AI tools for ner
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Nero Platinum Suite
Nero Platinum Suite is a comprehensive software collection for Windows PCs that provides a wide range of multimedia capabilities, including burning, managing, optimizing, and editing photos, videos, and music files. It includes various AI-powered features such as the Nero AI Image Upscaler, Nero AI Video Upscaler, and Nero AI Photo Tagger, which enhance and simplify multimedia tasks.
Nerdynav
Nerdynav is a website that provides reviews of AI tools and software for businesses. The website is run by Nav, a software developer and online entrepreneur who has tested over 100 tools to help businesses find the best solutions for their needs. Nerdynav's reviews are data-backed and provide insights into the features, advantages, and disadvantages of each tool. The website also includes articles on how to use AI to improve business processes and increase productivity.
Nerority AI
Nerority AI is an advanced AI application that offers bespoke AI services and solutions for businesses and individuals. It provides personalized AI consulting, prompt engineering, and AI solution design to empower users with cutting-edge AI capabilities. The application focuses on leveraging the latest AI technologies, such as GPT-4, to deliver innovative solutions tailored to meet specific needs and goals. With a dual focus on businesses and individuals, Nerority AI aims to drive growth, streamline processes, and enhance personal growth through adaptive and future-ready AI solutions.
Tinq.ai
Tinq.ai is a natural language processing (NLP) tool that provides a range of text analysis capabilities through its API. It offers tools for tasks such as plagiarism checking, text summarization, sentiment analysis, named entity recognition, and article extraction. Tinq.ai's API can be integrated into applications to add NLP functionality, such as content moderation, sentiment analysis, and text rewriting.
Best Man Pro
Best Man Pro is an AI-powered tool that helps users craft memorable best man speeches. With its simple three-step process, users can create a speech outline, generate three speech options to choose from, and refine their speech to perfection. The tool provides guidance and assistance throughout the process, ensuring that users can deliver a speech that is both heartfelt and polished. Best Man Pro is designed to help users overcome writer's block and create a speech that is tailored to their unique style and the occasion.
NuMind
NuMind is an AI tool designed to solve information extraction tasks efficiently. It offers high-quality lightweight models tailored to users' needs, automating classification, entity recognition, and structured extraction. The tool is powered by task-specific and domain-agnostic foundation models, outperforming GPT-4 and similar models. NuMind provides solutions for various industries such as insurance and healthcare, ensuring privacy, cost-effectiveness, and faster NLP projects.
Luma Dream Machine
Luma Dream Machine is a cutting-edge AI application that empowers users to ideate, visualize, and create stunning images and videos with ease. By leveraging powerful image and video AI models, users can bring their creative visions to life in a fluid and intuitive manner. The platform offers a range of features to facilitate fast iteration, creative exploration, and seamless editing, making it a go-to tool for artists, designers, and content creators seeking to push the boundaries of visual storytelling.
Luma AI
Luma AI is a 3D capture platform that allows users to create interactive 3D scenes from videos. With Luma AI, users can capture 3D models of people, objects, and environments, and then use those models to create interactive experiences such as virtual tours, product demonstrations, and training simulations.
FALTAH
FALTAH is an AI-powered Interview Simulation tool designed to help users practice interview questions, enhance their skills, and receive tips for their next interview. The tool utilizes artificial intelligence to provide personalized feedback, performance reports, personality analysis, and CV parsing. It aims to assist students, job seekers, and remote workers in improving their interview skills and increasing their job prospects.
Swoon
Swoon is an AI-powered dating assistant that helps users craft personalized messages, provides conversation starters, and offers tips to improve their chances of success on dating apps. It analyzes messages, gives personalized advice, boosts success rates, and saves time. Swoon is designed to help users stand out in the crowded world of online dating and increase their chances of matching with someone they really like.
Decision
Decision is a decision-making platform that uses AI to help individuals and teams make better, faster decisions. It offers features such as assisted decision-making, AI-powered assistant, spark creativity, write better, understand faster, prime prediction, proven frameworks, organized communication, and traceable history. Decision is designed to help users save time and nerves by providing logical suggestions, organizing thoughts, improving writing, and predicting the best course of action based on past successful decisions.
Jasper
Jasper is an AI copilot for enterprise marketing teams who want better outcomes, not just faster outputs. It is a central nervous system for all your content, allowing you to move faster with fewer miscommunications, and generate AI-assisted content from idea to execution faster, and with better outcomes. Jasper also provides analytics and insights to go beyond faster outputs to higher performing marketing.
Mindset AI
Mindset AI is a personalized AI psychologist application designed for high achieving empaths. It offers 100% anonymous AI chat channels specialized in various relationship dynamics such as love, parenting, and self-relationship. Trained by relationship therapists, the AI psychologists use modern therapy methods like childhood trauma theories, attachment theories, and Cognitive behavior therapy principles to help users regulate emotions, identify triggers, and practice non-violent communication. The app also provides somatic work for nervous system regulation and practical do's & don'ts in tricky situations.
CloudMinds
CloudMinds is a world-leading creator, producer, and operator of cloud robot systems and services. Founded in 2015, CloudMinds has created a unique Cloud Robot Architecture based on the vision of “Cloud AI Connecting To The Future”, and launched the HARIX Cloud AI Robot Operating System and end-to-end commercial services in 2017. With the mission of “Operating Smart Robots for People”, the company aims to lead the cutting-edge technologies development for building a humanoid robot for enterprise and families. Our cloud robots will help people to do dull, dirty, dangerous or demeaning (4D) work, and thus making people’s lives more enjoyable.
Microsure
Microsure is a company that develops microsurgical robots to help surgeons perform complex procedures with greater precision and dexterity. Their flagship product, MUSA, is a robot-assisted microsurgery platform that enables surgeons to operate on the smallest anatomical structures with high precision and enhanced dexterity. Microsure's mission is to leave no patient in need of microsurgery untreated.
X-Me
X-Me is an AI-powered platform that allows users to create realistic digital human videos using just a selfie video and text input. With X-Me, users can generate videos in over 147 languages, and the platform offers a variety of features to customize the videos, including the ability to add music, change the background, and adjust the lighting. X-Me is a powerful tool for creating engaging and shareable content, and it is perfect for businesses, educators, and anyone who wants to create high-quality videos without the need for expensive equipment or software.
Kanin
Gräv dig djupare ner i kaninhålet 🐰Skriv en fråga 🐰 Du får ett svar 🐰 Och sju följdfrågor med olika vinklar: 1) Fördjupande 2) Angränsande 3) Fråga med siffra/ord som svar 4) Fantasifull 5) Relaterad till människan 6) Historik 7) Framtidsorienterad 🐰
Sherlock Holmes, The Fact Finder
Finance fact-checker with accuracy scoring, using sources like NerdWallet, Investopedia, BEA, and St. Louis Fed.
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iris_android
This repository contains an offline Android chat application based on llama.cpp example. Users can install, download models, and run the app completely offline and privately. To use the app, users need to go to the releases page, download and install the app. Building the app requires downloading Android Studio, cloning the repository, and importing it into Android Studio. The app can be run offline by following specific steps such as enabling developer options, wireless debugging, and downloading the stable LM model. The project is maintained by Nerve Sparks and contributions are welcome through creating feature branches and pull requests.
Advanced-GPTs
Nerority's Advanced GPT Suite is a collection of 33 GPTs that can be controlled with natural language prompts. The suite includes tools for various tasks such as strategic consulting, business analysis, career profile building, content creation, educational purposes, image-based tasks, knowledge engineering, marketing, persona creation, programming, prompt engineering, role-playing, simulations, and task management. Users can access links, usage instructions, and guides for each GPT on their respective pages. The suite is designed for public demonstration and usage, offering features like meta-sequence optimization, AI priming, prompt classification, and optimization. It also provides tools for generating articles, analyzing contracts, visualizing data, distilling knowledge, creating educational content, exploring topics, generating marketing copy, simulating scenarios, managing tasks, and more.
nerve
Nerve is a tool that allows creating stateful agents with any LLM of your choice without writing code. It provides a framework of functionalities for planning, saving, or recalling memories by dynamically adapting the prompt. Nerve is experimental and subject to changes. It is valuable for learning and experimenting but not recommended for production environments. The tool aims to instrument smart agents without code, inspired by projects like Dreadnode's Rigging framework.
instruct-ner
Instruct NER is a solution for complex Named Entity Recognition tasks, including Nested NER, based on modern Large Language Models (LLMs). It provides tools for dataset creation, training, automatic metric calculation, inference, error analysis, and model implementation. Users can create instructions for LLM, build dictionaries with labels, and generate model input templates. The tool supports various entity types and datasets, such as RuDReC, NEREL-BIO, CoNLL-2003, and MultiCoNER II. It offers training scripts for LLMs and metric calculation functions. Instruct NER models like Llama, Mistral, T5, and RWKV are implemented, with HuggingFace models available for adaptation and merging.
basiclingua-LLM-Based-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.
simpletransformers
Simple Transformers is a library based on the Transformers library by HuggingFace, allowing users to quickly train and evaluate Transformer models with only 3 lines of code. It supports various tasks such as Information Retrieval, Language Models, Encoder Model Training, Sequence Classification, Token Classification, Question Answering, Language Generation, T5 Model, Seq2Seq Tasks, Multi-Modal Classification, and Conversational AI.
zshot
Zshot is a highly customizable framework for performing Zero and Few shot named entity and relationships recognition. It can be used for mentions extraction, wikification, zero and few shot named entity recognition, zero and few shot named relationship recognition, and visualization of zero-shot NER and RE extraction. The framework consists of two main components: the mentions extractor and the linker. There are multiple mentions extractors and linkers available, each serving a specific purpose. Zshot also includes a relations extractor and a knowledge extractor for extracting relations among entities and performing entity classification. The tool requires Python 3.6+ and dependencies like spacy, torch, transformers, evaluate, and datasets for evaluation over datasets like OntoNotes. Optional dependencies include flair and blink for additional functionalities. Zshot provides examples, tutorials, and evaluation methods to assess the performance of the components.
Awesome-AIGC-3D
Awesome-AIGC-3D is a curated list of awesome AIGC 3D papers, inspired by awesome-NeRF. It aims to provide a comprehensive overview of the state-of-the-art in AIGC 3D, including papers on text-to-3D generation, 3D scene generation, human avatar generation, and dynamic 3D generation. The repository also includes a list of benchmarks and datasets, talks, companies, and implementations related to AIGC 3D. The description is less than 400 words and provides a concise overview of the repository's content and purpose.
ComfyUI-HunyuanVideo-Nyan
ComfyUI-HunyuanVideo-Nyan is a repository that provides tools for manipulating the attention of LLM models, allowing users to shuffle the AI's attention and cause confusion. The repository includes a Nerdy Transformer Shuffle node that enables users to mess with the LLM's attention layers, providing a workflow for installation and usage. It also offers a new SAE-informed Long-CLIP model with high accuracy, along with recommendations for CLIP models. Users can find detailed instructions on how to use the provided nodes to scale CLIP & LLM factors and create high-quality nature videos. The repository emphasizes compatibility with other related tools and provides insights into the functionality of the included nodes.
empirical
Empirical is a tool that allows you to test different LLMs, prompts, and other model configurations across all the scenarios that matter for your application. With Empirical, you can run your test datasets locally against off-the-shelf models, test your own custom models and RAG applications, view, compare, and analyze outputs on a web UI, score your outputs with scoring functions, and run tests on CI/CD.
Awesome-LLM-Robotics
This repository contains a curated list of **papers using Large Language/Multi-Modal Models for Robotics/RL**. Template from awesome-Implicit-NeRF-Robotics Please feel free to send me pull requests or email to add papers! If you find this repository useful, please consider citing and STARing this list. Feel free to share this list with others! ## Overview * Surveys * Reasoning * Planning * Manipulation * Instructions and Navigation * Simulation Frameworks * Citation
multilspy
Multilspy is a Python library developed for research purposes to facilitate the creation of language server clients for querying and obtaining results of static analyses from various language servers. It simplifies the process by handling server setup, communication, and configuration parameters, providing a common interface for different languages. The library supports features like finding function/class definitions, callers, completions, hover information, and document symbols. It is designed to work with AI systems like Large Language Models (LLMs) for tasks such as Monitor-Guided Decoding to ensure code generation correctness and boost compilability.
ai-playground
The ai-playground repository contains code from tutorials presented on the Code AI with Rok YouTube channel. It includes tutorials on using the OpenAI Assistants API v1 beta to build personal math tutors, customer support chatbots, and more. Additionally, there are tutorials on using Gemini Pro API, Snowflake Cortex LLM functions, LlamaIndex chat streaming app, Fetch.ai uAgents, Milvus Standalone, spaCy for NER, and more. The repository aims to provide practical examples and guides for developers interested in AI-related projects and tools.
LLM-for-Healthcare
The repository 'LLM-for-Healthcare' provides a comprehensive survey of large language models (LLMs) for healthcare, covering data, technology, applications, and accountability and ethics. It includes information on various LLM models, training data, evaluation methods, and computation costs. The repository also discusses tasks such as NER, text classification, question answering, dialogue systems, and generation of medical reports from images in the healthcare domain.
TigerBot
TigerBot is a cutting-edge foundation for your very own LLM, providing a world-class large model for innovative Chinese-style contributions. It offers various upgrades and features, such as search mode enhancements, support for large context lengths, and the ability to play text-based games. TigerBot is suitable for prompt-based game engine development, interactive game design, and real-time feedback for playable games.
shared_colab_notebooks
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.
LLMLanding
LLMLanding is a repository focused on practical implementation of large models, covering topics from theory to practice. It provides a structured learning path for training large models, including specific tasks like training 1B-scale models, exploring SFT, and working on specialized tasks such as code generation, NLP tasks, and domain-specific fine-tuning. The repository emphasizes a dual learning approach: quickly applying existing tools for immediate output benefits and delving into foundational concepts for long-term understanding. It offers detailed resources and pathways for in-depth learning based on individual preferences and goals, combining theory with practical application to avoid overwhelm and ensure sustained learning progress.
effective_llm_alignment
This is a super customizable, concise, user-friendly, and efficient toolkit for training and aligning LLMs. It provides support for various methods such as SFT, Distillation, DPO, ORPO, CPO, SimPO, SMPO, Non-pair Reward Modeling, Special prompts basket format, Rejection Sampling, Scoring using RM, Effective FAISS Map-Reduce Deduplication, LLM scoring using RM, NER, CLIP, Classification, and STS. The toolkit offers key libraries like PyTorch, Transformers, TRL, Accelerate, FSDP, DeepSpeed, and tools for result logging with wandb or clearml. It allows mixing datasets, generation and logging in wandb/clearml, vLLM batched generation, and aligns models using the SMPO method.
cogai
The W3C Cognitive AI Community Group focuses on advancing Cognitive AI through collaboration on defining use cases, open source implementations, and application areas. The group aims to demonstrate the potential of Cognitive AI in various domains such as customer services, healthcare, cybersecurity, online learning, autonomous vehicles, manufacturing, and web search. They work on formal specifications for chunk data and rules, plausible knowledge notation, and neural networks for human-like AI. The group positions Cognitive AI as a combination of symbolic and statistical approaches inspired by human thought processes. They address research challenges including mimicry, emotional intelligence, natural language processing, and common sense reasoning. The long-term goal is to develop cognitive agents that are knowledgeable, creative, collaborative, empathic, and multilingual, capable of continual learning and self-awareness.
Awesome-Robotics-3D
Awesome-Robotics-3D is a curated list of 3D Vision papers related to Robotics domain, focusing on large models like LLMs/VLMs. It includes papers on Policy Learning, Pretraining, VLM and LLM, Representations, and Simulations, Datasets, and Benchmarks. The repository is maintained by Zubair Irshad and welcomes contributions and suggestions for adding papers. It serves as a valuable resource for researchers and practitioners in the field of Robotics and Computer Vision.