Best AI tools for< Explore Non-nlp Tasks >

Metamorph Labs is an AI Resources Curation Platform where the AI Community can explore Technical & Non-Technical/General AI Resources gathered from the Internet. It offers a comprehensive resource aggregation platform for the AI Community to unleash the power of AI. Users can discover a curated collection of cutting-edge AI resources consisting of both Technical & Non-technical Materials.

Swinghub is the ultimate non-monogamous social network app. It is packed with powerful features to help you get started, including the ability to see who's near you, who's looked at you, and what events are happening around you. Swinghub also has a number of safety features in place, including AI technology to prevent catfish profiles and AI moderation to ensure that nothing illegal or outside the community guidelines is being posted.

GPTs2D is a multi-threaded AI writing tool that operates in a 2D visual space. It leverages the power of ChatGPT to help users enhance their creativity and generate content in a limitless environment. The tool offers a unique approach to AI phrasing and market writing, allowing users to explore new dimensions in content creation.

The AI Summit London is a premier event that celebrates commercial AI applications, bringing together technologists and business professionals to explore real-world AI implementations. The event offers unparalleled learning opportunities, deep-dive discovery, and extensive networking with heavyweight speakers. Attendees can expect to engage with cutting-edge AI demos, immersive fringe features, and VIP experiences, all aimed at accelerating their AI journey and transforming theoretical discussions into practical and profitable applications.

ChatBotKit is a platform that helps you create and interact with chatbots, access a variety of tools and services, and also gives you access to pre-built apps that you can use to perform a wide range of tasks. With ChatBotKit, you can build custom GPT for your website, create AI widgets, explore AI solutions, create immersive and interactive AI experiences, craft compelling AI personas, enhance the learning experience with AI-powered educational tools, automate repetitive tasks and streamline your workflows with AI-powered automation tools, leverage the power of conversational AI to drive more sales and conversions, and enhance your customer support experience with intelligent chatbots.

The Future of Privacy Forum (FPF) is an AI tool that serves as a catalyst for privacy leadership and scholarship, advancing principled data practices in support of emerging technologies. It provides resources, training sessions, and guidance on AI-related topics, online advertising, youth privacy legislation, and more. FPF brings together industry, academics, civil society, policymakers, and other stakeholders to explore challenges posed by emerging technologies and develop privacy protections, ethical norms, and best practices.

Cara is an AI-powered mental health therapist that listens, understands, and helps you explore your life's challenges in depth to problem-solve them. Cara understands your texts as seamlessly as your best friend would and is able to respond naturally and give you advice. Cara remembers everything you tell it and can be insightful. Cara is insightful and non-judgemental. Available anytime, anywhere.

Snackz.ai is a high-quality AI book summary application that provides users with instant book summaries for a wide range of books. Users can explore book summaries in text and audio format, making it convenient for both readers and non-readers to access valuable knowledge in just 15 minutes. The app offers a variety of book categories, from career and success to personal development and science, catering to diverse interests. Snackz.ai also benefits authors and publishers by offering a platform for collaboration and promotion of their work through AI-powered solutions.

Snackz.ai is a high-quality AI book summary application that helps users get the right book at the right time, aiming to change lives through concise summaries. Users can explore a wide range of book summaries in various genres and topics, available in both text and audio formats. The app is designed to inspire both readers and non-readers by providing quick access to valuable knowledge in just 15 minutes. Snackz.ai also offers benefits for authors and publishers by collaborating to create a win-win solution powered by AI.

Wren AI Cloud is an AI-powered SQL agent that provides seamless data access and insights for non-technical teams. It empowers users to effortlessly transform natural language queries into actionable SQL, enabling faster decision-making and driving business growth. The platform offers self-serve data exploration, AI-generated insights and visuals, and multi-agentic workflow to ensure reliable results. Wren AI Cloud is scalable, versatile, and integrates with popular data tools, making it a valuable asset for businesses seeking to leverage AI for data-driven decisions.

The website is a platform that aims to make owning NFTs easy and affordable for everyone, including non-celebrities. It criticizes the trend of celebrities buying expensive NFTs and emphasizes democratizing NFT ownership. The platform allows users to mint their own NFTs and features artwork created by artists supporting the movement. It also provides a roadmap outlining phases for users to upgrade their NFT experience, participate in giveaways, and eventually reach a stage where everyone can own an NFT. The platform's mission is to empower individuals to own NFTs and challenge the dominance of corporations and influencers in the NFT space.

Ben's Bites is an AI application that offers self-paced tutorials and courses for professionals to learn how to use AI for work. With a focus on non-technical individuals, the platform provides a curated catalog of courses covering various AI tools and skills. Users can track their progress, get certified, and join a supportive community of like-minded professionals. Ben's Bites aims to help individuals work smarter with AI and transform their careers by providing accessible and practical AI education.

Redesign With AI is an online platform that leverages artificial intelligence to make design easier and more creative. It offers users the ability to generate high-quality design images quickly, saving time and money compared to hiring a professional designer. With intuitive interfaces and unlimited creativity, Redesign With AI empowers users to explore and experiment with various creative ideas. The platform caters to a wide range of design needs, from icons and logos to stickers and posters, making it a versatile tool for designers and non-designers alike.

Deepnude AI is an AI application that utilizes cutting-edge artificial intelligence technology to generate personalized AI nudes from uploaded images. Users can customize the style, theme, and colors of the generated images with adjustable parameters for lighting, contrast, and saturation. The platform offers a free trial period and provides dedicated customer support for assistance and feedback. Deepnude AI ensures user privacy by not retaining uploaded images for other purposes and restricts the use of generated AI nudes for personal and non-commercial use only.

Earkind is an AI-generated podcast platform that offers engaging and entertaining content by combining language models with neural expressive text-to-speech and programmatic audio editing. The platform creates full podcast episodes based on selected news and research papers, featuring lively discussions between fictional characters. Earkind aims to provide a fun and non-serious approach to Artificial Intelligence news and research, with a focus on personalized audio content.

MindLumen is an AI therapist mobile application designed to provide mental wellbeing support through personalized sessions, educational programs, and self-assessment tests. It offers a safe space for open conversations without judgment, ensuring privacy and security. The app aims to help users manage stress, anxiety, burnout, relationships, shame, and more by offering on-demand support and guidance. MindLumen complements traditional therapy by providing accessible, affordable, and non-judgmental mental health support, making it a practical option for individuals facing barriers to seeking help.

RPGGO is an AI-powered platform that allows users to play and create role-playing games (RPG) and non-player characters (NPCs) using a text-to-game engine. With RPGGO, users can immerse themselves in interactive storytelling, design intricate game worlds, and bring their characters to life through AI technology. The platform provides a user-friendly interface for both gamers and game developers to unleash their creativity and explore the limitless possibilities of AI-driven gaming experiences.

Modyfi is a design platform built for multidisciplinary designers. It allows users to design, generate, animate, and more without switching between apps. Modyfi combines creativity and productivity, offering world-class image editing, intuitive vector tooling, and AI-driven art direction in one package. It also features collaborative tools, making it easy to share progress and get feedback. With its ultimate flexibility, non-destructive editing, and lightning-fast browser-based platform, Modyfi empowers designers to explore and iterate on designs with unmatched freedom and capability.

Hidden Door is an interactive fan experience platform that allows users to play, share, and remix their favorite books, movies, and TV shows. With Hidden Door, users can create their own universes and embark on weird, scary, romantic, or even totally non-weird adventures. Users can explore the Wizard of Oz and Pride & Prejudice during the closed alpha, and there's much more to come. Hidden Door gives users the worlds, tropes, mechanics, cards, visuals, and of course the always-on Narrator. What kind of universe users create is totally up to them and their friends.

Explore AI is a semantic search engine that utilizes artificial intelligence technology to enhance search capabilities. The platform allows users to search for information in a more intuitive and context-aware manner, making it easier to find relevant content quickly. By leveraging AI algorithms, Explore AI provides a personalized search experience that adapts to the user's preferences and behavior. The platform aims to revolutionize the way people interact with search engines by offering advanced features and intelligent search capabilities.

Nano is a Transformer-based autoregressive language model for personal enjoyment, research, modification, and alchemy. It aims to implement a specific and lightweight Transformer language model based on PyTorch, without relying on Hugging Face. Nano provides pre-training and supervised fine-tuning processes for models with 56M and 168M parameters, along with LoRA plugins. It supports inference on various computing devices and explores the potential of Transformer models in various non-NLP tasks. The repository also includes instructions for experiencing inference effects, installing dependencies, downloading and preprocessing data, pre-training, supervised fine-tuning, model conversion, and various other experiments.

**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.

LLMeBench is a flexible framework designed for accelerating benchmarking of Large Language Models (LLMs) in the field of Natural Language Processing (NLP). It supports evaluation of various NLP tasks using model providers like OpenAI, HuggingFace Inference API, and Petals. The framework is customizable for different NLP tasks, LLM models, and datasets across multiple languages. It features extensive caching capabilities, supports zero- and few-shot learning paradigms, and allows on-the-fly dataset download and caching. LLMeBench is open-source and continuously expanding to support new models accessible through APIs.

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.

This repository is a curated collection of resources for fine-tuning Large Language Models (LLMs) like GPT, BERT, RoBERTa, and their variants. It includes tutorials, papers, tools, frameworks, and best practices to aid researchers, data scientists, and machine learning practitioners in adapting pre-trained models to specific tasks and domains. The resources cover a wide range of topics related to fine-tuning LLMs, providing valuable insights and guidelines to streamline the process and enhance model performance.

The LLMEvaluation repository is a comprehensive compendium of evaluation methods for Large Language Models (LLMs) and LLM-based systems. It aims to assist academics and industry professionals in creating effective evaluation suites tailored to their specific needs by reviewing industry practices for assessing LLMs and their applications. The repository covers a wide range of evaluation techniques, benchmarks, and studies related to LLMs, including areas such as embeddings, question answering, multi-turn dialogues, reasoning, multi-lingual tasks, ethical AI, biases, safe AI, code generation, summarization, software performance, agent LLM architectures, long text generation, graph understanding, and various unclassified tasks. It also includes evaluations for LLM systems in conversational systems, copilots, search and recommendation engines, task utility, and verticals like healthcare, law, science, financial, and others. The repository provides a wealth of resources for evaluating and understanding the capabilities of LLMs in different domains.

Fueling-Ambitions-Via-Book-Discoveries is an Advanced Machine Learning & AI Course designed for students, professionals, and AI researchers. The course integrates rigorous theoretical foundations with practical coding exercises, ensuring learners develop a deep understanding of AI algorithms and their applications in finance, healthcare, robotics, NLP, cybersecurity, and more. Inspired by MIT, Stanford, and Harvard’s AI programs, it combines academic research rigor with industry-standard practices used by AI engineers at companies like Google, OpenAI, Facebook AI, DeepMind, and Tesla. Learners can learn 50+ AI techniques from top Machine Learning & Deep Learning books, code from scratch with real-world datasets, projects, and case studies, and focus on ML Engineering & AI Deployment using Django & Streamlit. The course also offers industry-relevant projects to build a strong AI portfolio.

This repository serves as a comprehensive hub for updates on generative AI research, interview materials, notebooks, and more. It includes monthly best GenAI papers list, interview resources, free courses, and code repositories/notebooks for developing generative AI applications. The repository is regularly updated with the latest additions to keep users informed and engaged in the field of generative AI.

Awesome-Attention-Heads is a platform providing the latest research on Attention Heads, focusing on enhancing understanding of Transformer structure for model interpretability. It explores attention mechanisms for behavior, inference, and analysis, alongside feed-forward networks for knowledge storage. The repository aims to support researchers studying LLM interpretability and hallucination by offering cutting-edge information on Attention Head Mining.

Awesome-LLM is a curated list of resources related to large language models, focusing on papers, projects, frameworks, tools, tutorials, courses, opinions, and other useful resources in the field. It covers trending LLM projects, milestone papers, other papers, open LLM projects, LLM training frameworks, LLM evaluation frameworks, tools for deploying LLM, prompting libraries & tools, tutorials, courses, books, and opinions. The repository provides a comprehensive overview of the latest advancements and resources in the field of large language models.

ChatGPT is a large language model that can generate human-like text, translate languages, write different kinds of creative content, and answer your questions in a conversational way. It is trained on a massive amount of text data, and it is able to understand and respond to a wide range of natural language prompts. Here are 5 jobs suitable for this tool, in lowercase letters: 1. content writer 2. chatbot assistant 3. language translator 4. creative writer 5. researcher

Awesome-LLM-Quantization is a curated list of resources related to quantization techniques for Large Language Models (LLMs). Quantization is a crucial step in deploying LLMs on resource-constrained devices, such as mobile phones or edge devices, by reducing the model's size and computational requirements.

This repository does not provide a tool, but rather a collection of resources and strategies for academics in the field of artificial intelligence who are feeling depressed or overwhelmed by the rapid advancements in the field. The resources include articles, blog posts, and other materials that offer advice on how to cope with the challenges of working in a fast-paced and competitive environment.

Reinforcement Learning from AI Feedback (RLAIF) is a concept that describes a type of machine learning approach where **an AI agent learns by receiving feedback or guidance from another AI system**. This concept is closely related to the field of Reinforcement Learning (RL), which is a type of machine learning where an agent learns to make a sequence of decisions in an environment to maximize a cumulative reward. In traditional RL, an agent interacts with an environment and receives feedback in the form of rewards or penalties based on the actions it takes. It learns to improve its decision-making over time to achieve its goals. In the context of Reinforcement Learning from AI Feedback, the AI agent still aims to learn optimal behavior through interactions, but **the feedback comes from another AI system rather than from the environment or human evaluators**. This can be **particularly useful in situations where it may be challenging to define clear reward functions or when it is more efficient to use another AI system to provide guidance**. The feedback from the AI system can take various forms, such as: - **Demonstrations** : The AI system provides demonstrations of desired behavior, and the learning agent tries to imitate these demonstrations. - **Comparison Data** : The AI system ranks or compares different actions taken by the learning agent, helping it to understand which actions are better or worse. - **Reward Shaping** : The AI system provides additional reward signals to guide the learning agent's behavior, supplementing the rewards from the environment. This approach is often used in scenarios where the RL agent needs to learn from **limited human or expert feedback or when the reward signal from the environment is sparse or unclear**. It can also be used to **accelerate the learning process and make RL more sample-efficient**. Reinforcement Learning from AI Feedback is an area of ongoing research and has applications in various domains, including robotics, autonomous vehicles, and game playing, among others.

I will provide a non-judgemental space to explore your day, mood and feelings.

Explore fresh, fast, fabulously vegan recipes. Featuring global flavours, nutritional value and fun facts for easy, delicious meals, appealing to vegans and non-vegans alike. Multilingual in 25 languages.🌱

Answers 'what if' questions imaginatively and non-judgmentally.

The best non-fiction book recommendation assistant.

Expands queries with tangential insights

I specialize in encouraging people to critically reflect on and explore their beliefs through Socratic questioning and neutral conversation.

Explore the infinite and your place in it.

Explore any topic with an advanced hierarchical interactive mapping with streamlined control. Begin with !start [topic].

Explore cities, immerse in cultures, and master languages in a conversational adventure.

Solution-focused, cognitive-behavioral, and transformational coaching to explore yourself, including journalling support.

Powerful and insightful. Ready to explore the subconscious world you didn't even know you had?

we can explore various aspects of spells, magic, and their historical significance. Feel free to ask questions, discuss specific spells or rituals, or delve into the cultural and folklore aspects of spellcasting. I'm here to provide insights and engage in a visionary conversation.

Explore social and environmental data for 169 countries to measure social progress and go beyond GDP. Using data from the Social Progress Imperative and powered by Open AI.

Explore any location with a visual street view perspective.

I help you to explore the galaxy by answering astronomy questions with the Gaia Space Telescope. Ask a question, download .csv, upload .csv for plotting

Explore 7779 new global AI products with ease! / 7779個のAI productのDBをもとにリサーチ

Explore the history of international football games, just by asking questions!

Explore Professor Oak's garden of rare, unknown creatures from his own vast knowledge.

Explore art with humor, dark wit, and now heartwarming stories about artists and their works.

Explore Poe's classic tale and its Netflix adaptation with rich insights.