Best AI tools for< Collaborate With Researchers >

NotedSource is a global research and innovation platform that connects users to a network of research experts. The platform utilizes AI to scout, vet, and manage collaboration projects efficiently. Users can post requests to evaluate experts, startups, and technologies, streamline contract drafting, simplify payments, and access a single project management platform. NotedSource also offers learning and development solutions, executive education, and strategy and innovation services.

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.

RejuveAI is a decentralized token-based system that aims to democratize longevity globally. The Longevity App allows users to monitor essential health metrics, enhance lifespan, and earn RJV tokens. The application leverages revolutionary AI technology to analyze human body functions in-depth, providing insights for aging combat. RejuveAI collaborates with researchers, clinics, and data enthusiasts to ensure innovative outcomes are affordable and accessible. The platform also offers exclusive discounts on travel, supplements, medical tests, and longevity therapies.

Google Research is a team of scientists and engineers working on a wide range of topics in computer science, including artificial intelligence, machine learning, and quantum computing. Our mission is to advance the state of the art in these fields and to develop new technologies that can benefit society. We publish hundreds of research papers each year and collaborate with researchers from around the world. Our work has led to the development of many new products and services, including Google Search, Google Translate, and Google Maps.

Rayyan is an intelligent systematic review tool trusted by over 500,000 researchers worldwide. It helps users organize, manage, and accelerate collaborative systematic literature reviews. Rayyan empowers users to work remotely and collaborate with distributed research teams, offering membership packages with onboarding, training, and priority support. The tool is designed to understand language, learn from user decisions, and facilitate quick navigation through systematic reviews. Rayyan also provides solutions for organizations and businesses to streamline research processes and save valuable researcher time.

The website is a comprehensive directory of cutting-edge AI tools in 2024. It features a wide range of AI applications across various categories such as education, music, job search, productivity, and more. Users can explore and discover AI-powered tools for different tasks and industries, offering advanced features and functionalities to enhance efficiency and productivity.

Tube Memo is an AI-powered tool designed to facilitate effortless note-taking from YouTube videos. It allows users to capture transcripts, organize notes, and generate summaries from videos. The tool enhances productivity by providing features like timestamped transcripts, AI-powered summaries, content organizing, and the ability to easily share and download notes. Users can collaborate with team members, categorize and tag memos for efficient searching, and access their notes across various devices. Tube Memo aims to streamline the process of extracting key insights from video content, making it a valuable asset for students, professionals, content creators, and researchers.

The Drive AI is an AI-powered storage and collaboration platform designed for students, educators, researchers, and writers. It helps users organize class materials, ask questions for deeper insights, turn insights into writing, collaborate with friends, and access the latest AI models for faster writing. The platform offers features such as collaborative workspace, chat channels, auto-complete summarizer, and access to AI assistants for writing assistance. The Drive AI aims to enhance productivity and efficiency in academic and professional tasks through AI-powered solutions.

Focal is an AI-powered tool that helps users summarize and organize their research and reading materials. It offers features such as AI-generated summaries, document highlighting, and collaboration tools. Focal is designed for researchers, students, professionals, and anyone who needs to efficiently process large amounts of information.

HoloEye.AI is a transformative AI biological intelligence company that leverages cutting-edge artificial intelligence technology to revolutionize the field of biological research. The platform offers advanced AI solutions for analyzing complex biological data, enabling researchers to gain deeper insights and accelerate scientific discoveries.

Petal is a document analysis platform powered by generative AI technology. It allows users to chat with their documents, providing fully sourced and reliable answers by linking to their own knowledge bases. Users can train AI on their documents to support their work, ensuring centralized knowledge management and document synchronization. Petal offers features such as automatic metadata extraction, file deduplication, and collaboration tools to enhance productivity and streamline workflows for researchers, faculty, and industry experts.

EchoScribe is an AI-powered transcription and note-taking tool that helps you capture, organize, and share your ideas and conversations. With EchoScribe, you can easily record and transcribe audio and video, add notes and annotations, and collaborate with others in real-time. EchoScribe is perfect for students, journalists, researchers, and anyone who needs to capture and share information efficiently.

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.

Altera is an applied research company focused on building digital humans with fundamental human qualities. Led by Dr. Robert Yang, the team comprises computational neuroscientists, researchers, and engineers from prestigious institutions. Their mission is to create digital beings that can live, care, and grow alongside humans. The company's early research prototypes in games have paved the way for the development of digital humans that can interact with users in various ways.

Lumina is a research tool that uses artificial intelligence to help researchers find and analyze information more quickly and easily. It can be used to search for articles, books, and other resources, and it can also be used to analyze data and create visualizations. Lumina is designed to make research more efficient and productive.

AcademicID is an AI-powered platform that helps students and researchers discover and access academic resources. It provides a comprehensive database of academic papers, journals, and other resources, as well as tools to help users organize and manage their research. AcademicID also offers a variety of features to help users collaborate with others and share their research findings.

Moonvalley is a research company focused on developing cutting-edge generative media technologies. The team consists of top researchers, engineers, and artists with backgrounds in leading tech companies. Moonvalley specializes in advanced video and image machine learning models, aiming to shape the future of media creation.

Moonvalley is a research company focused on developing generative media using deep learning technology. The team consists of experienced researchers, engineers, and artists from renowned companies such as Deepmind, IBM, and Microsoft. Moonvalley aims to revolutionize the field of generative video production through cutting-edge AI techniques.

DVC Studio is a collaboration tool for machine learning teams. It provides seamless data and model management, experiment tracking, visualization, and automation. DVC Studio is built for ML researchers, practitioners, and managers. It enables model organization and discovery across all ML projects and manages model lifecycle with Git, unifying ML projects with the best DevOps practices. DVC Studio also provides ML experiment tracking, visualization, collaboration, and automation using Git. It applies software engineering and DevOps best-practices to automate ML bookkeeping and model training, enabling easy collaboration and faster iterations.

Looppanel is an AI-powered research assistant that revolutionizes the way research data is managed. It automatically records calls, transcribes them, and centralizes all research data in one place. Looppanel's highly accurate transcripts support multiple languages and accents, enabling users to focus on interviews while AI takes notes. The platform simplifies analysis, allows for time-stamped note-taking, and facilitates collaboration among team members. Looppanel ensures data security and compliance with high standards, making it a valuable tool for researchers and professionals.

SwanLab is an open-source, lightweight AI experiment tracking tool that provides a platform for tracking, comparing, and collaborating on experiments, aiming to accelerate the research and development efficiency of AI teams by 100 times. It offers a friendly API and a beautiful interface, combining hyperparameter tracking, metric recording, online collaboration, experiment link sharing, real-time message notifications, and more. With SwanLab, researchers can document their training experiences, seamlessly communicate and collaborate with collaborators, and machine learning engineers can develop models for production faster.

OpenDevin is a platform for autonomous software engineers powered by AI and LLMs. It allows human developers to collaborate with agents to write code, fix bugs, and ship features. The tool operates in a secured docker sandbox and provides access to different LLM providers for advanced configuration options. Users can contribute to the project through code contributions, research and evaluation of LLMs in software engineering, and providing feedback and testing. OpenDevin is community-driven and welcomes contributions from developers, researchers, and enthusiasts looking to advance software engineering with AI.

MindNLP is an open-source NLP library based on MindSpore. It provides a platform for solving natural language processing tasks, containing many common approaches in NLP. It can help researchers and developers to construct and train models more conveniently and rapidly. Key features of MindNLP include: * Comprehensive data processing: Several classical NLP datasets are packaged into a friendly module for easy use, such as Multi30k, SQuAD, CoNLL, etc. * Friendly NLP model toolset: MindNLP provides various configurable components. It is friendly to customize models using MindNLP. * Easy-to-use engine: MindNLP simplified complicated training process in MindSpore. It supports Trainer and Evaluator interfaces to train and evaluate models easily. MindNLP supports a wide range of NLP tasks, including: * Language modeling * Machine translation * Question answering * Sentiment analysis * Sequence labeling * Summarization MindNLP also supports industry-leading Large Language Models (LLMs), including Llama, GLM, RWKV, etc. For support related to large language models, including pre-training, fine-tuning, and inference demo examples, you can find them in the "llm" directory. To install MindNLP, you can either install it from Pypi, download the daily build wheel, or install it from source. The installation instructions are provided in the documentation. MindNLP is released under the Apache 2.0 license. If you find this project useful in your research, please consider citing the following paper: @misc{mindnlp2022, title={{MindNLP}: a MindSpore NLP library}, author={MindNLP Contributors}, howpublished = {\url{https://github.com/mindlab-ai/mindnlp}}, year={2022} }

Cool-GenAI-Fashion-Papers is a curated list of resources related to GenAI-Fashion, including papers, workshops, companies, and products. It covers a wide range of topics such as fashion design synthesis, outfit recommendation, fashion knowledge extraction, trend analysis, and more. The repository provides valuable insights and resources for researchers, industry professionals, and enthusiasts interested in the intersection of AI and fashion.

Cog is an open-source tool that lets you package machine learning models in a standard, production-ready container. You can deploy your packaged model to your own infrastructure, or to Replicate.

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

A massive list including a huge amount of products and services that are completely free! ⭐ Star on GitHub • 🤝 Contribute # Table of Contents * APIs, Data & ML * Artificial Intelligence * BaaS * Code Editors * Code Generation * DNS * Databases * Design & UI * Domains * Email * Font * For Students * Forms * Linux Distributions * Messaging & Streaming * PaaS * Payments & Billing * SSL

Flower is a framework for building federated learning systems. It is designed to be customizable, extensible, framework-agnostic, and understandable. Flower can be used with any machine learning framework, for example, PyTorch, TensorFlow, Hugging Face Transformers, PyTorch Lightning, scikit-learn, JAX, TFLite, MONAI, fastai, MLX, XGBoost, Pandas for federated analytics, or even raw NumPy for users who enjoy computing gradients by hand.

GPT Academic is a powerful tool that leverages the capabilities of large language models (LLMs) to enhance academic research and writing. It provides a user-friendly interface that allows researchers, students, and professionals to interact with LLMs and utilize their abilities for various academic tasks. With GPT Academic, users can access a wide range of features and functionalities, including: * **Summarization and Paraphrasing:** GPT Academic can summarize complex texts, articles, and research papers into concise and informative summaries. It can also paraphrase text to improve clarity and readability. * **Question Answering:** Users can ask GPT Academic questions related to their research or studies, and the tool will provide comprehensive and well-informed answers based on its knowledge and understanding of the relevant literature. * **Code Generation and Explanation:** GPT Academic can generate code snippets and provide explanations for complex coding concepts. It can also help debug code and suggest improvements. * **Translation:** GPT Academic supports translation of text between multiple languages, making it a valuable tool for researchers working with international collaborations or accessing resources in different languages. * **Citation and Reference Management:** GPT Academic can help users manage their citations and references by automatically generating citations in various formats and providing suggestions for relevant references based on the user's research topic. * **Collaboration and Note-Taking:** GPT Academic allows users to collaborate on projects and take notes within the tool. They can share their work with others and access a shared workspace for real-time collaboration. * **Customizable Interface:** GPT Academic offers a customizable interface that allows users to tailor the tool to their specific needs and preferences. They can choose from a variety of themes, adjust the layout, and add or remove features to create a personalized workspace. Overall, GPT Academic is a versatile and powerful tool that can significantly enhance the productivity and efficiency of academic research and writing. It empowers users to leverage the capabilities of LLMs and unlock new possibilities for academic exploration and knowledge creation.

Ling is a MoE LLM provided and open-sourced by InclusionAI. It includes two different sizes, Ling-Lite with 16.8 billion parameters and Ling-Plus with 290 billion parameters. These models show impressive performance and scalability for various tasks, from natural language processing to complex problem-solving. The open-source nature of Ling encourages collaboration and innovation within the AI community, leading to rapid advancements and improvements. Users can download the models from Hugging Face and ModelScope for different use cases. Ling also supports offline batched inference and online API services for deployment. Additionally, users can fine-tune Ling models using Llama-Factory for tasks like SFT and DPO.

Floki is an open-source framework for researchers and developers to experiment with LLM-based autonomous agents. It provides tools to create, orchestrate, and manage agents while seamlessly connecting to LLM inference APIs. Built on Dapr, Floki leverages a unified programming model that simplifies microservices and supports both deterministic workflows and event-driven interactions. By bringing together these features, Floki provides a powerful way to explore agentic workflows and the components that enable multi-agent systems to collaborate and scale, all powered by Dapr.

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

Awesome-AI-Agents is a curated list of projects, frameworks, benchmarks, platforms, and related resources focused on autonomous AI agents powered by Large Language Models (LLMs). The repository showcases a wide range of applications, multi-agent task solver projects, agent society simulations, and advanced components for building and customizing AI agents. It also includes frameworks for orchestrating role-playing, evaluating LLM-as-Agent performance, and connecting LLMs with real-world applications through platforms and APIs. Additionally, the repository features surveys, paper lists, and blogs related to LLM-based autonomous agents, making it a valuable resource for researchers, developers, and enthusiasts in the field of AI.

Awesome-Segment-Anything is a powerful tool for segmenting and extracting information from various types of data. It provides a user-friendly interface to easily define segmentation rules and apply them to text, images, and other data formats. The tool supports both supervised and unsupervised segmentation methods, allowing users to customize the segmentation process based on their specific needs. With its versatile functionality and intuitive design, Awesome-Segment-Anything is ideal for data analysts, researchers, content creators, and anyone looking to efficiently extract valuable insights from complex datasets.

The 'ai-audio-startups' repository is a community list of startups working with AI for audio and music tech. It includes a comprehensive collection of tools and platforms that leverage artificial intelligence to enhance various aspects of music creation, production, source separation, analysis, recommendation, health & wellbeing, radio/podcast, hearing, sound detection, speech transcription, synthesis, enhancement, and manipulation. The repository serves as a valuable resource for individuals interested in exploring innovative AI applications in the audio and music industry.

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.

EvalAI is an open-source platform for evaluating and comparing machine learning (ML) and artificial intelligence (AI) algorithms at scale. It provides a central leaderboard and submission interface, making it easier for researchers to reproduce results mentioned in papers and perform reliable & accurate quantitative analysis. EvalAI also offers features such as custom evaluation protocols and phases, remote evaluation, evaluation inside environments, CLI support, portability, and faster evaluation.

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

Deep learning researcher explaining Google Gemini from PDFs.

Doctoral dissertation advisor for project management and information technology. Use this as a guide to develop a dissertation plan for a master or doctoral degree program. Explore ideas and collaborate with your professor and collegues to generate your final disseration for review.

Chat with your Notion data!

Helps with creating Aero Projects

AI-to-AI direct communication mode

Asistente para TiddlyWiki, enfocado en educación. Más GPT en https://ja.cat/eduGPT

An Assistant That Helps With Quarto https://quarto.org

An expert in assisting with Obsidian, providing clear guidance and practical solutions.

Helps research scholars and drafts emails to connect with them.

Maximized online data training with extensive search and resource utilization

UX Design, UX Architecture & User Research Expert with a focus on collaborative, user-centered methods and achieving business goals.

Make videos with MrBeast and Paddy Galloway

Develops specialized materials, collaborating with scientists and utilizing CAD software expertise.

Assists in creating detailed briefs with examples on request.

Broadway-themed task coach with a musical twist.

A Smartsheet expert and consultant with a focus on coding and integration

Friendly planner for portrait shoots with creative ideas and photo references.

Design assistant for project refinement.