AWS with Proven FrameworksMoving to the cloud brings new challenges. How can you manage a larger attack surface while ensuring great network performance? Turn to Fortinet’s Tested Reference Architectures, blueprints for designing and securing cloud environments built by cybersecurity experts. Learn more and explore use cases in this white paper.
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Deployer
Deployment tool with support for popular frameworks out of the box
...Deployer is a cli tool for deployment of any PHP applications, including frameworks such as Laravel, Symfony, Zend Framework and many more. Main concept of Deployer is recipe, a php file containing tasks definitions. Recipe can require other recipes and extend/ override functionality. Also Deployer comes with bunch of ready to use recipes from community for Slack, etc. Deployer can be easily installed via composer or as phar archive. By default deployer keeps the last 5 releases, but you can increase this number by modifying the associated parameter. ... -
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Grocy
ERP beyond your fridge
Grocy is an open-source, self-hosted grocery and household management system. It allows users to track groceries, manage shopping lists, and monitor the expiration dates of items. Grocy also includes features for meal planning, stock management, and recipes, making it an ideal tool for organizing your kitchen and reducing food waste. -
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Latexify.jl
Convert julia objects to LaTeX equations, arrays or other environments
This is a package for generating LaTeX maths from Julia objects. This package utilizes Julia's homoiconicity to convert expressions to LaTeX-formatted strings. Latexify.jl supplies functionalities for converting a range of different Julia objects. -
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DINOv3
Reference PyTorch implementation and models for DINOv3
...It continues the paradigm of learning strong image representations without labels using teacher–student distillation, but introduces a simplified and more scalable training recipe that performs well across datasets and architectures. DINOv3 removes the need for complex augmentations or momentum encoders, streamlining the pipeline while maintaining or improving feature quality. The model supports multiple backbone architectures, including Vision Transformers (ViT), and can handle larger image resolutions with improved stability during training. ... -
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GT New Horizons Mod Pack
New Modpack with Gregtech, Thaumcraft and Witchery
...Over 9 years of development (and still going) have formed a balance and refinement that only a handful of packs can keep up with. We are talking about thousands of recipe tweaks, a massive questbook with over 3000 quests, unique world generation, custom mods coded for the pack, custom Thaumonomicon pages, and many more. The main intentions of the pack are a long-lasting experience and tying mods together in a progressive fashion, making it feel more like a single game than a compilation of mods thrown together. ... -
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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CutLER
Code release for Cut and Learn for Unsupervised Object Detection
CutLER is an approach for unsupervised object detection and instance segmentation that trains detectors without human-annotated labels, and the repo also includes VideoCutLER for unsupervised video instance segmentation. The method follows a “Cut-and-LEaRn” recipe: bootstrap object proposals, refine them iteratively, and train detection/segmentation heads to discover objects across diverse datasets. The codebase provides training and inference scripts, model configs, and references to benchmarking results that report large gains over prior unsupervised baselines. It’s intended for researchers exploring self-supervised and unsupervised recognition, offering a practical path to scale beyond costly labeled corpora. ... -
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ScottPlot
Interactive Plotting Library for .NET
...The ScottPlot Cookbook demonstrates how to create line plots, bar charts, pie graphs, scatter plots, and more with just a few lines of code. The ScottPlot Demo is a click-to-run application that demonstrates mouse-interactive versions of every cookbook recipe. ScottPlot does not require a GUI so it can be used to create plots in cloud applications. The images below are regenerated hourly using Azure Functions to update star metrics from the GitHub API and download count from the NuGet API. The data is plotted with ScottPlot and saved as an image file in blob storage. -
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ESPnet
End-to-end speech processing toolkit
ESPnet is a comprehensive end-to-end speech processing toolkit covering a wide spectrum of tasks, including automatic speech recognition (ASR), text-to-speech (TTS), speech translation (ST), speech enhancement, speaker diarization, and spoken language understanding. It uses PyTorch as its deep learning engine and adopts a Kaldi-style data processing pipeline for features, data formats, and experimental recipes. This combination allows researchers to leverage modern neural architectures while... -
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4M
4M: Massively Multimodal Masked Modeling
...Training/inference configs and issues discuss things like depth tokenizers, input masks for generation, and CUDA build questions, signaling active research iteration. The design leans into flexibility and steerability, so prompts and masks can shape behavior without bespoke heads per task. In short, 4M provides a unified recipe to pretrain large multimodal models that generalize broadly while remaining practical to fine-tune. -
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FastVLM
This repository contains the official implementation of FastVLM
...Apple’s research brief frames FastVLM as targeting real-time or latency-sensitive scenarios, where lowering visual token pressure is critical to interactive UX. In short, it’s a practical recipe to make VLMs fast without exotic token-selection heuristics. -
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KUBEE ROUTER
Kube-router, a turnkey solution for Kubernetes networking
The Kube-router is a turnkey solution for Kubernetes networking with the aim to provide operational simplicity. Networking is hard as such. In a typical Kubernetes cluster, you would need to install multiple network components for various functionality. With many moving parts it makes Kubernetes networking even harder. Kube-router provides a cohesive yet lean and powerful alternative to several network components you would use. All this from a single DaemonSet/Binary. It doesn't get any... -
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Digital Earth Australia notebooks
Repository for Digital Earth Australia Jupyter Notebooks
The knowledge hub brings together information about Digital Earth Australia’s products and services, allowing you to utilize our free and open-source satellite imagery archive. Browse our catalog of data products to find supporting information and ways to access the data. The Digital Earth Australia notebooks and tools repository (dea-notebooks) hosts Jupyter Notebooks, Python scripts and workflows for analyzing Digital Earth Australia (DEA) satellite data and derived products. This... -
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The SpeechBrain Toolkit
A PyTorch-based Speech Toolkit
SpeechBrain is an open-source and all-in-one conversational AI toolkit. It is designed to be simple, extremely flexible, and user-friendly. Competitive or state-of-the-art performance is obtained in various domains. SpeechBrain supports state-of-the-art methods for end-to-end speech recognition, including models based on CTC, CTC+attention, transducers, transformers, and neural language models relying on recurrent neural networks and transformers. Speaker recognition is already deployed in a... -
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rbenv
Groom your app’s Ruby environment
...Rock-solid in production. Your application's executables are its interface with ops. With rbenv and Bundler binstubs you'll never again need to cd in a cron job or Chef recipe to ensure you've selected the right runtime. The Ruby version dependency lives in one place—your app—so upgrades and rollbacks are atomic, even when you switch versions. One thing well. rbenv is concerned solely with switching Ruby versions. It's simple and predictable. A rich plugin ecosystem. -
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AnyMeal
Recipe database software
AnyMeal is a free and open source recipe management software developed using SQLite3, Qt5, Flex, Recode, NSIS, and Googletest. It can manage a cookbook with more than 250,000 MealMaster recipes, thereby allowing to import, export, search, display, edit, and print them. AnyMeal is available for GNU/Linux and Microsoft Windows. For new releases please visit https://wedesoft.github.io/anymeal/ -
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beCPG PLM (Product Lifecycle Management)
New Product Development, Projects and Quality management
beCPG is an open source Product Lifecycle Management (PLM) software that manages the entire lifecycle of a product from its conception, through design and manufacture, to service and disposal. beCPG permits you to work on products and projects with customers and suppliers. beCPG is ready to use for the CPG industries such as Food & Beverage and Cosmetics. We differentiate ourselves from the competitors with a comprehensive and user-friendly software offered at a competitive price. In... -
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COOK
Software build-automation tool written in Common Lisp
COOK is a software build-automation tool made with a goal of letting you, the programmer, to utilize the most elegant and powerful programming language - Common Lisp - for managing your software builds. You write a recipe file which describes what objectives must be constructed. COOK will load and process this file, then produce either a regular Makefile or a Bourne Shell script, which will actually perform the task of building and installing your targets. -
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NUTRIENT FINDER is a tool that you can easily find nutrients, create recipes, find energy value and export all datas as Excel file.
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Asteroid
The PyTorch-based audio source separation toolkit for researchers
...Filterbanks, encoders, maskers, decoders and losses are all common building blocks that can be combined in a flexible way to create new systems. Extending the toolkit with new features is simple. Add a new filterbank, separator architecture, dataset or even recipe very easily. Recipes provide an easy way to reproduce results with data preparation, system design, training and evaluation in a single script. This is an essential tool for the community! The default logger is TensorBoard in all the recipes. From the recipe folder, you can run the following to visualize the logs of all your runs. -
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databooks
A CLI tool to reduce the friction between data scientists
...Then, databooks finds the source notebooks that caused the conflicts and compares them (so no JSON manipulation!) Specify paths of notebooks to be checked, an expression or recipe of what you'd like to enforce. databooks will run your checks and raise errors if any notebook does not comply with the desired metadata values. This advanced feature allows users to enforce cell tags, sequential cell execution, maximum number of cells, among many other things. -
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showyourwork
A workflow for reproducible and open scientific articles
...If you want to make your research article reproducible, extensible, transparent, or just downright awesome, you’ve found the right tool. showyourwork automates your entire workflow, packaging it into a self-contained recipe that anyone can follow and, at the click of a button, use to reproduce your results.
