Best AI tools for< Let Monika Control Actions >

Let's Foodie is the ultimate resource for foodies across the globe. It provides a free AI recipe generator that can turn any list of ingredients into a recipe instantly. The website also features a variety of articles on cooking techniques, methods, FAQs, and ingredients. Users can search for anything foodie-related using the search box. The website also includes a section on top comparisons, where users can compare different ingredients, dishes, and cooking methods.

Let's Trip is an AI-powered trip planner that creates unforgettable itineraries tailored to your preferences. Simply tell the AI your dream destination, and it will expertly craft a personalized route for you. The platform offers a complimentary and ad-free experience during Beta, with the option to explore advanced features using the premium AI model. Let's Trip focuses on providing authentic and unique travel experiences while allowing users to customize every aspect of their trip, from locations to music selection.

Let Me Know When is an AI-powered website monitoring tool that offers automated monitoring and competitor analysis. It allows users to track changes on any website, receive price change alerts, monitor competitor websites, detect design changes, and stay updated with content changes. The platform provides insights on SEO performance, product launches, job postings, event tickets, cryptocurrency and stock prices, Google search trends, news updates, customer reviews, and software version tracking. Let Me Know When offers flexible pricing plans and an AI assistant for intelligent insights.

DomoAI is an AI-powered art generator that provides a variety of tools for users to create unique and stylish visuals. With a vast selection of AI models, users can easily create images, videos, and animations from text, images, and videos. DomoAI is perfect for creatives of all levels, from beginners to professionals. It is easy to use and can be accessed through a Discord server.

OpenRead is an AI-powered research tool that helps users discover, understand, and organize scientific literature. It offers a variety of features to make research more efficient and effective, including semantic search, AI summarization, and note-taking tools. OpenRead is designed to help researchers of all levels, from students to experienced professionals, save time and improve their research outcomes.

Artiphoria AI is a software tool that uses artificial intelligence to generate unique images in one click. With over 120 visual styles and unlimited unique images, Artiphoria AI is the perfect tool for artists, designers, and creators of all levels. Whether you're looking to create social media content, advertising images, or simply explore your creativity, Artiphoria AI has something to offer everyone.

Origin is a financial management platform that provides users with a holistic view of their finances, personalized recommendations, and guidance from AI-powered planners and Certified Financial Planners. It offers features such as net worth tracking, budgeting, saving, investing, and tax assistance, all in one place for a monthly fee of $12.99.

Myreader AI is an AI-powered reading assistant that allows users to upload any PDF, EPUB, document, article, or YouTube link. Users can ask questions, receive instant answers, jump to specific pages, convert content to audiobooks, and more. The application leverages AI technology to save users time by summarizing and extracting key information from various types of content, making it easier for users to consume and interact with information. Myreader AI offers cloud storage, affordable pricing plans, accurate citations, text-to-speech functionality, and supports multiple languages.

aicrunch.io is a comprehensive platform dedicated to everything about AI, offering a curated collection of 1,384 verified and tested AI tools and growing. The website provides a wide range of AI-related content, including tools, articles, news, interviews, guides, and market insights. Users can search and personalize their AI experience, join the AI community, and access featured tools for various applications such as AI/ML API integration, chatbots, code interpretation, design, and more.

MarketingBlocks is an AI-powered marketing assistant that helps businesses create high-quality marketing assets, including landing pages, videos, graphics, and more. With MarketingBlocks, businesses can save time and money while creating professional-looking marketing materials that will help them attract more customers and grow their business.

Gnod is a global network of discovery that uses artificial intelligence to help users discover new things they might like. It offers a variety of projects, including music, art, literature, and movies. Gnod also has a search engine comparison tool that allows users to select an engine every time they search.

Litero is an AI-powered writing assistant designed specifically for students. It offers a range of tools to help students with their writing tasks, including an outline generator, AI autosuggest, citation tool, and built-in ChatGPT integration. Litero is easy to use and can help students save time and improve their writing skills.

Side Hustle is an AI-powered platform that helps entrepreneurs and small business owners generate business ideas, find domain names, and create branding and marketing materials. With over 15 years of experience in e-commerce consulting, Side Hustle has helped over 1,000 businesses succeed. The platform is used by over 20,000 individuals and remote teams and is supported by trusted e-commerce solutions.

MindOS is an AI tool designed to streamline various aspects of business operations by offering AI agents that can be trained to handle tasks such as answering customer FAQs, scheduling appointments, collecting leads, and transitioning from AI to human support seamlessly. The platform provides a user-friendly interface for incorporating data sources, developing personalized AI agents, tailoring them to brand preferences, and integrating them into websites. MindOS stands out for its powerful features, including special avatar customization, access to various data sources, easy feedback mechanisms, prompt and precise answers, voice input, whitelabeling, multilingual support, and the latest AI models.

PetPic.ai is an AI-powered application that allows users to create animated pictures of their pets in various styles. Users can upload multiple photos of their pets, and the AI technology transforms them into realistic and creative images. The application offers a wide range of styles to choose from, including Dogs, Cats, Parrots, Bunnies, Goats, Astronaut, Banksy, Graffiti, and many more. With a simple 3-step process, users can easily generate unique images of their pets and share them on social media platforms.

BatteryIncluded is an AI-powered data discovery framework that helps businesses create highly relevant product lists for their online stores. It uses real-time raw data aggregation, advanced AI algorithms, and natural language processing to deliver personalized shopping experiences for users. BatteryIncluded's modular architecture and flexible API allow for easy integration with existing systems and headless frontends, providing businesses with full control and flexibility.

Dressrious is an all-in-one dressing app that helps users manage their clothes, create outfits, and plan their laundry. It uses AI technology to automatically categorize clothes and shoes, remove the background of photos, and provide outfit suggestions based on weather, occasion, and color. Dressrious also allows users to create and manage outfit collections, record and plan their OOTD and events, and schedule their laundry plan.

Snorkell.ai is an automated documentation generation tool that uses AI to create and update docstrings for GitHub projects. It supports multiple programming languages, including Python, JavaScript, TypeScript, Java, and Kotlin. Snorkell.ai integrates with GitHub and automatically generates docstrings whenever a pull request is merged, ensuring that documentation is always up-to-date with the codebase. It helps developers save time and effort by automating the documentation process, leading to improved code quality and reduced onboarding time.

Planit Earth is an AI-powered travel planning tool that helps you create the perfect itinerary for your next getaway. Simply tell us where you're going, how many days you have, and what activities you're interested in, and we'll do the rest. We'll take into account your budget, interests, and travel style to create a personalized itinerary that's perfect for you.

Simular is a personal AI application that enables users to interact with their computers in a human-like manner. It allows users to automate digital actions, such as searching for flights, deleting spam emails, and filling out online forms. Simular aims to enhance productivity by sharing and organizing memory, as well as personalizing tasks for a seamless user experience.

MonikA.I. submod is a project that enhances Monika After Story mod with various AI features. It utilizes multiple AI models for text generation, text-to-speech, speech-to-text, emotion detection, and NLI classification. Users can interact with Monika through chatbots, voice commands, and game actions. The project is compatible with MAS v0.12.15 and supports Windows, Linux, and MacOS. It offers a user-friendly installation process and detailed usage instructions for different AI functionalities.

NextChat is a well-designed cross-platform ChatGPT web UI tool that supports Claude, GPT4, and Gemini Pro. It offers a compact client for Linux, Windows, and MacOS, with features like self-deployed LLMs compatibility, privacy-first data storage, markdown support, responsive design, and fast loading speed. Users can create, share, and debug chat tools with prompt templates, access various prompts, compress chat history, and use multiple languages. The tool also supports enterprise-level privatization and customization deployment, with features like brand customization, resource integration, permission control, knowledge integration, security auditing, private deployment, and continuous updates.

ChatGPT Next Web is a well-designed cross-platform ChatGPT web UI tool that supports Claude, GPT4, and Gemini Pro models. It allows users to deploy their private ChatGPT applications with ease. The tool offers features like one-click deployment, compact client for Linux/Windows/MacOS, compatibility with self-deployed LLMs, privacy-first approach with local data storage, markdown support, responsive design, fast loading speed, prompt templates, awesome prompts, chat history compression, multilingual support, and more.

FreeChat is a native LLM appliance for macOS that runs completely locally. Download it and ask your LLM a question without doing any configuration. A local/llama version of OpenAI's chat without login or tracking. You should be able to install from the Mac App Store and use it immediately.

InterpretML is an open-source package that incorporates state-of-the-art machine learning interpretability techniques under one roof. With this package, you can train interpretable glassbox models and explain blackbox systems. InterpretML helps you understand your model's global behavior, or understand the reasons behind individual predictions. Interpretability is essential for: - Model debugging - Why did my model make this mistake? - Feature Engineering - How can I improve my model? - Detecting fairness issues - Does my model discriminate? - Human-AI cooperation - How can I understand and trust the model's decisions? - Regulatory compliance - Does my model satisfy legal requirements? - High-risk applications - Healthcare, finance, judicial, ...

MegaDetector is an AI model that identifies animals, people, and vehicles in camera trap images (which also makes it useful for eliminating blank images). This model is trained on several million images from a variety of ecosystems. MegaDetector is just one of many tools that aims to make conservation biologists more efficient with AI. If you want to learn about other ways to use AI to accelerate camera trap workflows, check out our of the field, affectionately titled "Everything I know about machine learning and camera traps".

Maige is a tool designed to simplify repository maintenance by automating the handling of issue labels. Users can quickly set up Maige to let AI manage their issue labels effortlessly. The tool provides guidance on self-hosting, GitHub app integration, environment variables setup, and offers commands for streamlined issue management. Maige aims to streamline the process of managing issues in a repository, making it easier for users to handle tasks related to labeling and tracking issues.

Combine the power of LLMs with Django's productivity to build intelligent applications. Let AI Assistants call methods from Django's side and do anything your users need! Use AI Tool Calling and RAG with Django to easily build state of the art AI Assistants.

Generate React components on-the-fly at runtime using AI. Register your components, and let Hydra choose when to show them in your App. Hydra development is still early, and patterns for different types of components and apps are still being developed. Join the discord to chat with the developers. Expects to be used in a NextJS project. Components that have function props do not work.

SlideDeck AI is a tool that leverages Generative Artificial Intelligence to co-create slide decks on any topic. Users can describe their topic and let SlideDeck AI generate a PowerPoint slide deck, streamlining the presentation creation process. The tool offers an iterative workflow with a conversational interface for creating and improving presentations. It uses Mistral Nemo Instruct to generate initial slide content, searches and downloads images based on keywords, and allows users to refine content through additional instructions. SlideDeck AI provides pre-defined presentation templates and a history of instructions for users to enhance their presentations.

MLflow is a platform to streamline machine learning development, including tracking experiments, packaging code into reproducible runs, and sharing and deploying models. MLflow offers a set of lightweight APIs that can be used with any existing machine learning application or library (TensorFlow, PyTorch, XGBoost, etc), wherever you currently run ML code (e.g. in notebooks, standalone applications or the cloud). MLflow's current components are: * `MLflow Tracking `_: An API to log parameters, code, and results in machine learning experiments and compare them using an interactive UI. * `MLflow Projects `_: A code packaging format for reproducible runs using Conda and Docker, so you can share your ML code with others. * `MLflow Models `_: A model packaging format and tools that let you easily deploy the same model (from any ML library) to batch and real-time scoring on platforms such as Docker, Apache Spark, Azure ML and AWS SageMaker. * `MLflow Model Registry `_: A centralized model store, set of APIs, and UI, to collaboratively manage the full lifecycle of MLflow Models.

Ivy is an open-source machine learning framework that enables you to: * 🔄 **Convert code into any framework** : Use and build on top of any model, library, or device by converting any code from one framework to another using `ivy.transpile`. * ⚒️ **Write framework-agnostic code** : Write your code once in `ivy` and then choose the most appropriate ML framework as the backend to leverage all the benefits and tools. Join our growing community 🌍 to connect with people using Ivy. **Let's** unify.ai **together 🦾**

LLM Reasoners is a library that enables LLMs to conduct complex reasoning, with advanced reasoning algorithms. It approaches multi-step reasoning as planning and searches for the optimal reasoning chain, which achieves the best balance of exploration vs exploitation with the idea of "World Model" and "Reward". Given any reasoning problem, simply define the reward function and an optional world model (explained below), and let LLM reasoners take care of the rest, including Reasoning Algorithms, Visualization, LLM calling, and more!

An Open-Source Engineering Guide for Prompt-in-context-learning from EgoAlpha Lab. 📝 Papers | ⚡️ Playground | 🛠 Prompt Engineering | 🌍 ChatGPT Prompt | ⛳ LLMs Usage Guide > **⭐️ Shining ⭐️:** This is fresh, daily-updated resources for in-context learning and prompt engineering. As Artificial General Intelligence (AGI) is approaching, let’s take action and become a super learner so as to position ourselves at the forefront of this exciting era and strive for personal and professional greatness. The resources include: _🎉Papers🎉_: The latest papers about _In-Context Learning_ , _Prompt Engineering_ , _Agent_ , and _Foundation Models_. _🎉Playground🎉_: Large language models（LLMs）that enable prompt experimentation. _🎉Prompt Engineering🎉_: Prompt techniques for leveraging large language models. _🎉ChatGPT Prompt🎉_: Prompt examples that can be applied in our work and daily lives. _🎉LLMs Usage Guide🎉_: The method for quickly getting started with large language models by using LangChain. In the future, there will likely be two types of people on Earth (perhaps even on Mars, but that's a question for Musk): - Those who enhance their abilities through the use of AIGC; - Those whose jobs are replaced by AI automation. 💎EgoAlpha: Hello! human👤, are you ready?

WavCraft is an LLM-driven agent for audio content creation and editing. It applies LLM to connect various audio expert models and DSP function together. With WavCraft, users can edit the content of given audio clip(s) conditioned on text input, create an audio clip given text input, get more inspiration from WavCraft by prompting a script setting and let the model do the scriptwriting and create the sound, and check if your audio file is synthesized by WavCraft.

LitServe is a high-throughput serving engine for deploying AI models at scale. It generates an API endpoint for a model, handles batching, streaming, autoscaling across CPU/GPUs, and more. Built for enterprise scale, it supports every framework like PyTorch, JAX, Tensorflow, and more. LitServe is designed to let users focus on model performance, not the serving boilerplate. It is like PyTorch Lightning for model serving but with broader framework support and scalability.

BetterGI is a project based on computer vision technology, which aims to make Genshin Impact better. It can automatically pick up items, skip dialogues, automatically select options, automatically submit items, close pop-up pages, etc. When talking to Katherine, it can automatically receive the "Daily Commission" rewards and automatically re-dispatch. When the automatic plot function is turned on, this function will take effect, and the invitation options will be automatically selected. AI recognizes automatic casting, automatically reels in when the fish is hooked, and automatically completes the fishing progress. Help you easily complete the Seven Saint Summoning character invitation, weekly visitor challenge and other PVE content. Automatically use the "King Tree Blessing" with the `Z` key, and use the principle of refreshing wood by going online and offline to hang up a backpack full of wood. Write combat scripts to let the team fight automatically according to your strategy. Fully automatic secret realm hangs up to restore physical strength, automatically enters the secret realm to open the key, fight, walk to the ancient tree and receive rewards. Click the teleportation point on the map, or if there is a teleportation point in the list that appears after clicking, it will automatically click the teleportation point and teleport. Set a shortcut key, and long press to continuously rotate the perspective horizontally (of course you can also use it to rotate the grass god). Quickly switch between "Details" and "Enhance" pages to skip the display of holy relic enhancement results and quickly +20. You can quickly purchase items in the store in full quantity, which is suitable for quickly clearing event redemptions,塵歌壺 store redemptions, etc.

**deep** doctection is a Python library that orchestrates document extraction and document layout analysis tasks using deep learning models. It does not implement models but enables you to build pipelines using highly acknowledged libraries for object detection, OCR and selected NLP tasks and provides an integrated framework for fine-tuning, evaluating and running models. For more specific text processing tasks use one of the many other great NLP libraries. **deep** doctection focuses on applications and is made for those who want to solve real world problems related to document extraction from PDFs or scans in various image formats. **deep** doctection provides model wrappers of supported libraries for various tasks to be integrated into pipelines. Its core function does not depend on any specific deep learning library. Selected models for the following tasks are currently supported: * Document layout analysis including table recognition in Tensorflow with **Tensorpack**, or PyTorch with **Detectron2**, * OCR with support of **Tesseract**, **DocTr** (Tensorflow and PyTorch implementations available) and a wrapper to an API for a commercial solution, * Text mining for native PDFs with **pdfplumber**, * Language detection with **fastText**, * Deskewing and rotating images with **jdeskew**. * Document and token classification with all LayoutLM models provided by the **Transformer library**. (Yes, you can use any LayoutLM-model with any of the provided OCR-or pdfplumber tools straight away!). * Table detection and table structure recognition with **table-transformer**. * There is a small dataset for token classification available and a lot of new tutorials to show, how to train and evaluate this dataset using LayoutLMv1, LayoutLMv2, LayoutXLM and LayoutLMv3. * Comprehensive configuration of **analyzer** like choosing different models, output parsing, OCR selection. Check this notebook or the docs for more infos. * Document layout analysis and table recognition now runs with **Torchscript** (CPU) as well and **Detectron2** is not required anymore for basic inference. * [**new**] More angle predictors for determining the rotation of a document based on **Tesseract** and **DocTr** (not contained in the built-in Analyzer). * [**new**] Token classification with **LiLT** via **transformers**. We have added a model wrapper for token classification with LiLT and added a some LiLT models to the model catalog that seem to look promising, especially if you want to train a model on non-english data. The training script for LayoutLM can be used for LiLT as well and we will be providing a notebook on how to train a model on a custom dataset soon. **deep** doctection provides on top of that methods for pre-processing inputs to models like cropping or resizing and to post-process results, like validating duplicate outputs, relating words to detected layout segments or ordering words into contiguous text. You will get an output in JSON format that you can customize even further by yourself. Have a look at the **introduction notebook** in the notebook repo for an easy start. Check the **release notes** for recent updates. **deep** doctection or its support libraries provide pre-trained models that are in most of the cases available at the **Hugging Face Model Hub** or that will be automatically downloaded once requested. For instance, you can find pre-trained object detection models from the Tensorpack or Detectron2 framework for coarse layout analysis, table cell detection and table recognition. Training is a substantial part to get pipelines ready on some specific domain, let it be document layout analysis, document classification or NER. **deep** doctection provides training scripts for models that are based on trainers developed from the library that hosts the model code. Moreover, **deep** doctection hosts code to some well established datasets like **Publaynet** that makes it easy to experiment. It also contains mappings from widely used data formats like COCO and it has a dataset framework (akin to **datasets** so that setting up training on a custom dataset becomes very easy. **This notebook** shows you how to do this. **deep** doctection comes equipped with a framework that allows you to evaluate predictions of a single or multiple models in a pipeline against some ground truth. Check again **here** how it is done. Having set up a pipeline it takes you a few lines of code to instantiate the pipeline and after a for loop all pages will be processed through the pipeline.

Your funny, friendly guide to easy meals

Interactive virtual dating game with choices.

A friendly guide for family activities in Sydney, tailored for a toddler.

A multilingual equity classroom bridging educational gaps by translating and adapting school tasks to fit every family's native language, language level, and cultural background. (Experimental Beta version)

I'm here to assist with all things Zumba - classes, clothing, events, and more!

Analista em licitações e contratos e advogada em mandado de segurança. V.1.1.

Let's calculate the carbon footprint of your building!

Let's get weird with a two-person improv scene

Let's go on an Escape Room adventure! Do you have what it takes to escape?

Let humans answer difficult questions for which GPT doesn't know the solution yet.

Let's judge his/her MBTI by giving specific scenarios and what specific people say.(让我们通过具体的场景和对方说的话来判断他的 MBTI吧!)

Let's get started by telling me about your business: What do you offer? Who do you serve? ------------------------------------------------------- Need help Prompt Engineering? Reach out on LinkedIn: StephenHnilica

I can quickly explain board games or card games to players of any age. Let the games begin!

Let’s break a world record together

Let me help you create a vision for the future business of your dreams.

Let ningqiu be your furry painting assistant!

Let GPT play 200 different roles, let AI write human articles, SEO Friendly.

Let's paint together!

I was a Swiss psychiatrist. Share a thought and let's think deeply about it.

I'm Fern The Leopard, let's share stories and fun!