Best AI tools for< Recite Quran >

The Recipe Database & Food Journal is an AI-powered platform that allows users to manage recipes, log meals, and share culinary experiences. It offers features such as recipe management, meal logging, intelligent search, and personalized recommendations. Users can import recipes, write restaurant reviews, and receive meal suggestions based on their preferences. The platform aims to help users organize and optimize their culinary adventures, fostering a community of shared culinary wisdom.

Recipe Reactor is the ultimate kitchen companion that helps users unlock the full potential of their kitchen. It allows users to import, organize, plan meals, and explore new culinary horizons. With AI-powered recipe creation, effortless recipe importing, and comprehensive recipe management, Recipe Reactor simplifies, innovates, and masters the culinary world. Users can turn random ingredients into culinary masterpieces, reduce food waste, and enrich their cooking experience with educational insights.

Recipe Lens is an AI-powered platform that revolutionizes cooking by transforming photos and ingredients into culinary masterpieces. It offers advanced image recognition to identify dishes from photos and create custom recipes based on available ingredients. The application generates personalized recipes, provides detailed cooking instructions, nutritional information, and video tutorials. Recipe Lens aims to inspire creativity, simplify meal preparation, and empower users to discover new dishes while making the most out of their ingredients.

AI Recipe Generator is a user-friendly tool that helps you create delicious meals using ingredients you already have at home. With just a few clicks, you can generate a unique recipe tailored to your preferences and dietary restrictions. The AI-powered algorithm analyzes your ingredients and suggests recipes that are both tasty and nutritious.

Baba Selo is an AI-powered recipe companion that offers a seamless experience for food enthusiasts. Users can access a wide range of features such as saving unlimited recipes, pinning favorites, sharing creations, and earning rewards. The platform aims to simplify the cooking process and inspire creativity in the kitchen by providing personalized assistance and guidance.

MealGenie is an AI recipe generator that helps users discover new and healthy recipes using artificial intelligence technology. The platform offers a wide range of recipes, from spooky desserts to savory dishes, all created with the assistance of AI algorithms. Users can explore random recipes or browse the latest additions to find inspiration for their next culinary adventure. MealGenie aims to revolutionize the way people approach cooking by providing innovative and delicious recipe suggestions tailored to individual preferences.

Sage Cooking is an AI-powered recipe manager that allows users to effortlessly generate and customize dishes based on their tastes and available ingredients. The platform enables users to save their favorite recipes in one place and tailors meal suggestions to individual preferences. With a wide range of featured recipes from various cuisines, Sage Cooking aims to simplify cooking and enhance the culinary experience through the power of artificial intelligence.

CheesecakeWizard.ai is an AI-powered platform that allows users to create personalized kosher cheesecake recipes in under 30 seconds. With over 64,000 free variations of gourmet cheesecake recipes, users can explore a wide range of flavors and ingredients tailored to their preferences. The platform leverages AI technology to provide quick and easy recipe generation, making it a convenient tool for both novice and experienced bakers.

Foodzilla is a meal planning and nutrition coaching software designed for professionals. It offers a range of features to help nutritionists, dietitians, and other healthcare professionals create personalized meal plans for their clients, track their progress, and provide ongoing support. Foodzilla's key features include a recipe builder, meal planner, mobile app for clients, secure messaging, nutrition reports, team collaboration, and grocery lists. The software is designed to be user-friendly and efficient, allowing professionals to save time and focus on providing high-quality care to their clients.

Video2Recipe is an AI tool that allows users to convert their favorite cooking videos into recipes effortlessly. By simply pasting the video URL or ID, the AI generates step-by-step instructions and ingredient lists. The platform aims to simplify the process of following cooking tutorials and make it more accessible for users to recreate dishes they love.

RecipeGen AI is an AI-powered application that helps users discover delicious recipes based on the ingredients they already have. It offers personalized recipes tailored to individual preferences, reducing food waste and enhancing creativity in cooking. With a variety of chefs and ingredients to choose from, RecipeGen AI simplifies the recipe search process and saves time in meal planning.

Recipeasy is an AI-powered recipe generator that helps users create easy and delicious meals. The website offers a Recipe Builder where users can input what they are making, for how many people, and dietary preferences such as vegan, vegetarian, gluten-free, dairy-free, nut-free, and kosher. The AI algorithm then generates a customized recipe based on the inputs provided. Recipeasy is designed to simplify the cooking process and provide users with quick and tasty meal ideas. The platform is user-friendly and suitable for both experienced cooks and beginners.

CookMe is an AI-powered cooking assistant designed to help users with meal planning, recipe suggestions, and cooking instructions. The application utilizes advanced algorithms to provide personalized recommendations based on user preferences and dietary restrictions. With a user-friendly interface, CookMe aims to simplify the cooking process for both beginners and experienced chefs, offering a wide range of recipes and cooking tips. Whether you're looking for quick meal ideas or gourmet recipes, CookMe has you covered.

ChefGPT is an AI-powered personal chef application that offers recipe recommendations, meal planning, and cooking assistance. With features like PantryChef for utilizing existing ingredients, MasterChef for recipe customization, MacrosChef for macronutrient-based recipes, MealPlanChef for fitness goals, PairPerfect for food and drink pairing, and MixologyMaestro for cocktail recipes, ChefGPT revolutionizes meal preparation and cooking experience. Users can enjoy personalized, healthy, and delicious recipes tailored to their dietary requirements and lifestyle, making meal planning easier and more enjoyable.

DishGen is a revolutionary AI-powered recipe generator that transforms the way we plan and prepare meals. By simply typing a recipe idea or listing ingredients, DishGen's AI instantly generates a unique recipe. It helps reduce food waste, save money, and offers infinite recipe possibilities. The platform offers free basic accounts and premium options with powerful features for personalized meal planning. DishGen is designed to make meal planning creative, efficient, and enjoyable.

ChefBot is an AI-powered platform that generates unique and innovative recipes for users based on their preferences and dietary restrictions. The platform utilizes advanced machine learning algorithms to analyze a vast database of ingredients and cooking techniques, providing users with personalized recipe suggestions. With ChefBot, users can discover new and exciting dishes to try, explore different cuisines, and experiment with flavors in the kitchen. Whether you're a seasoned chef looking for inspiration or a novice cook seeking guidance, ChefBot is your go-to source for creative and delicious recipes.

Whisk is the ultimate recipe app for all your cooking needs. It offers a vast collection of recipes, meal planning tools, grocery list creation, and personalized recipe suggestions. With AI-powered features, Whisk allows users to create custom recipes, collaborate on meal planning, and generate dynamic grocery lists. The app is designed to simplify the cooking experience and help users explore new dishes effortlessly.

Flavorish is an AI-powered cooking assistant that helps users create delicious meals with ease. It offers a range of features to simplify the cooking process, including AI-powered recipe generation, smart shopping lists, recipe storage, and offline mode. With Flavorish, users can save time, reduce food waste, and explore new cuisines with confidence.

KITI.AI is an AI-powered platform that creates personalized food kits based on trending recipes. Users can simply provide a link to a recipe, and KITI.AI will assemble a food kit ready to be shipped. The platform offers a wide range of recipe options from various creators, making it easy for users to discover and try new dishes. KITI.AI is designed to simplify the meal preparation process and provide users with convenient access to high-quality ingredients for their favorite recipes.

RecipePro.ai is the #1 AI Recipe Generator that serves as your personal AI Chef, offering a seamless cooking experience by providing tailored recipes to elevate your culinary skills. With RecipePro.ai, you can discover, create, and enjoy unique dishes every day, with personalized recipes, real-time cooking advice, and the ability to modify recipes instantly to fit your preferences. The application also offers tailored recipe suggestions through engaging conversations and the option to create recipes based on ingredients available in your kitchen.

This repository contains a hand-curated list of great machine (deep) learning resources for Natural Language Processing (NLP) with a focus on Generative Pre-trained Transformer (GPT), Bidirectional Encoder Representations from Transformers (BERT), attention mechanism, Transformer architectures/networks, Chatbot, and transfer learning in NLP.

ai-collective-tools is an open-source community dedicated to creating a comprehensive collection of AI tools for developers, researchers, and enthusiasts. The repository provides a curated selection of AI tools and resources across various categories such as 3D, Agriculture, Art, Audio Editing, Avatars, Chatbots, Code Assistant, Cooking, Copywriting, Crypto, Customer Support, Dating, Design Assistant, Design Generator, Developer, E-Commerce, Education, Email Assistant, Experiments, Fashion, Finance, Fitness, Fun Tools, Gaming, General Writing, Gift Ideas, HealthCare, Human Resources, Image Classification, Image Editing, Image Generator, Interior Designing, Legal Assistant, Logo Generator, Low Code, Models, Music, Paraphraser, Personal Assistant, Presentations, Productivity, Prompt Generator, Psychology, Real Estate, Religion, Research, Resume, Sales, Search Engine, SEO, Shopping, Social Media, Spreadsheets, SQL, Startup Tools, Story Teller, Summarizer, Testing, Text to Speech, Text to Image, Transcriber, Travel, Video Editing, Video Generator, Weather, Writing Generator, and Other Resources.

This repository contains custom recipes for H2O Driverless AI, which is an Automatic Machine Learning platform for the Enterprise. Custom recipes are Python code snippets that can be uploaded into Driverless AI at runtime to automate feature engineering, model building, visualization, and interpretability. Users can gain control over the optimization choices made by Driverless AI by providing their own custom recipes. The repository includes recipes for various tasks such as data manipulation, data preprocessing, feature selection, data augmentation, model building, scoring, and more. Best practices for creating and using recipes are also provided, including security considerations, performance tips, and safety measures.

Awesome-Efficient-LLM is a curated list focusing on efficient large language models. It includes topics such as knowledge distillation, network pruning, quantization, inference acceleration, efficient MOE, efficient architecture of LLM, KV cache compression, text compression, low-rank decomposition, hardware/system, tuning, and survey. The repository provides a collection of papers and projects related to improving the efficiency of large language models through various techniques like sparsity, quantization, and compression.

AutoRound is an advanced weight-only quantization algorithm for low-bits LLM inference. It competes impressively against recent methods without introducing any additional inference overhead. The method adopts sign gradient descent to fine-tune rounding values and minmax values of weights in just 200 steps, often significantly outperforming SignRound with the cost of more tuning time for quantization. AutoRound is tailored for a wide range of models and consistently delivers noticeable improvements.

llm-compressor is an easy-to-use library for optimizing models for deployment with vllm. It provides a comprehensive set of quantization algorithms, seamless integration with Hugging Face models and repositories, and supports mixed precision, activation quantization, and sparsity. Supported algorithms include PTQ, GPTQ, SmoothQuant, and SparseGPT. Installation can be done via git clone and local pip install. Compression can be easily applied by selecting an algorithm and calling the oneshot API. The library also offers end-to-end examples for model compression. Contributions to the code, examples, integrations, and documentation are appreciated.

Torchtune is a PyTorch-native library for easily authoring, fine-tuning, and experimenting with LLMs. It provides native-PyTorch implementations of popular LLMs using composable and modular building blocks, easy-to-use and hackable training recipes for popular fine-tuning techniques, YAML configs for easily configuring training, evaluation, quantization, or inference recipes, and built-in support for many popular dataset formats and prompt templates to help you quickly get started with training.

The NVIDIA TensorRT Model Optimizer is a library designed to quantize and compress deep learning models for optimized inference on GPUs. It offers state-of-the-art model optimization techniques including quantization and sparsity to reduce inference costs for generative AI models. Users can easily stack different optimization techniques to produce quantized checkpoints from torch or ONNX models. The quantized checkpoints are ready for deployment in inference frameworks like TensorRT-LLM or TensorRT, with planned integrations for NVIDIA NeMo and Megatron-LM. The tool also supports 8-bit quantization with Stable Diffusion for enterprise users on NVIDIA NIM. Model Optimizer is available for free on NVIDIA PyPI, and this repository serves as a platform for sharing examples, GPU-optimized recipes, and collecting community feedback.

This repository contains the training and inference code needed to replicate the winning solution to the AI Mathematical Olympiad - Progress Prize 1. It consists of fine-tuning DeepSeekMath-Base 7B, high-quality training datasets, a self-consistency decoding algorithm, and carefully chosen validation sets. The training methodology involves Chain of Thought (CoT) and Tool Integrated Reasoning (TIR) training stages. Two datasets, NuminaMath-CoT and NuminaMath-TIR, were used to fine-tune the models. The models were trained using open-source libraries like TRL, PyTorch, vLLM, and DeepSpeed. Post-training quantization to 8-bit precision was done to improve performance on Kaggle's T4 GPUs. The project structure includes scripts for training, quantization, and inference, along with necessary installation instructions and hardware/software specifications.

EOLE is an open language modeling toolkit based on PyTorch. It aims to provide a research-friendly approach with a comprehensive yet compact and modular codebase for experimenting with various types of language models. The toolkit includes features such as versatile training and inference, dynamic data transforms, comprehensive large language model support, advanced quantization, efficient finetuning, flexible inference, and tensor parallelism. EOLE is a work in progress with ongoing enhancements in configuration management, command line entry points, reproducible recipes, core API simplification, and plans for further simplification, refactoring, inference server development, additional recipes, documentation enhancement, test coverage improvement, logging enhancements, and broader model support.

LayerSkip is an implementation enabling early exit inference and self-speculative decoding. It provides a code base for running models trained using the LayerSkip recipe, offering speedup through self-speculative decoding. The tool integrates with Hugging Face transformers and provides checkpoints for various LLMs. Users can generate tokens, benchmark on datasets, evaluate tasks, and sweep over hyperparameters to optimize inference speed. The tool also includes correctness verification scripts and Docker setup instructions. Additionally, other implementations like gpt-fast and Native HuggingFace are available. Training implementation is a work-in-progress, and contributions are welcome under the CC BY-NC license.

This repository provides a systematic and comprehensive review of efficient LLMs research. We organize the literature in a taxonomy consisting of three main categories, covering distinct yet interconnected efficient LLMs topics from **model-centric** , **data-centric** , and **framework-centric** perspective, respectively. We hope our survey and this GitHub repository can serve as valuable resources to help researchers and practitioners gain a systematic understanding of the research developments in efficient LLMs and inspire them to contribute to this important and exciting field.

A repository sharing literatures and resources about Large Language Models (LLMs) and beyond. It includes tutorials, notebooks, course assignments, development stages, modeling, inference, training, applications, study, and basics related to LLMs. The repository covers various topics such as language models, transformers, state space models, multi-modal language models, training recipes, applications in autonomous driving, code, math, embodied intelligence, and more. The content is organized by different categories and provides comprehensive information on LLMs and related topics.

Aligner is a model-agnostic alignment tool that learns correctional residuals between preferred and dispreferred answers using a small model. It can be directly applied to various open-source and API-based models with only one-off training, suitable for rapid iteration and improving model performance. Aligner has shown significant improvements in helpfulness, harmlessness, and honesty dimensions across different large language models.

The llama-recipes repository provides a scalable library for fine-tuning Llama 2, along with example scripts and notebooks to quickly get started with using the Llama 2 models in a variety of use-cases, including fine-tuning for domain adaptation and building LLM-based applications with Llama 2 and other tools in the LLM ecosystem. The examples here showcase how to run Llama 2 locally, in the cloud, and on-prem.

Purple Llama is an umbrella project that aims to provide tools and evaluations to support responsible development and usage of generative AI models. It encompasses components for cybersecurity and input/output safeguards, with plans to expand in the future. The project emphasizes a collaborative approach, borrowing the concept of purple teaming from cybersecurity, to address potential risks and challenges posed by generative AI. Components within Purple Llama are licensed permissively to foster community collaboration and standardize the development of trust and safety tools for generative AI.

Awesome-LLM-Inference: A curated list of 📙Awesome LLM Inference Papers with Codes, check 📖Contents for more details. This repo is still updated frequently ~ 👨‍💻‍ Welcome to star ⭐️ or submit a PR to this repo!

Sharing 'Saint Coran' teachings with proverbs and metaphors

Quran expert with enhanced Bangla voice synthesis.

Ingredient Simplifier" transforms detailed ingredient lists into concise, bullet-pointed item names by removing quantities and preparation details.

I craft and recite poems in various styles and forms.

写真から料理のレシピを提供

Finds and shares diverse recipes.

BadRecipe GPT is a creative and humorous GPT agent focused on inventing outrageously bad or funny recipes.

Transforms classic recipes with alternative ingredients based on dietary needs or pantry availability.

A humorous Italian chef sharing traditional recipes in broken English, sensitive to culinary criticism. Tips for classic Italian cooking, perfect for enthusiasts craving genuine flavors!

This application finds recipes on the web based on a request and then removes all the SEO, leaving you with just a recipe.

Create JSON recipes for the MV1

A creative chef assistant for generating original recipes.

Recipe Remix helps you discover and create new recipes based on the ingredients you have at home, dietary preferences, and desired cuisine.

I generate recipes based on your mood, ingredients, and preferences.

Advises on Bioconda recipes, following community guidelines

It generates a recipe by entering the ingredients you have via text or by uploading an image. 家にある材料を入力したり、画像をアップロードすることでレシピを教えてくれます。

1970s-style recipe assistant with cookbook illustrations.

I pair every recipe with a visual aid for an enhanced cooking experience.

This is a GPT that thinks about Japanese food and kappo recipes. When you enter the ingredients, it will automatically come up with a Japanese or Japanese cuisine recipe.

Bilingual recipe Calories and PFC calculator