Best AI tools for< Research Ens History >

AI Genealogy Insights is a website dedicated to exploring the advantages and limitations of Artificial Intelligence-assisted genealogy. The site provides valuable insights on how artificial intelligence can assist genealogists and family history researchers by leveraging AI technology in genealogical research and discovery. It covers topics such as the current state of AI-assisted genealogy, applications of AI in genealogy, productivity enhancement using AI, upcoming AI genealogy developments, and useful AI tools and services for genealogists.

Jotlify is an AI-powered platform that simplifies complex research papers, making them accessible and easy to understand for students, researchers, professionals, and curious minds. It transforms dense academic content into engaging stories and insights, bridging the gap between complex research and easy understanding. With Jotlify, users can uncover stories and insights that can transform their understanding and impact various aspects of their lives.

Wolfram|Alpha is a computational knowledge engine that answers questions using data, algorithms, and artificial intelligence. It can perform calculations, generate graphs, and provide information on a wide range of topics, including mathematics, science, history, and culture. Wolfram|Alpha is used by students, researchers, and professionals around the world to solve problems, learn new things, and make informed decisions.

ChatPlayground AI is a versatile platform that allows users to compare multiple AI chatbots to obtain the best responses. With 14+ AI apps and features available, users can achieve better AI answers 73% of the time. The platform offers a comprehensive prompt library, real-time web search capabilities, image generation, history recall, document upload and analysis, and multilingual support. It caters to developers, data scientists, students, researchers, content creators, writers, and AI enthusiasts. Testimonials from users highlight the efficiency and creativity-enhancing benefits of using ChatPlayground AI.

Dr. Amit Ray is famous for his teachings on peace, compassion, meditation, non- violence, 114 chakras, compassionate AI, mindfulness, leadership and creativity. He is also famous for his contribution in the field of quantum computing and artificial intelligence. He has spent several years in high Himalaya in deep silent meditation. He is one of the rare meditation master, who has fully experienced the higher consciousness and fully conversant with the ancient meditation literature as well as modern high end researches. He often remains engrossed in deep meditation in the dense forests, caves, and snow-covered peaks of the Himalayas. At the same time he always keeps a watchful compassionate gaze for the well-being of the humanity. His compassion and meditation teachings transcends the limitations of worldly distinctions such as religion, country, culture, caste, class, color, history, and geography.

GenAI Summit San Francisco 2024 is an innovative AI tool designed to bring together industry leaders, researchers, and enthusiasts to explore the latest trends and advancements in artificial intelligence. The platform offers a virtual space for networking, knowledge sharing, and collaboration, enabling participants to gain insights into cutting-edge AI technologies and applications. With interactive sessions, keynote speeches, and panel discussions, GenAI Summit fosters a vibrant community of AI professionals and facilitates meaningful connections in the field.

Scite is an award-winning platform for discovering and evaluating scientific articles via Smart Citations. Smart Citations allow users to see how a publication has been cited by providing the context of the citation and a classification describing whether it provides supporting or contrasting evidence for the cited claim.

SciSummary is an AI tool designed to summarize scientific articles and research papers quickly and efficiently. It utilizes advanced AI technology, specifically GPT-3.5 and GPT-4 models, to provide accurate and concise summaries for busy scientists, students, and enthusiasts. The platform allows users to submit documents via email, upload articles to the dashboard, or attach PDFs for summarization. With features like unlimited summaries, figure and table analysis, and chat messages, SciSummary is a valuable resource for researchers looking to stay updated with the latest trends in research.

PaperClip is an AI tool designed to help users keep track of their daily AI papers review. It allows users to memorize details from papers in machine learning, computer vision, and natural language processing. The tool provides an extension that enables users to find back important findings from AI research papers, ML blog posts, and news. PaperClip's AI runs locally, ensuring data privacy by not sending any information to external servers. With features like offline support, data cleaning, and easy reset options, PaperClip offers a convenient solution for organizing and accessing research findings.

TractoAI is an advanced AI platform that offers deep learning solutions for various industries. It provides Batch Inference with no rate limits, DeepSeek offline inference, and helps in training open source AI models. TractoAI simplifies training infrastructure setup, accelerates workflows with GPUs, and automates deployment and scaling for tasks like ML training and big data processing. The platform supports fine-tuning models, sandboxed code execution, and building custom AI models with distributed training launcher. It is developer-friendly, scalable, and efficient, offering a solution library and expert guidance for AI projects.

Postwhale is an AI-driven SEO automation tool designed for Webflow users. It leverages AI technology to research, write, and post engaging SEO content based on the user's business data, industry trends, and common sense. Postwhale aims to cut costs, increase conversion rates, and drive traffic to websites by providing data-driven insights and personalized content plans. The tool is user-friendly, cost-effective, and results-driven, making it a valuable asset for businesses of all sizes and industries.

ResearchRabbit is a research tool that helps researchers discover and organize academic papers. It uses artificial intelligence to recommend papers that are relevant to a researcher's interests and to visualize networks of papers and co-authorships. ResearchRabbit also allows researchers to collaborate on collections of papers and to share their findings with others.

Elicit is an AI research assistant that helps researchers analyze research papers at superhuman speed. It automates time-consuming research tasks such as summarizing papers, extracting data, and synthesizing findings. Trusted by researchers, Elicit offers a plethora of features to speed up the research process and is particularly beneficial for empirical domains like biomedicine and machine learning.

Connected Papers is a search engine for academic papers that uses artificial intelligence to help users find and explore relevant research. It allows users to search for papers by keyword, author, or title, and then explore the connections between them. Connected Papers also provides a variety of tools to help users organize and manage their research, including the ability to create custom collections of papers, add notes and annotations, and share their research with others.

Untools is an AI-powered personal management toolset designed to help users make better, faster, and more confident decisions. It offers a unique blend of features that prioritize urgency and importance, such as the Eisenhower Matrix and AI Assistant for data-backed decision-making. Users can track past decisions, gain insights, and improve their decision-making process. Untools caters to professionals like entrepreneurs, researchers, and neurodivergent individuals, helping them reduce impulsive choices, prevent distractions, and improve focus. The app provides affordable pricing options and is supported by a team of experienced professionals in product design and software engineering.

Parroview is a revolutionary AI-powered user research platform that automates the process of conducting user interviews. It uses natural language processing (NLP) to engage with users in real-time conversations, asking follow-up questions and uncovering insights that would be difficult to obtain through traditional methods. Parroview is designed to be fully autonomous, allowing researchers to set up interviews and gather insights without the need for manual intervention. It supports multiple languages, making it accessible to a global audience. Parroview offers a range of features, including the ability to conduct interviews via text or voice, analyze insights in real-time, and generate detailed transcripts. It is suitable for a wide range of research needs, including product validation, consumer behavior analysis, post-purchase evaluations, brand perception studies, and customer persona development.

AI at Wharton is a dedicated AI research center at the Wharton School, University of Pennsylvania. It fosters, coordinates, and promotes AI activities, focusing on designing algorithms to improve business processes and human behavior. The center collaborates with industry leaders and Chief Data Officers to develop frameworks for responsible AI adoption, aiming to maximize AI value for businesses. Through research, events, and publications, AI at Wharton explores the transformative potential of AI in various fields and industries.

Notably is a research synthesis platform that uses AI to help researchers analyze and interpret data faster. It offers a variety of features, including a research repository, AI research, digital sticky notes, video transcription, and cluster analysis. Notably is used by companies and organizations of all sizes to conduct product research, market research, academic research, and more.

The Munich Center for Machine Learning (MCML) is a top spot for AI and ML research in Europe. It is one of six national AI Competence Centers funded by the German and Bavarian government's AI strategy. MCML brings together leading ML researchers from LMU, TUM, and associated institutions to transfer innovations and AI potential to industry and society. The center's vision is to unite leading researchers in Germany to strengthen competence in ML and AI at international, national, and regional levels, fostering talent and making potential accessible to users from various sectors.

The International Journal for Educational Integrity is an AI tool that focuses on publishing articles related to academic integrity, ethics, and plagiarism. It features original research articles, reviews, and thematic collections on topics such as machine-based plagiarism, contract cheating, and the impact of emergencies on educational integrity. The journal aims to address emerging threats to academic integrity and promote ethical practices in education.

Awesome Large Weather Models (LWMs) is a curated collection of articles and resources related to large weather models used in AI for Earth and AI for Science. It includes information on various cutting-edge weather forecasting models, benchmark datasets, and research papers. The repository serves as a hub for researchers and enthusiasts to explore the latest advancements in weather modeling and forecasting.

Awesome-LLMs-for-Video-Understanding is a repository dedicated to exploring Video Understanding with Large Language Models. It provides a comprehensive survey of the field, covering models, pretraining, instruction tuning, and hybrid methods. The repository also includes information on tasks, datasets, and benchmarks related to video understanding. Contributors are encouraged to add new papers, projects, and materials to enhance the repository.

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.

Awesome MCP Servers is a curated list of Model Context Protocol (MCP) servers that enable AI models to securely interact with local and remote resources through standardized server implementations. The list includes production-ready and experimental servers that extend AI capabilities through file access, database connections, API integrations, and other contextual services.

Pearl is a production-ready Reinforcement Learning AI agent library open-sourced by the Applied Reinforcement Learning team at Meta. It enables researchers and practitioners to develop Reinforcement Learning AI agents that prioritize cumulative long-term feedback over immediate feedback and can adapt to environments with limited observability, sparse feedback, and high stochasticity. Pearl offers a diverse set of unique features for production environments, including dynamic action spaces, offline learning, intelligent neural exploration, safe decision making, history summarization, and data augmentation.

Open Life Science AI: Medical Reasoning Tasks is a collaborative hub for developing cutting-edge reasoning tasks for Large Language Models (LLMs) in the medical, healthcare, and clinical domains. The repository aims to advance AI capabilities in healthcare by fostering accurate diagnoses, personalized treatments, and improved patient outcomes. It offers a diverse range of medical reasoning challenges such as Diagnostic Reasoning, Treatment Planning, Medical Image Analysis, Clinical Data Interpretation, Patient History Analysis, Ethical Decision Making, Medical Literature Comprehension, and Drug Interaction Assessment. Contributors can join the community of healthcare professionals, AI researchers, and enthusiasts to contribute to the repository by creating new tasks or improvements following the provided guidelines. The repository also provides resources including a task list, evaluation metrics, medical AI papers, and healthcare datasets for training and evaluation.

OpenAGI is an AI agent creation package designed for researchers and developers to create intelligent agents using advanced machine learning techniques. The package provides tools and resources for building and training AI models, enabling users to develop sophisticated AI applications. With a focus on collaboration and community engagement, OpenAGI aims to facilitate the integration of AI technologies into various domains, fostering innovation and knowledge sharing among experts and enthusiasts.

MLE-Agent is an intelligent companion designed for machine learning engineers and researchers. It features autonomous baseline creation, integration with Arxiv and Papers with Code, smart debugging, file system organization, comprehensive tools integration, and an interactive CLI chat interface for seamless AI engineering and research workflows.

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.

Qlib is an open-source, AI-oriented quantitative investment platform that supports diverse machine learning modeling paradigms, including supervised learning, market dynamics modeling, and reinforcement learning. It covers the entire chain of quantitative investment, from alpha seeking to order execution. The platform empowers researchers to explore ideas and implement productions using AI technologies in quantitative investment. Qlib collaboratively solves key challenges in quantitative investment by releasing state-of-the-art research works in various paradigms. It provides a full ML pipeline for data processing, model training, and back-testing, enabling users to perform tasks such as forecasting market patterns, adapting to market dynamics, and modeling continuous investment decisions.

Awesome-Papers-Autonomous-Agent is a curated collection of recent papers focusing on autonomous agents, specifically interested in RL-based agents and LLM-based agents. The repository aims to provide a comprehensive resource for researchers and practitioners interested in intelligent agents that can achieve goals, acquire knowledge, and continually improve. The collection includes papers on various topics such as instruction following, building agents based on world models, using language as knowledge, leveraging LLMs as a tool, generalization across tasks, continual learning, combining RL and LLM, transformer-based policies, trajectory to language, trajectory prediction, multimodal agents, training LLMs for generalization and adaptation, task-specific designing, multi-agent systems, experimental analysis, benchmarking, applications, algorithm design, and combining with RL.

SwiftSage is a tool designed for conducting experiments in the field of machine learning and artificial intelligence. It provides a platform for researchers and developers to implement and test various algorithms and models. The tool is particularly useful for exploring new ideas and conducting experiments in a controlled environment. SwiftSage aims to streamline the process of developing and testing machine learning models, making it easier for users to iterate on their ideas and achieve better results. With its user-friendly interface and powerful features, SwiftSage is a valuable tool for anyone working in the field of AI and ML.

Awesome-Graph-LLM is a curated collection of research papers exploring the intersection of graph-based techniques with Large Language Models (LLMs). The repository aims to bridge the gap between LLMs and graph structures prevalent in real-world applications by providing a comprehensive list of papers covering various aspects of graph reasoning, node classification, graph classification/regression, knowledge graphs, multimodal models, applications, and tools. It serves as a valuable resource for researchers and practitioners interested in leveraging LLMs for graph-related tasks.

ai-collective-tools is an open-source community dedicated to creating a comprehensive collection of AI tools for developers, researchers, and enthusiasts. The repository provides a curated selection of AI tools and resources across various categories such as 3D, Agriculture, Art, Audio Editing, Avatars, Chatbots, Code Assistant, Cooking, Copywriting, Crypto, Customer Support, Dating, Design Assistant, Design Generator, Developer, E-Commerce, Education, Email Assistant, Experiments, Fashion, Finance, Fitness, Fun Tools, Gaming, General Writing, Gift Ideas, HealthCare, Human Resources, Image Classification, Image Editing, Image Generator, Interior Designing, Legal Assistant, Logo Generator, Low Code, Models, Music, Paraphraser, Personal Assistant, Presentations, Productivity, Prompt Generator, Psychology, Real Estate, Religion, Research, Resume, Sales, Search Engine, SEO, Shopping, Social Media, Spreadsheets, SQL, Startup Tools, Story Teller, Summarizer, Testing, Text to Speech, Text to Image, Transcriber, Travel, Video Editing, Video Generator, Weather, Writing Generator, and Other Resources.

Nmed2024 is a GitHub repository that contains code for a neural network model designed for medical image analysis. The repository includes scripts for training the model, as well as pre-trained weights for quick deployment. The model is specifically tailored for detecting abnormalities in medical images, such as tumors or fractures. It utilizes deep learning techniques to achieve high accuracy and can be easily integrated into existing medical imaging systems. Researchers and developers in the healthcare industry can leverage this tool to enhance the efficiency and accuracy of medical image analysis tasks.

This repository, Awesome-LLM-Survey, serves as a comprehensive collection of surveys related to Large Language Models (LLM). It covers various aspects of LLM, including instruction tuning, human alignment, LLM agents, hallucination, multi-modal capabilities, and more. Researchers are encouraged to contribute by updating information on their papers to benefit the LLM survey community.

LLM-baselines is a modular codebase to experiment with transformers, inspired from NanoGPT. It provides a quick and easy way to train and evaluate transformer models on a variety of datasets. The codebase is well-documented and easy to use, making it a great resource for researchers and practitioners alike.

Loki is an open-source tool designed to automate the process of verifying the factuality of information. It provides a comprehensive pipeline for dissecting long texts into individual claims, assessing their worthiness for verification, generating queries for evidence search, crawling for evidence, and ultimately verifying the claims. This tool is especially useful for journalists, researchers, and anyone interested in the factuality of information.

This project is a Chinese tutorial for domestic beginners based on the AutoDL platform, providing full-process guidance for various open-source large models, including environment configuration, local deployment, and efficient fine-tuning. It simplifies the deployment, use, and application process of open-source large models, enabling more ordinary students and researchers to better use open-source large models and helping open and free large models integrate into the lives of ordinary learners faster.

Dive into the roots of ENS with PrePunk Guru. Discover the tales and treasures of vintage ENS domains and learn what makes PrePunk names a unique piece of blockchain history.

Researches and Creates Architectural Decision Records

AlphaZero researches the latest news and delivers it in a rap.

Assistant to help researchers with thesis research and documentation process.

Brainstorms and researches mods for Bethesda games, and checks mod originality.

Assist marketers and researchers in understanding consumer behavior and decision-making processes

ML Engineer who codes & researches for you! created by Meysam

Balances out bias and researches live reports to give you a more balanced view (Paste in the text you want to check)

Designs courses, researches topics, and writes in JSON.

A dental care innovation assistant for professionals and researchers.

Join millions of students, researchers and professionals to instantly answer questions and understand research with Al

A bot that gives you marketing advices based on the latest market researches

Solves homework from photos, explains steps, and researches for accuracy.

AI assessment on the nature of the UFO/UAP phenomenon. Trained on a large list of quotes by noted researchers in the field.

Unlock the secrets of DNA with 🧬GenoCode Wizard🔬! Dive into genetic analysis, decode sequences, and explore bioinformatics with ease. Perfect for researchers and students!

Especialista em Geociências no Brasil, usando dados da CAPES.

Deep learning researcher explaining Google Gemini from PDFs.

英翻中，适合于科技类文章，保留原汁原味，信雅达

Advanced expert in fusion, superconductors, and materials with enhanced analytics and collaboration.