Research & Education

aiEDU is a 501(c)(3) non-profit organization committed to ensuring all students are prepared to live, work, and thrive in a world increasingly shaped by artificial intelligence. The organization collaborates with education systems to advance AI literacy and readiness through various initiatives. These include providing research-based curricular resources for educators across subjects like Computer Science, Math, English, Social Studies, Science, and CTE. aiEDU also offers professional learning opportunities, such as the aiEDU Trailblazers Fellowship, and district programs like the AI Readiness Framework, empowering administrators and school leaders. Their goal is to evolve the education system to meet the new demands of an AI-transformed world, fostering a national effort with partners and stakeholders in the K12 ecosystem.

UNETR++ is an open-source tool designed for efficient and accurate 3D medical image segmentation, developed by researchers from Mohamed Bin Zayed University of Artificial Intelligence, University of California Merced, Google Research, and Linkoping University. It addresses the computational bottleneck of traditional self-attention mechanisms in volumetric medical imaging by introducing a novel efficient paired attention (EPA) block. This block efficiently learns spatial and channel-wise discriminative features with linear complexity, reducing parameters, compute cost, and inference speed. The tool has been extensively evaluated on five benchmarks, including Synapse, BTCV, ACDC, BRaTs, and Decathlon-Lung, demonstrating state-of-the-art performance with significant efficiency gains. It is available in Keras 3 as part of the AI Toolkit for Healthcare Imaging.

Unet-Segmentation-Pytorch-Nest-of-Unets is an open-source project offering a comprehensive collection of Unet model implementations for image segmentation tasks using PyTorch. This tool provides various architectures, including the original Unet, RCNN-Unet, Attention Unet, RCNN-Attention Unet, and Nested Unet (UNet++). It is designed for developers and researchers working on biomedical image segmentation or other image analysis problems. The repository includes code for data loading, model definitions, metrics, and visualization, making it a valuable resource for experimenting with and applying different Unet-based segmentation models. Users can easily clone the repository, install dependencies, and configure data paths to run the models.

Opennote, formerly known as Deep Tutor, is an AI-powered notebook designed to enhance learning and knowledge management. It allows users to capture and organize notes with a rich editor, and interact with Galileo, an AI thinking partner, to ask questions, explore ideas, and receive clear explanations. The platform can generate videos, diagrams, and visual explanations for concepts, create inline flashcards and quizzes, and record audio or process YouTube links for instant notes and summaries. Opennote aims to centralize learning materials, providing proactive suggestions and practice problems to help users understand and retain information more effectively.

MIND-Interview is an AI-powered platform designed to assist both job seekers and recruiters in the interview and hiring process. For job seekers, it offers AI-driven interview coaching to help them prepare effectively and create compelling video resumes. Recruiters can leverage the platform for resume analysis and to conduct AI-powered interviews, which aims to streamline candidate screening and evaluation. The tool focuses on enhancing the efficiency and effectiveness of recruitment by providing intelligent insights and automated functionalities, ultimately aiming to improve the matching process between candidates and roles.

MySivi is an AI English speaking tool designed to help users master English speaking online. It features Arya, an AI English teacher, who provides instant feedback on pronunciation, grammar, and fluency during real conversations. The platform supports scenario-based learning for various situations like job interviews or daily chats, and offers a personalized learning path for all skill levels. Users can also connect with co-learners globally for practice calls. MySivi tracks progress, offers multi-language support for learners, and covers a wide range of topics, making it a comprehensive solution for improving English speaking skills.

Knowt is a comprehensive AI study tool designed to be the #1 free alternative to Quizlet, trusted by millions of students and teachers. It offers a suite of AI-powered features including an AI Lecture Notetaker that records lectures and instantly generates detailed notes, flashcards, quizzes, and games. Users can also leverage its AI PDF Summarizer to transform long readings into study guides and interactive recall methods. Knowt provides unlimited free access to study modes like Learn, Match, and Practice Test, which are often paid features on other platforms. Additionally, it includes a Voice Tutoring & Podcasts feature, allowing Kai, the AI, to quiz users verbally or create podcasts from uploaded content. Knowt supports various file types, including PDFs, PowerPoints, lecture videos, and audio, making it a versatile study companion for any subject.

Jhfhnrqgx-Gxeelqj-Vwxglr, also known as SESA Audio Separation, is an AI-powered tool hosted on Hugging Face Spaces designed for video and audio source separation. This application provides a Gradio-powered web interface, enabling users to easily interact with its functionality directly through a browser. Users can run the tool locally or share it publicly via a link. The primary function is to separate different audio and video sources within a given input, which can be useful for various applications such as remixing, cleaning up audio, or isolating specific elements from a media file. It leverages AI models to perform these separation tasks efficiently.

ThoughtSource is an open and central resource designed for researchers and developers working with chain-of-thought reasoning in large language models. It provides a comprehensive collection of datasets, including general question answering, scientific/medical QA, and math word problems, all formatted for standardized chain-of-thought analysis. The platform also includes tools for generating reasoning chains with various language models (OpenAI, Hugging Face) and evaluating their performance. With its dataset annotator and viewer applications, ThoughtSource aims to foster a community around improving trustworthy and robust reasoning in AI, particularly for scientific research and medical practice. It is developed by the Samwald research group.

text_gcn is an open-source implementation of Graph Convolutional Networks (GCNs) specifically designed for text classification tasks. This tool provides the necessary code to reproduce the results presented in the paper "Graph Convolutional Networks for Text Classification" from the AAAI 2019 conference. It requires Python 2.7 or 3.6 and Tensorflow >= 1.4.0, making it accessible for those familiar with these environments. The repository includes scripts for data preparation, graph building, and model training, along with examples for various datasets like 20ng, R8, R52, ohsumed, and mr. An inductive version, fast_text_gcn, is also available for scenarios where test documents are not included in the training process.

tf-cpn is a Tensorflow re-implementation of the Cascaded Pyramid Network (CPN), a state-of-the-art model for multi-person pose estimation that won the 2017 COCO Keypoints Challenge. This open-source tool provides researchers and developers with the code and pre-trained models necessary to implement and experiment with advanced pose estimation. It includes detailed instructions for training on the MSCOCO dataset, downloading base models, and running validation tests. The repository also offers pre-trained models for various configurations (ResNet-50, ResNet-101 with different input sizes) and provides performance metrics on COCO minival and test-dev datasets, making it a valuable resource for academic and practical applications in computer vision.

ISSEN offers an AI-powered language tutor designed to help users master foreign languages through personalized, real-time voice interactions. The platform adapts lessons and chats to each user's specific skill level, interests, learning style, and goals, providing a highly customized learning experience. Users can engage in natural, back-and-forth dialogue to build fluency, with the tutor understanding and speaking both the native language and the language being learned. ISSEN supports flexible learning structures, from focused grammar lessons to casual conversations, and is available 24/7. It aims to replicate the effectiveness of a human tutor by offering conversational immersion, personalized curriculum, and features like shadowing and translation drills to improve pronunciation.

aima-pseudocode is an open-source GitHub repository offering pseudocode descriptions of algorithms found in Russell and Norvig's seminal textbook, "Artificial Intelligence - A Modern Approach." This resource is invaluable for students and researchers looking to understand the foundational logic behind various AI algorithms. The algorithms are available in both PDF format for quick reference and Markdown format, allowing for easy integration into digital notes or projects. The repository actively maintains and updates the pseudocode, including versions for both the 3rd and 4th editions of the textbook, ensuring relevance and accuracy for current studies. It serves as a practical companion to the textbook, facilitating deeper comprehension and implementation of AI concepts.

machine-learning-interview is a GitHub repository offering an extensive collection of resources for individuals preparing for machine learning interviews. It features a minimum viable study plan, covering topics from LeetCode questions to advanced ML system design. The repository includes real interview experiences from FAANG, Snapchat, and LinkedIn, along with detailed guides on ML system design use cases like YouTube recommendations and ad click prediction. It also provides quizzes to test ML knowledge and links to a Machine Learning System Design book on Amazon, making it a valuable resource for job seekers in the ML field.

Machine-Learning-for-Algorithmic-Trading-Second-Edition_Original is an open-source GitHub repository accompanying the "Machine Learning for Algorithmic Trading, Second Edition" book published by Packt. This comprehensive resource aims to show how machine learning can add value to algorithmic trading strategies in a practical yet comprehensive way. It covers a broad range of ML techniques, from linear regression to deep reinforcement learning, and demonstrates how to build, backtest, and evaluate trading strategies driven by model predictions. The repository contains over 150 notebooks that put the book's concepts, algorithms, and use cases into action, providing numerous examples for working with market, fundamental, and alternative data, training models, and designing trading strategies. It also includes applications replicating recently published research and uses the latest software versions like pandas 1.0 and TensorFlow 2.2.

Hypelist is a dynamic platform designed for discovering, sharing, and receiving personalized recommendations across various categories like places, books, movies, and games. Users can create and organize lists of their favorite items, adding personal photos, notes, and ratings. The tool fosters community interaction, allowing users to explore recommendations from others, read reviews, and check comments. Hypelist also supports real-time list building with friends and offers the ability to import existing lists and content from other sources. Its AI engine learns user preferences over time, providing increasingly sharper and more relevant recommendations, making it a smart way to collect and enjoy things that matter.

GPU Per Hour is a comprehensive platform designed to help users find the most cost-effective cloud GPU solutions. It aggregates and compares real-time pricing from 28 different cloud GPU providers, covering over 17,000 individual offers across 87+ GPU models. Prices are updated every 60 seconds, ensuring users have access to the latest market rates for GPUs such as H100, A100, and RTX 4090. The platform allows users to filter by VRAM, pricing type (on-demand, spot, reserved), provider, and location to identify the cheapest option for their specific AI and ML workloads. It also provides insights into how cloud GPU pricing works, detailing factors like GPU model, VRAM, number of GPUs, provider, and region, and offers a cost calculator that accounts for data egress, storage, and networking fees.

Genfocus Demo is an AI-powered tool designed to enhance image clarity by addressing blurriness. Users can upload a blurry photograph and then either apply a general focus improvement across the entire image or selectively sharpen particular regions. The tool provides an interactive interface where users can click on the desired areas to bring them into sharp focus. This capability makes it useful for improving the quality of photographs where certain elements are out of focus or the entire image lacks sharpness. Hosted on Hugging Face Spaces, it offers a straightforward way to experiment with image refocusing technology.

InteractiveVideo is presented as a Hugging Face Space, suggesting it's an AI application for video processing or generation. While the exact functionalities are not detailed due to a current runtime error, its presence on Hugging Face implies it leverages machine learning models for interactive video experiences or content creation. The tool is developed by Yiyuan Zhang and is licensed under Apache-2.0, indicating it might be open-source or have open-source components. However, at present, users are unable to interact with the application due to a scheduling failure and runtime error, making its specific capabilities and use cases inaccessible.

Scholarjoiner serves as Nigeria's premier education and finance portal, specifically designed to assist students with their academic and financial needs. The platform provides free access to past questions for major Nigerian examinations like JAMB and WAEC, along with CBT practice tests to help students prepare effectively. Beyond exam preparation, Scholarjoiner offers comprehensive information on top scholarships, both local and international, and valuable financial tips. It also includes resources for admission processes, student visas for countries like the UK, USA, and Australia, and guides on student loans. The tool aims to be a one-stop resource for Nigerian students navigating their educational journey and financial planning.

DTG Demo is a tool available on Hugging Face that assists users in generating detailed image tags for AI art. Users provide input preferences such as rating, characters, artist, and general tags, and the tool processes this information to create appropriate tags. This functionality is particularly useful for those involved in AI art creation who need precise and descriptive tags to categorize or enhance their generated images. The tool is offered free of charge and operates as a web application, making it accessible to a broad audience interested in exploring AI functionalities for art generation. It is licensed under Apache-2.0.

FBPINNs provides a robust framework for solving complex forward and inverse problems involving partial differential equations (PDEs). It leverages finite basis physics-informed neural networks (FBPINNs), which combine the strengths of PINNs with domain decomposition, individual subdomain normalization, and flexible training schedules. This approach significantly outperforms traditional PINNs in accuracy and computational efficiency, especially for problems with high frequencies or multi-scale solutions. The library has been re-engineered in JAX, enabling 10-1000X faster execution by parallelizing subdomain computations. Users can define custom problem domains, PDEs, domain decompositions, and neural network architectures, making it highly flexible for various scientific computing tasks. It also supports solving inverse problems and integrating arbitrary boundary/data constraints.

PSLD is an AI research tool hosted on Hugging Face Spaces, intended for experimentation and research in artificial intelligence. While its purpose is to facilitate the exploration of AI algorithms, the current live version is encountering significant runtime errors, preventing it from functioning as intended. The tool's logs indicate issues with downloading stable diffusion pretrained weights and loading model checkpoints, suggesting it is in a developmental or unmaintained state. It aims to provide a platform for researchers and AI enthusiasts to test and develop AI models.

Bubble Prompter is a free-to-use AI tool available on Hugging Face, designed for creating and manipulating text bubbles. Users can enter or paste text into the application to format, clean, and organize it into distinct bubbles. This functionality enhances readability and allows for better emphasis of specific text segments. While the tool's domain is unknown, its presence on Hugging Face suggests a focus on AI-driven text manipulation and organization, making it suitable for various applications from educational settings to creative experimentation.