AI-research-tools, SehatChain, an AI and Blockchain powered tool for researchers and healthcare professionals to buy models of healthcare data.
From user abdullahqaisar
Home Page: https://sehatchain-ai.vercel.app/sehatchain
AI-research-tools, AI tool to help inexperienced researchers to write more "SOTA" expression in academic papers, with a simple plugin to use it easily in overleaf.
From user albertshenc
AI-research-tools, AI-assisted emotion analysis allows computers to read non-verbal signs like body language and facial emotions. Facial expressions provide information about a person's emotional state and aid the regulation of discussions with that individual. Furthermore, these expressions enable a better knowledge of the person's overall mood. Social interactions and non-verbal communication rely heavily on facial expressions. Facial expression classification could be a useful tool in behavioural research and medical rehabilitation. Emotion Analysis entails visually identifying and analysing several facial key points in order to determine the underlying emotion.
From user anishasindhwani
AI-research-tools, Skin cancer is the most prevalent type of cancer. Melanoma, specifically, is responsible for 75% of skin cancer deaths, despite being the least common skin cancer. The American Cancer Society estimates over 100,000 new melanoma cases will be diagnosed in 2020. It's also expected that almost 7,000 people will die from the disease. As with other cancers, early and accurate detection—potentially aided by data science—can make treatment more effective. Currently, dermatologists evaluate every one of a patient's moles to identify outlier lesions or “ugly ducklings” that are most likely to be melanoma. Existing AI approaches have not adequately considered this clinical frame of reference. Dermatologists could enhance their diagnostic accuracy if detection algorithms take into account “contextual” images within the same patient to determine which images represent a melanoma. If successful, classifiers would be more accurate and could better support dermatological clinic work. As the leading healthcare organization for informatics in medical imaging, the Society for Imaging Informatics in Medicine (SIIM)'s mission is to advance medical imaging informatics through education, research, and innovation in a multi-disciplinary community. SIIM is joined by the International Skin Imaging Collaboration (ISIC), an international effort to improve melanoma diagnosis. The ISIC Archive contains the largest publicly available collection of quality-controlled dermoscopic images of skin lesions. In this competition, you’ll identify melanoma in images of skin lesions. In particular, you’ll use images within the same patient and determine which are likely to represent a melanoma. Using patient-level contextual information may help the development of image analysis tools, which could better support clinical dermatologists. Melanoma is a deadly disease, but if caught early, most melanomas can be cured with minor surgery. Image analysis tools that automate the diagnosis of melanoma will improve dermatologists' diagnostic accuracy. Better detection of melanoma has the opportunity to positively impact millions of people.
From user astreak
AI-research-tools, "EdgeGPT-ToolBox" is an open-source Python tool with 40 tools for text processing, file management, online research, image creation and more. It utilizes textdavinci003, GPT3.5, GPT-4 BingChat AI.
From user blackdicky
AI-research-tools, Open Source implementation of an online analyst tool to research companies with competence in the area of Artificial Intelligence. Currently contains 11,469 public AI stocks, AI-ETF's and PE/VC backed AI companies with a focus on analytics of the core strength around AI technology. The system retrieves and collates data from multiple online sources and provides a comprehensive overview about the skills, expertise, finantial health, fitness and other parameters. Features include a compilation of all public listed companies which are specialised in or create real product value with Artificial Intelligence, a comprehensive compilation of private companies in the area of Artificial Intelligence and an overview of available Exchange Traded Funds (ETFs) with an investment focus in Artificial Intelligence companies. Funding rounds from major Venture Capital and Private Equity funds are matched with private companies in the database.
From user daniel009988
AI-research-tools, Paperwise is a systematic and streamlined research workflow for managing AI papers that revolves around three core tools: Zotero, ResearchRabbit, and Obsidian.
From user davzoku
Home Page: http://walterteng.com/paperwise
AI-research-tools, SYN is a creative research project that explores synesthesia as an AI data set. We interviewed synaesthetes, created an image pool, and trained an AI text-to-image model. They use AI as a tool of the imagination and practice prompt poetry. The model is trained on various shapes and settings and can be prompted with different captions.
From user debbiedabsn
AI-research-tools, This repository is a tool that enables a variety of tasks for a particular image. I will make AI's eyes, and this research will be the first step. Even if everyone says my research is low quality, I will walk my path and grow.
From user deepsky1215
AI-research-tools, Share all the AI tools for research
From user goldboy225
AI-research-tools, A curated list of the best tools and websites for Artificial Intelligence (AI) and Machine Learning (ML) enthusiasts, researchers, and practitioners. Whether you're a beginner or an experienced professional, this collection offers a comprehensive set of resources to enhance your AI and ML projects.
From user iosdevakash
AI-research-tools, Explore the CT-xCOV project's official repository, housing the meticulously crafted dataset, classification/segmentation code, and XAI tools. Pioneering trust in AI healthcare, it empowers research and fosters understanding of data and methodologies.
From user ismailelbouknify
AI-research-tools, Introduction Metaverse is the next evolution of digital technologies. It includes 3D virtualization and will transform digital technologies in the next 5-10 years. Elements of a Metaverse are considered very important related to industry 4.0. Metaverse will have numerous technologies comprising the below: Digital currency Online shopping Workplace automation Social media Digital Humans Natural Language Processing Infrastructure Device independence In this article, we would understand what Metaverse is and what are its different elements? Description Metaverse is a combined virtual space. It is made by the convergence of virtually improved physical and digital reality. We can also say that it is device-free and is not owned by a single seller. Metaverse is known as an independent virtual economy. It is allowed by digital currencies and non-fungible tokens (NFTs). It characterizes a combinatorial innovation because it needs many technologies and trends to function. The following are contributing tech capabilities: Augmented reality (AR) Flexible work styles Head-mounted displays (HMDs) An AR cloud The Internet of Things (IoT) 5G Artificial intelligence (AI) Spatial technologies For better understanding, the concepts of a Metaverse, consider it as the next version of the Internet. That begins as separate bulletin boards and independent online destinations. In the long run, these destinations developed sites on a virtual shared space same as how a Metaverse would develop. Importance of the Metaverse There is a lot of exhilaration around Metaverse. Greatly of it driven by technology companies tactically claiming to be Metaverse companies. Similarly, Metaverse creates to improve or augment the digital and physical realities of people. Furthermore, deeds that now happen in siloed locations will finally occur in a single Metaverse, for example: Buying clothes and fittings for online avatars Business digital land and building virtual homes Take part in a virtual social experience Supermarkets run in virtual malls through immersive commerce With virtual classrooms to practice immersive learning Purchasing digital art, breakables, and assets (NFTs) Networking with digital humans for onboarding business connections It is likely that a Metaverse will make available determined, decentralized, joint, and interoperable opportunities. It will create the business models, which will allow organizations to extend digital business. Elements of a Metaverse Gartner is a technology research and consulting company. It described the elements of a Metaverse in the below diagram. Elements of a Metaverse Applications Virtual reality The social network company Facebook launched a social VR world named Facebook Horizon in 2019. Facebook chairman Mark Zuckerberg confirmed in 2021, a company pledged to develop a metaverse. Several VR technologies promoted by Meta Platforms remain to be developed. Microsoft developed the VR Company AltspaceVR in 2017. Microsoft has since applied metaverse features for example virtual avatars and meetings thought in virtual reality into Microsoft Teams. Future implementations for metaverse technology comprise refining work output, shared learning environments, e-commerce, real estate, and fashion. Video games Many works of metaverse technologies have by now been developed inside modern internet-enabled video games. The Second Life is combined several features of social media into a determined three-dimensional world with the user signified as an avatar. Social functions are repeatedly an integral story in many hugely multiplayer online games. Social-based gameplay of Minecraft characterizes an innovative analog of a metaverse. Hardware Technology Entrance points for metaverse comprise general-purpose computers and smartphones. Also, included augmented reality (AR), mixed reality, virtual reality (VR), and virtual world technologies. Need on VR technology has limited metaverse growth and wide-scale acceptance. Limits of moveable hardware and the requirement to balance cost and design have produced a deficiency of high-quality graphics and mobility. Lightweight wireless headsets have fought to attain the retina display pixel density required for visual immersion. Present hardware development is dedicated to choking limitations of VR headsets, sensors, and growing immersion with haptic technology. Software Technology There has been nothing for wide-scale acceptance of a uniform technical requirement for metaverse applications. Current applications depend chiefly on proprietary technology. Interoperability is the main anxiety in metaverse development. There have been a number of virtual environment standardization projects. Metaverse is known as a three-dimensional Internet that is occupied with live people. The technology company NVIDIA declared in 2021 they will accept USD for their metaverse development tools. The OpenXR is an open standard for entree into virtual and augmented reality plans and involvements. It has been accepted by Microsoft for HoloLens 2, Meta Platforms for the Oculus Quest, and Valve for SteamVR. For more details visit: https://www.technologiesinindustry4.com
From user mansoor1565
AI-research-tools, Introduction Metaverse is the next evolution of digital technologies. It includes 3D virtualization and will transform digital technologies in the next 5-10 years. Elements of a Metaverse are considered very important related to industry 4.0. Metaverse will have numerous technologies comprising the below: Digital currency Online shopping Workplace automation Social media Digital Humans Natural Language Processing Infrastructure Device independence In this article, we would understand what Metaverse is and what are its different elements? Description Metaverse is a combined virtual space. It is made by the convergence of virtually improved physical and digital reality. We can also say that it is device-free and is not owned by a single seller. Metaverse is known as an independent virtual economy. It is allowed by digital currencies and non-fungible tokens (NFTs). It characterizes a combinatorial innovation because it needs many technologies and trends to function. The following are contributing tech capabilities: Augmented reality (AR) Flexible work styles Head-mounted displays (HMDs) An AR cloud The Internet of Things (IoT) 5G Artificial intelligence (AI) Spatial technologies For better understanding, the concepts of a Metaverse, consider it as the next version of the Internet. That begins as separate bulletin boards and independent online destinations. In the long run, these destinations developed sites on a virtual shared space same as how a Metaverse would develop. Importance of the Metaverse There is a lot of exhilaration around Metaverse. Greatly of it driven by technology companies tactically claiming to be Metaverse companies. Similarly, Metaverse creates to improve or augment the digital and physical realities of people. Furthermore, deeds that now happen in siloed locations will finally occur in a single Metaverse, for example: Buying clothes and fittings for online avatars Business digital land and building virtual homes Take part in a virtual social experience Supermarkets run in virtual malls through immersive commerce With virtual classrooms to practice immersive learning Purchasing digital art, breakables, and assets (NFTs) Networking with digital humans for onboarding business connections It is likely that a Metaverse will make available determined, decentralized, joint, and interoperable opportunities. It will create the business models, which will allow organizations to extend digital business. Elements of a Metaverse Gartner is a technology research and consulting company. It described the elements of a Metaverse in the below diagram. Elements of a Metaverse Applications Virtual reality The social network company Facebook launched a social VR world named Facebook Horizon in 2019. Facebook chairman Mark Zuckerberg confirmed in 2021, a company pledged to develop a metaverse. Several VR technologies promoted by Meta Platforms remain to be developed. Microsoft developed the VR Company AltspaceVR in 2017. Microsoft has since applied metaverse features for example virtual avatars and meetings thought in virtual reality into Microsoft Teams. Future implementations for metaverse technology comprise refining work output, shared learning environments, e-commerce, real estate, and fashion. Video games Many works of metaverse technologies have by now been developed inside modern internet-enabled video games. The Second Life is combined several features of social media into a determined three-dimensional world with the user signified as an avatar. Social functions are repeatedly an integral story in many hugely multiplayer online games. Social-based gameplay of Minecraft characterizes an innovative analog of a metaverse. Hardware Technology Entrance points for metaverse comprise general-purpose computers and smartphones. Also, included augmented reality (AR), mixed reality, virtual reality (VR), and virtual world technologies. Need on VR technology has limited metaverse growth and wide-scale acceptance. Limits of moveable hardware and the requirement to balance cost and design have produced a deficiency of high-quality graphics and mobility. Lightweight wireless headsets have fought to attain the retina display pixel density required for visual immersion. Present hardware development is dedicated to choking limitations of VR headsets, sensors, and growing immersion with haptic technology. Software Technology There has been nothing for wide-scale acceptance of a uniform technical requirement for metaverse applications. Current applications depend chiefly on proprietary technology. Interoperability is the main anxiety in metaverse development. There have been a number of virtual environment standardization projects. Metaverse is known as a three-dimensional Internet that is occupied with live people. The technology company NVIDIA declared in 2021 they will accept USD for their metaverse development tools. The OpenXR is an open standard for entree into virtual and augmented reality plans and involvements. It has been accepted by Microsoft for HoloLens 2, Meta Platforms for the Oculus Quest, and Valve for SteamVR.
From user mansoor1565
AI-research-tools, an AI agent with additional tools and a specific model to fulfill its role as an AI research assistant.
From user mebi-ali
AI-research-tools, Explore AI Tech Hub, a curated collection of open-source code and resources focused on AI innovations like deep fakes, AI art, and face swapping. A go-to library for developers, researchers, and AI enthusiasts seeking cutting-edge tools and insights.
From user nadavis56
AI-research-tools, a tour of the tools and workflows popular with AI researchers
From user nick-torenvliet
AI-research-tools, FeatEngX is an automated Feature Engineering Tool used by Data Engineers & AI Researchers for making feature selection process, data preprocessing, and engineering accurate.
From organization oyanalytica
AI-research-tools, An AI-powered tool designed to extract data from Perovskite research papers and populate the Perovskite Database. To accelerate scientific advancements in Perovskite solar cell research
From user raz-zeevy
AI-research-tools, Arxiv-digest is an automated tool tailored for AI enthusiasts and researchers. It utilizes Google's Genimi Pro language model to curate and succinctly summarize relevant AI research papers from arXiv, aligning with your specific interests.
From user ronpay
AI-research-tools, APIs are exposed to the public or internal network interfaces, thus they are vulnerable to various security threats. Hackers can attack such APIs to steal sensitive data or to disrupt the services provided by APIs to the intended users. Therefore, API-based attack detection is important to identify and prevent fraudulent access to APIs. Since Machine learning (ML) and Artificial Intelligence (AI) have shown great potential in detecting abnormal patterns, AI is a useful tool in detecting attacks to the APIs. However, using AI/ML requires accurate data to learn the fraudulence patterns and to validate the developed solutions, which is a major challenge faced by data scientists and researchers. To address this challenge, we proposed an approach that learns to detect attacks using the generated data by attacking the APIs. Therefore, the solution will consist of two models for 1) attack detection, 2) attack generation. Assume if we want to detect DDOS attacks, the attack simulation model will try to simulate the DDOS attack without being detected by the attack detection model. If the attack is undetected and leads to the unavailability of the API, we can assign a penalty to attack detection model, and reward to the attacking model. We can allow both models to compete with each other similar to adversarial learning to achieve highly accurate attack detection models. This blogs [1] explains how adversarial learning is used to prevent attacks to the image recognition models. The goal of this project is to deliver an attack simulation and detection tool by improving adversarial learning approaches to simulate and detect API-based attacks.
From user sajeevan16
AI-research-tools, Discover Azure AI—a portfolio of AI services designed for developers and data scientists. Take advantage of the decades of breakthrough research, responsible AI practices, and flexibility that Azure AI offers to build and deploy your own AI solutions. Access high-quality vision, speech, language, and decision-making AI models through simple API calls, and create your own machine learning models with tools like Jupyter Notebooks, Visual Studio Code, and open-source frameworks like TensorFlow and PyTorch.Only Azure empowers you with the most advanced machine learning capabilities. Quickly and easily build, train, and deploy your machine learning models using Azure Machine Learning and Azure Databricks. Use the latest tools like Jupyter and Visual Studio Code, alongside frameworks like PyTorch Enterprise, TensorFlow, and Scikit-Learn. Expand your data science teams and create models faster with low-code and no-code tools like automated machine learning and a drag-and-drop interface.
From user santhoshstark06
AI-research-tools, An AI powered academic literature tool as a Jupyter Lab Extension for researchers
From user schnell18
AI-research-tools, The AI Date Planner project originated as an experimental AI-based tool for the AI Edge Cases research-creation project under Technoculture, Art, and Games (TAG) institute at Concordia University.
From user shaynelarocque
Home Page: https://tag.hexagram.ca/
AI-research-tools, Labellerr is a One Stop Automated AI training and Data Annotation SAAS platform for Computer Vision, Voice and NLP solutions. Our goal is to provide organizations a tool so that they can focus more on building AI models quickly rather than waiting on any third party services. Specially designed for machine learning researchers, AI software developers, big data engineers & data scientists whose need is to label millions & billions of datasets in a shorter duration with minimal effort. With Labellerr you can annotate data in any form such as image, text, audio files, video, documents, geospatial, MRI etc by first converting it from unstructured or semi-structured to structured format. This repository is a part of our community initiative wherein we bring the implementations of the latest advancements in the field of Deep Learning.
From organization tensormatics
Home Page: https://www.labellerr.com/
AI-research-tools, An AI-powerd tool that automaticly classifies Deep Learning research papers into 5 classes and organizes them into folders
From user thesun00000
AI-research-tools, This application is a fun project inspired by the famous YouTuber Mr. Beast and AI researcher Lex Fridman. This application selects a random user who liked a particular tweet, making it a perfect tool for online Twitter challenges or giveaways.
From user tonykipkemboi
AI-research-tools, Introduction to the My Personal Therapeutics month long Creative Coding Research Cooperative @NYU ITP where MPT is submitting to operate a multi partner coop hackathon, training session open source workshop series and interdisciplinary research cohort to develop multi platform genomic dApps, templates, plugins and other middleware products designed to activate the integration of MPT and Sense Collective blockchain and AI tools with a focus on making blockchain layers invisible while simultaneously strengthening the interoperability tooling and traditional web developer products more user friendly with a focus on creative coding frameworks such as P5js, Processing Arduino D3, Ember, Max MsP, Unity, etc.
From organization yumatchlab
AI-research-tools, ResearchGram is a AI based tool that leverages Machine Learning, NLP and cloud computing to generate research paper recommendations from over 500,000+ research papers in our dataset (subset from the Arxiv dataset) based on the input provided by the user (input can be provided in various image,video,audio and document formats).
From user zeeshansalim1234
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
Django
The Web framework for perfectionists with deadlines.
Laravel
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
Microsoft
Open source projects and samples from Microsoft.
Google
Google ❤️ Open Source for everyone.
Alibaba
Alibaba Open Source for everyone
D3
Data-Driven Documents codes.
Tencent
China tencent open source team.
