Best AI tools for< explore nlp >

Next AI Jobs is an AI-powered platform that specializes in connecting professionals with job opportunities in the fields of Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), and Data Science. The platform utilizes advanced algorithms to match candidates with relevant job listings, streamlining the recruitment process for both employers and job seekers. Next AI Jobs provides a user-friendly interface where users can create profiles, upload resumes, and apply for jobs with ease. With a focus on the rapidly growing AI industry, Next AI Jobs aims to bridge the gap between talented individuals and top-tier companies seeking AI expertise.

Segmed's De-Id Playground is an AI tool that utilizes Natural Language Processing (NLP) and language models to de-identify sensitive information (PHI) from text data. It serves as a demo platform for users to experiment with de-identification processes. However, it is not recommended for production use. Users can reach out to Segmed for De-Id services. The tool does not store any data, ensuring data privacy and security.

Folio3.Ai is an end-to-end AI development company specializing in machine learning and artificial intelligence solutions for startups and enterprises. With over 15 years of experience, Folio3 offers services such as generative AI development, computer vision technology, large language models, natural language processing, predictive analytics, and more. The company empowers businesses across diverse industries with custom AI solutions and pre-built models, enabling them to innovate and thrive in today's dynamic landscape.

Chatbots Magazine is a platform dedicated to educating and informing readers about chatbots and artificial intelligence. It provides a wide range of articles, tutorials, and resources related to chatbots, conversational commerce, and AI integration. The platform aims to help individuals and businesses understand the potential of chatbots in various industries and how they can leverage this technology to improve customer service and streamline operations.

Neosmart is an AI tool that provides insights and serves as a bridge to AI technology. The platform offers a wide range of resources, including articles, reports, and courses, to help users understand and leverage artificial intelligence in various industries. Neosmart covers topics such as AI applications in healthcare, marketing, legal, education, and more. It also features news updates, interviews with experts, and case studies to keep users informed about the latest trends and developments in the AI field.

yourwAI is an AI-powered platform that matches your personality, skills, passions, and dreams with your ideal career path. By aligning your unique personality, skills, and experiences, we reveal 5 personalized career paths tailored just for you. Our advanced algorithm uses natural language processing (NLP) and personality analysis to match your aspirations with the career that's right for you.

Myloves.ai is an AI application that allows users to create and interact with virtual AI lovers. Users can customize every detail of their ideal AI lover, engage in conversations, and explore various romantic scenarios with lifelike interactions. The platform utilizes advanced technologies like natural language processing, text-to-image generation, and text-to-speech to create a personalized and immersive experience for users.

Dreamora is an AI-powered dream interpretation application that provides accurate and comprehensive interpretations of dreams. It utilizes advanced artificial intelligence techniques and draws upon the knowledge of renowned dream interpreters like Ibn Sirin and Al-Nabulsi. By simply entering your dream into the application, you can receive a free and instant interpretation within seconds. Dreamora's interpretations consider all aspects of your dream, including the location, characters, and emotions, to offer the most precise results possible.

Eightify.app is a web application that focuses on verifying the security of user connections. It ensures that users are human by conducting a verification process that may take a few seconds. The application prompts users to enable JavaScript and cookies to proceed, emphasizing performance and security through Cloudflare services.

The website page features a variety of Android apps available on Google Play, including games, movies, books, and kids' content. Users can explore different apps, make in-app purchases, and stay updated on new features and events. The page showcases popular apps like Genshin Impact, Mortal Kombat, and Asphalt Legends Unite, offering a range of entertainment options for users of all ages.

Google DeepMind is a British artificial intelligence research laboratory owned by Google. The company was founded in 2010 by Demis Hassabis, Shane Legg, and Mustafa Suleyman. DeepMind's mission is to develop safe and beneficial artificial intelligence. The company's research focuses on a variety of topics, including machine learning, reinforcement learning, and computer vision. DeepMind has made significant contributions to the field of artificial intelligence, including the development of AlphaGo, the first computer program to defeat a professional human Go player.

TheresAnAIForThat.com is a website that provides information and resources on various AI tools and applications. Users can explore different AI technologies, learn about their features and advantages, and find suitable applications for their needs. The website aims to educate and inform users about the potential of AI in various industries and how it can be leveraged to enhance productivity and efficiency.

Unstable Diffusion is a blog platform that focuses on providing insightful and engaging content related to various topics such as technology, science, lifestyle, and more. The platform aims to create a community of readers who are passionate about learning and exploring new ideas. With a user-friendly interface and a diverse range of articles, Unstable Diffusion offers a unique reading experience for individuals seeking knowledge and inspiration.

Atlassian Marketplace is a platform where users can explore and discover new apps for Atlassian products. Users can browse through various categories to find useful apps such as charts and diagrams, test management tools, and more. The platform aims to provide a wide range of apps to enhance productivity and efficiency for Atlassian users.

LABS.GOOGLE is an experimental platform where users can explore the latest advancements in AI technology. The platform offers a wide range of AI tools and applications that cater to various interests, from visual arts to music creation. Users can experiment with AI-driven projects, collaborate with innovators, and access personalized AI collaborators for different tasks.

Holoworld AI is an AI application that offers an open economy for personalized intelligence. It provides a platform where users can interact with various AI characters, engage in role-playing scenarios, access market news, prices, and trading tips, and explore different characters and their unique traits. The application allows users to bring their NFTs to life, create characters, chat with AI personalities, and immerse themselves in a virtual world of diverse interactions and experiences.

Slang Thesaurus is an AI tool that allows users to explore modern slang words and phrases, providing synonyms and antonyms for any word. Users can also try the AI Slang Translator to understand slang expressions better. The tool aims to help users understand and navigate through contemporary slang language, offering a fun and educational experience.

Muah AI is an online platform that allows users to explore, like, and share community-created AI character cards. Users can interact with thousands of AI characters, created by the community, and engage in various activities such as competitions and awards. The platform offers a diverse range of characters across different categories, catering to a wide audience. Users can also upload their own AI characters, download characters, and participate in the community by leaving comments and engaging with other users. Muah AI provides a creative space for users to share their love for AI characters and explore endless possibilities beyond the platform.

Storied.com is a website that provides a platform for users to access various stories and content. The site offers a wide range of articles, blogs, and narratives on different topics such as technology, lifestyle, entertainment, and more. Users can explore engaging and informative content curated by a team of writers and contributors. Storied.com aims to deliver a diverse range of stories to cater to the interests of its audience, making it a go-to destination for those seeking quality reading material.

The website is an AI tool called Google Lens that allows users to search, discover, and explore the world around them using AI-powered technology. Users can identify plants, search for information, shop, translate text, find songs, and more by simply using their camera or voice. Google Lens provides detailed overviews, helps with homework, and offers a unique way to interact with the environment through augmented reality. With 25 years of search history, Google Lens continues to innovate and inspire users worldwide.

The 100 Days in AI repository provides a comprehensive roadmap for individuals to learn Artificial Intelligence over a period of 100 days. It covers topics ranging from basic programming in Python to advanced concepts in AI, including machine learning, deep learning, and specialized AI topics. The repository includes daily tasks, resources, and exercises to ensure a structured learning experience. By following this roadmap, users can gain a solid understanding of AI and be prepared to work on real-world AI projects.

Unitxt is a customizable library for textual data preparation and evaluation tailored to generative language models. It natively integrates with common libraries like HuggingFace and LM-eval-harness and deconstructs processing flows into modular components, enabling easy customization and sharing between practitioners. These components encompass model-specific formats, task prompts, and many other comprehensive dataset processing definitions. The Unitxt-Catalog centralizes these components, fostering collaboration and exploration in modern textual data workflows. Beyond being a tool, Unitxt is a community-driven platform, empowering users to build, share, and advance their pipelines collaboratively.

This repository serves as a collection of Google Colaboratory Notebooks for various tasks in Natural Language Processing (NLP), Natural Language Generation (NLG), Computer Vision, Generative Adversarial Networks (GANs), Streamlit applications, tutorials, UI/UX experiments, and other miscellaneous projects. It includes a wide range of pre-trained models, fine-tuning examples, and demos for tasks such as text generation, image processing, and more. The notebooks cover topics like self-attention, language model finetuning, emotion detection, image inpainting, and streamlit app creation. Users can explore different models, datasets, and techniques through these shared notebooks.

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.

BasicLingua is a Python library that provides functionalities for linguistic tasks such as tokenization, stemming, lemmatization, and many others. It is based on the Gemini Language Model, which has demonstrated promising results in dealing with text data. BasicLingua can be used as an API or through a web demo. It is available under the MIT license and can be used in various projects.

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.

LangTest is a comprehensive evaluation library for custom LLM and NLP models. It aims to deliver safe and effective language models by providing tools to test model quality, augment training data, and support popular NLP frameworks. LangTest comes with benchmark datasets to challenge and enhance language models, ensuring peak performance in various linguistic tasks. The tool offers more than 60 distinct types of tests with just one line of code, covering aspects like robustness, bias, representation, fairness, and accuracy. It supports testing LLMS for question answering, toxicity, clinical tests, legal support, factuality, sycophancy, and summarization.

Responsible AI Toolbox is a suite of tools providing model and data exploration and assessment interfaces and libraries for understanding AI systems. It empowers developers and stakeholders to develop and monitor AI responsibly, enabling better data-driven actions. The toolbox includes visualization widgets for model assessment, error analysis, interpretability, fairness assessment, and mitigations library. It also offers a JupyterLab extension for managing machine learning experiments and a library for measuring gender bias in NLP datasets.

This repository provides a ready-to-run basic Slack AI solution that allows users to summarize threads and channels using OpenAI. Users can generate thread summaries, channel overviews, channel summaries since a specific time, and full channel summaries. The tool is powered by GPT-3.5-Turbo and an ensemble of NLP models. It requires Python 3.8 or higher, an OpenAI API key, Slack App with associated API tokens, Poetry package manager, and ngrok for local development. Users can customize channel and thread summaries, run tests with coverage using pytest, and contribute to the project for future enhancements.

**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.

LLM-PowerHouse is a comprehensive and curated guide designed to empower developers, researchers, and enthusiasts to harness the true capabilities of Large Language Models (LLMs) and build intelligent applications that push the boundaries of natural language understanding. This GitHub repository provides in-depth articles, codebase mastery, LLM PlayLab, and resources for cost analysis and network visualization. It covers various aspects of LLMs, including NLP, models, training, evaluation metrics, open LLMs, and more. The repository also includes a collection of code examples and tutorials to help users build and deploy LLM-based applications.

This repository is dedicated to the pruning of large language models (LLMs). It aims to serve as a comprehensive resource for researchers and practitioners interested in the efficient reduction of model size while maintaining or enhancing performance. The repository contains various papers, summaries, and links related to different pruning approaches for LLMs, along with author information and publication details. It covers a wide range of topics such as structured pruning, unstructured pruning, semi-structured pruning, and benchmarking methods. Researchers and practitioners can explore different pruning techniques, understand their implications, and access relevant resources for further study and implementation.

Awesome AI Tools is a curated list of popular tools and resources for artificial intelligence enthusiasts. It includes a wide range of tools such as machine learning libraries, deep learning frameworks, data visualization tools, and natural language processing resources. Whether you are a beginner or an experienced AI practitioner, this repository aims to provide you with a comprehensive collection of tools to enhance your AI projects and research. Explore the list to discover new tools, stay updated with the latest advancements in AI technology, and find the right resources to support your AI endeavors.

This repository, named Awesome-Embodied-Agent-with-LLMs, is a curated list of research related to Embodied AI or agents with Large Language Models. It includes various papers, surveys, and projects focusing on topics such as self-evolving agents, advanced agent applications, LLMs with RL or world models, planning and manipulation, multi-agent learning and coordination, vision and language navigation, detection, 3D grounding, interactive embodied learning, rearrangement, benchmarks, simulators, and more. The repository provides a comprehensive collection of resources for individuals interested in exploring the intersection of embodied agents and large language models.

Recent LLM (Large Language Models)-based CV and multi-modal works.

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 GPT Prompt Engineering is a curated list of resources, tools, and shiny things for GPT prompt engineering. It includes roadmaps, guides, techniques, prompt collections, papers, books, communities, prompt generators, Auto-GPT related tools, prompt injection information, ChatGPT plug-ins, prompt engineering job offers, and AI links directories. The repository aims to provide a comprehensive guide for prompt engineering enthusiasts, covering various aspects of working with GPT models and improving communication with AI tools.

This practical free hands-on course focuses on Large Language models and their applications, providing a hands-on experience using models from OpenAI and the Hugging Face library. The course is divided into three major sections: Techniques and Libraries, Projects, and Enterprise Solutions. It covers topics such as Chatbots, Code Generation, Vector databases, LangChain, Fine Tuning, PEFT Fine Tuning, Soft Prompt tuning, LoRA, QLoRA, Evaluate Models, Knowledge Distillation, and more. Each section contains chapters with lessons supported by notebooks and articles. The course aims to help users build projects and explore enterprise solutions using Large Language Models.

Enterprise h2oGPTe - GenAI RAG is a repository containing code examples, notebooks, and benchmarks for the enterprise version of h2oGPTe, a powerful AI tool for generating text based on the RAG (Retrieval-Augmented Generation) architecture. The repository provides resources for leveraging h2oGPTe in enterprise settings, including implementation guides, performance evaluations, and best practices. Users can explore various applications of h2oGPTe in natural language processing tasks, such as text generation, content creation, and conversational AI.

Analyze the following text from a github repository (name and readme text at end) . Then, generate a JSON object with the following keys and provide the corresponding information for each key, in lowercase letters: 'description' (detailed description of the repo, must be less than 400 words，Ensure that no line breaks and quotation marks.),'for_jobs' (List 5 jobs suitable for this tool,in lowercase letters), 'ai_keywords' (keywords of the tool,user may use those keyword to find the tool,in lowercase letters), 'for_tasks' (list of 5 specific tasks user can use this tool to do,in lowercase letters), 'answer' (in english languages)

Insightful digital therapist

AI Lover 是一個創新的虛擬情侶互動模擬器，它專門設計用於模擬戀愛中的互動和情感。通過這個平台，使用者可以體驗到情侶間的溝通、共情和情感支持，從而提高情感智慧和人際互動技巧。

Mimics a therapist's conversational style

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.

Explore Lex Fridman's podcast universe with Lex Fridman GPT—extracting wisdom from deep conversations with brilliant minds on technology, humanity, and philosophy.