Research & Education

Filechat is an AI-powered tool designed to help users interact with their documents. Users can upload various documents and then engage with a chatbot to ask questions about the content. The chatbot is capable of providing precise answers, complete with direct citations from the uploaded material, ensuring accuracy and traceability. Filechat offers different subscription plans, which include credits for various features, such as API integration and secure cloud storage, catering to different user needs.

awesome-humanoid-learning is a comprehensive, curated collection of resources dedicated to humanoid robot learning. This open-source GitHub repository focuses on key areas such as locomotion, manipulation, and whole-body control, providing valuable insights for researchers and developers in the field. Recognizing the similarities in movement, it also includes relevant works on bipedal robot locomotion. The project actively bridges the gap between humanoid robotics and physics-based animation, a promising direction for future development, and is regularly updated with beneficial animation works. It features detailed lists of robot models, news, and an extensive collection of research papers categorized by year, making it an essential reference for anyone involved in humanoid robotics.

Lomdi AI, established in 1999 and listed in Shanghai in 2020, is a prominent player in the industrial electrical field. The company focuses on the research, development, and manufacturing of low-voltage distribution, industrial control appliances, and smart meters. Their product portfolio includes circuit breakers, inverters, controllers, and various metering devices. Lomdi AI provides comprehensive solutions for diverse industries such as new energy generation (photovoltaic, energy storage, wind power), traditional power grids, data centers, smart industrial applications (petrochemical, metallurgy), and commercial/residential buildings. They also offer intelligent distribution solutions like smart campus and smart park systems, emphasizing sustainable development and smart safety in electricity use.

deep-reinforcement-learning-papers is a comprehensive, open-source GitHub repository dedicated to cataloging papers and resources related to deep reinforcement learning. The collection is organized into categories such as Deep Value Function, Deep Policy, Deep Actor-Critic, Deep Model, and Application to Non-RL Tasks, making it easier for users to navigate specific areas of interest. It also includes sections for talks, slides, and other miscellaneous resources. The project is actively maintained with a stated goal to continuously add more papers and improve classification methods, welcoming contributions from the community. This resource is ideal for anyone looking to explore the foundational and cutting-edge research in deep reinforcement learning.

Noteey is a visual note-taking application designed for deep thinking and knowledge management, offering an infinite canvas to learn, brainstorm, and transform ideas into insights. It supports a wide array of content, including text, images, sticky notes, weblinks, PDFs, mind maps, videos, and sketches, all unified in one space. Key features include a comprehensive highlight system for breaking down documents and videos, timestamped video and audio notes, and drawing tools for creating diagrams. Noteey operates offline-first, storing data locally on your device for security and speed, and allows for local backups and sharing of projects. It also offers AI tools like YouTube and PDF summarizers.

TSFpaper is an open-source GitHub repository dedicated to providing a curated reading list of academic papers focused on Time Series Forecasting (TSF) and Spatio-Temporal Forecasting (STF). The repository organizes these papers by their respective model types, making it easier for users to navigate and find relevant research. It serves as a valuable resource for researchers, academics, and practitioners who are interested in staying updated with the latest advancements in these specialized forecasting domains. The collection aims to streamline the process of discovering key literature, fostering knowledge sharing within the scientific community.

Sweet Justice AI is a platform designed to help users find and access OnlyFans Telegram channels. The website boasts a collection of over 150,000 verified creators, providing a wide range of content. Users can browse various categories and get free preview content that is updated daily. The tool aims to offer exclusive access to popular groups and links across different messaging platforms, including Telegram, Discord, WhatsApp, and Messenger. While the name suggests an AI legal assistant, the actual content of the website is focused on adult content discovery, specifically OnlyFans leaks and related groups.

3D-Gaussian-Splatting-Papers is a comprehensive and continuously updated repository dedicated to research papers on 3D Gaussian Splatting. This resource is invaluable for AI researchers and computer vision engineers seeking to stay abreast of the latest advancements in the field. The repository meticulously tracks and categorizes publications from major conferences and journals, including ICLR, CVPR, ECCV, ACM MM, SIGGRAPH, NeurIPS, and many others, spanning from 2024 to 2026. It also includes an archive of survey papers and offers detailed information for each entry, such as authors, affiliations, and links to abstracts, arXiv preprints, and code repositories, making it a central hub for academic exploration and collaboration in 3D Gaussian Splatting.

The HR Management App is a comprehensive mobile application designed for HR professionals, offering a wealth of information on people management strategies, best practices, and industry news. It includes exclusive featured content, up-to-the-minute HR news headlines, videos, and blogs. The app also provides the latest HR job listings for the USA, UK, NZ, Australia, and Canada, along with information on featured industry providers. It aims to keep users at the forefront of today's HR landscape, supporting their professional development and decision-making with easily accessible content on the go.

awesome-gemini-ai is an open-source repository offering a curated collection of high-performance prompts, use cases, and examples specifically designed for Google's Gemini 1.5 Pro and Ultra models. Sourced from platforms like X (Twitter), Reddit, and top prompt engineers, this resource focuses on maximizing Gemini's capabilities for various tasks. Users can find prompts for web development and coding, UI/UX design generation, creative experiments, and even multilingual applications. The collection emphasizes utilizing Gemini's reasoning for complex applications, such as generating award-winning websites or simulating operating systems, making it a valuable resource for developers and designers looking to push the boundaries of AI-driven creation.

awesome-gan-for-medical-imaging is a curated, open-source list of Generative Adversarial Network (GAN) resources specifically tailored for medical imaging applications. Inspired by other 'awesome-*' initiatives, this repository on GitHub provides a comprehensive collection of research papers and code related to GANs in medical contexts. It covers diverse topics such as low-dose CT denoising, medical image segmentation, detection, synthesis, reconstruction, classification, and registration. Researchers can leverage this resource to explore the latest advancements and find relevant studies for their work in medical image analysis and AI development.

awesome-3D-gaussian-splatting is an open-source, curated collection of resources dedicated to 3D Gaussian Splatting (3DGS) and related technologies. This GitHub repository serves as a central hub for researchers, developers, and enthusiasts to explore papers, implementations, viewers, and learning materials. It aims to keep pace with the rapid advancements in 3DGS, offering a comprehensive database of academic papers, various community and official implementations across different programming languages, and support for popular game engines like Unity and Unreal. Additionally, it lists numerous viewers, including web-based, desktop, and VR options, alongside essential tools and utilities for data processing and development. The repository also provides extensive learning resources, including blog posts, talks, and video tutorials, making it an invaluable resource for anyone looking to understand or contribute to the 3DGS domain.

Awesome-3D-Object-Detection-for-Autonomous-Driving is a GitHub repository that accompanies a comprehensive survey paper titled "3D Object Detection for Autonomous Driving: A Comprehensive Survey (IJCV 2023)". This resource is designed to help researchers and engineers stay updated on the latest advancements in 3D object detection techniques for autonomous driving systems. The repository categorizes methods into LiDAR-based, Camera-based, Multi-Modal, Temporal, and Label-Efficient 3D Object Detection, as well as their application in Driving Systems. It provides detailed overviews of various approaches within each category, including point-based, grid-based, anchor-based, and fusion techniques. The content is structured to offer a chronological overview and includes links to relevant papers, making it an essential reference for anyone working in this specialized domain.

GoReply is a unique platform designed for businesses focusing on Corporate Social Responsibility (CSR) and Environmental, Social, and Governance (ESG) reporting. It enables employees to engage in skill-based, paid volunteering, where consultation fees are donated to carefully vetted charities. The platform connects professionals from leading organizations with individuals seeking expert advice across various industries like Consulting, Healthcare, Finance, Tech, Marketing, and Retail & Real Estate. GoReply helps companies build sustainability reporting networks by documenting employee contributions to social responsibility, enhancing their CSR and ESG profiles. Users can monetize their expertise, reduce unsolicited contact requests, and contribute to causes they care about, while businesses can track and quantify their social impact.

awesome-humanoid-robot-learning is a comprehensive GitHub repository that compiles academic papers focused on the field of humanoid robot learning. The collection is meticulously organized by the specific tasks the papers address, making it easy for researchers to find relevant work. A key differentiator of this list is its preference for papers that include real robot experiments, providing a practical and applied perspective. Additionally, papers that offer open-sourced code are highlighted with a star, encouraging reproducibility and further development within the community. This resource is invaluable for academics, researchers, and engineers looking to stay updated on the latest advancements and foundational studies in humanoid robotics and AI.

Awesome-Implicit-NeRF-Robotics is a curated repository offering a comprehensive list of research papers, code implementations, and related websites focused on Implicit Representations and Neural Radiance Fields (NeRF) within the Robotics and Reinforcement Learning (RL) domains. This resource is largely based on the survey paper "Neural Fields in Robotics: A Survey." It categorizes papers into key areas such as Object Pose Estimation, SLAM, Manipulation/RL, Object Reconstruction, Physics, and Planning/Navigation, making it an invaluable resource for academics and practitioners exploring these advanced topics. The repository is actively maintained, with regular updates on new research and workshops in the field.

Obsidian PDF++ is an Obsidian.md plugin designed to significantly improve the PDF experience by integrating robust annotation and viewing capabilities directly into the Obsidian environment. It transforms backlinks to PDF files into highlight annotations, allowing users to annotate PDFs simply by linking to text selections. The plugin also supports direct PDF annotation, making highlights visible outside Obsidian, and offers numerous quality-of-life improvements to the built-in PDF viewer. A key differentiator is its approach to sidenotes as pure markdown, ensuring annotations remain accessible even if the plugin is disabled. It also enables Obsidian to function as a standalone PDF annotation tool, facilitating seamless annotation without switching applications.

dev-conf-replay is an open-source repository that serves as a comprehensive collection of replay links for recent IT seminars and developer conferences in Korea. It organizes video recordings from various events, including those hosted by major IT companies like Naver, Kakao, Line, and Samsung, as well as specialized conferences on AI, Big Data, Cloud, DevOps, Blockchain, Mobile, and Programming Languages. This tool is designed to help developers and IT professionals easily access educational content, stay informed about the latest industry trends, and review past conference sessions at their convenience. The repository is regularly updated with new videos and categorized for easy navigation.

The Embedded-Engineering-Roadmap is an open-source resource designed to assist both aspiring and current Embedded Systems Engineers in navigating their career path and expanding their skill sets. It offers a comprehensive guide structured into three fundamental areas: Software, Hardware, and Soft Skills. The roadmap provides a curated list of learning resources, categorized by type (books, videos, articles, links) and quality (beginner-friendly, invaluable/comprehensive). It emphasizes hands-on projects as the most effective learning approach and includes links to various project ideas and educational websites. Additionally, it offers guidance on career development, search strategies, and recommended IDEs and VS Code extensions, making it a valuable tool for anyone looking to excel in embedded systems.

prettygraph is a Python-based web application developed by @yoheinakajima, designed to demonstrate a new UI pattern for text-to-knowledge graph generation. While it's an experimental project and not intended as a robust framework, it provides a simple yet interactive way to visualize knowledge graphs. The application uses Flask for the backend, LiteLLM for generating predictions that transform text inputs into JSON formatted graph data, and Cytoscape.js for visualization. A key feature is its dynamic UI, where the graph regenerates and updates in real-time with each period insertion in the text input, offering color-coded nodes and edges for better visual distinction. It requires an OpenAI API key for operation.

ONCETALK is an advanced AI tool engineered for dynamic and intelligent conversations. It leverages real-time internet data to ensure responses are always up-to-date and accurate, making it a reliable source for current information. The platform continuously learns and adapts, improving its conversational capabilities over time. This adaptability makes ONCETALK suitable for a wide array of information retrieval and interactive dialogue tasks across various domains. By offering contextually relevant and evolving insights, ONCETALK significantly enhances user engagement, providing a more intelligent and responsive interaction experience. Its core strength lies in its ability to process and utilize live data, setting it apart in delivering timely and precise information.

Traw AI is designed to enhance efficiency by transforming extensive YouTube video content into easily digestible text summaries. This tool allows users to rapidly extract key information, making it ideal for quick learning and knowledge acquisition. By streamlining the process of consuming online video, Traw saves valuable time for professionals and individuals who need to process large amounts of video data without watching every minute. Its core functionality focuses on providing concise summaries, enabling users to grasp the main points and insights from videos efficiently.

Top Contributors To Follow is a web-based tool designed to identify and showcase the most impactful users on Hugging Face. It provides a ranked table of model creators based on the cumulative likes their models have received within a selected month. Users can easily pick a specific month to see who the top contributors were during that period. Each entry in the table includes the user's name, their total likes for the chosen month, and quick links to their Hugging Face profile, making it simple to discover and follow leading figures in the AI community. This tool is particularly useful for those looking to identify influential creators, explore popular models, or stay updated on key contributors within the Hugging Face ecosystem.

EMNLP 2022 Papers offers an interactive platform for exploring research papers presented at the EMNLP 2022 conference. Users can navigate a visual map to discover connections between different papers, search by title, track, or author, and access abstracts and links directly from the map markers. This tool is designed to facilitate academic research by providing an intuitive way to browse a large collection of scientific literature, making it easier to find relevant studies and understand the landscape of research topics from the conference.