Research & Education

Opeton is an AI language tutor designed to help users achieve fluency in a second language through conversational practice. Instead of traditional grammar drills or flashcards, Opeton focuses on real-time speaking sessions with an AI tutor that adapts to the user's proficiency level. These sessions can range from 2 to 30 minutes, covering various topics from casual chats to debates. The platform offers a judgment-free environment where users can make mistakes and even switch to English if needed, ensuring a challenging yet never overwhelming learning experience. Opeton tracks conversation progress and automatically adjusts topics and difficulty, making every session fresh and engaging. It's available on both the App Store and Google Play, with the first call offered for free.

LongVideoBench is an AI tool designed for evaluating and benchmarking long video models. It provides a platform to view and sort leaderboard data based on different criteria, including accuracy by duration groups and question categories. This allows researchers and developers to compare the performance of various AI models in understanding and analyzing long-form video content. The tool is particularly useful for those working on video analysis and understanding, offering a structured way to assess model capabilities and identify areas for improvement. Hosted on Hugging Face Spaces, it leverages a robust infrastructure for data display and sorting.

Text2Human is an official PyTorch implementation for text-driven controllable human image generation, as presented in the SIGGRAPH 2022 paper. This open-source tool enables users to create human images by providing text descriptions that specify clothing shapes and textures. It includes a comprehensive framework for training and sampling, utilizing a large-scale, high-quality DeepFashion-MultiModal Dataset with rich multi-modal annotations. Researchers and developers can leverage its capabilities for tasks like generating images from parsing maps or human poses, and it offers a user interface for interactive text-to-human image generation. The project also provides pretrained models and detailed installation instructions, making it a valuable resource for AI research in computer graphics.

Upstream Vision is a comprehensive platform dedicated to transforming healthcare through a multi-faceted approach. It focuses on clinical research, developing innovative digital health solutions, and accelerating ventures within the healthcare sector. The tool acts as a digital backbone for clinical trials, patient care, and fostering clinical innovation by integrating biomarker science, advanced AI capabilities, and robust, compliant digital infrastructure. Upstream Vision aims to assist hospitals, life science sponsors, and healthtech innovators in streamlining their processes and accelerating their progress. Its ecosystem includes specialized divisions for managing trials, delivering care, and providing a development platform for new healthcare technologies.

The University of Science and Technology of Hanoi (USTH) is an international public university in Vietnam, founded under an intergovernmental agreement between Vietnam and France. USTH provides a global educational environment with programs taught in English, focusing on leading science and technology fields relevant to the 4.0 era. The university offers 20 undergraduate programs, 7 master's programs (including dual-degree options with French partners), and 7 doctoral programs, all with internationally recognized academic value. USTH emphasizes research and development, with a strong connection to industry and international collaborations, particularly with French institutions. Key highlights include a high employment or further study rate for graduates (97%) and a significant percentage of faculty holding doctoral degrees (84%).

WarriorJS is an interactive game designed to teach programming and artificial intelligence concepts through an engaging, hands-on experience. Players use JavaScript or TypeScript to write the logic that controls a warrior navigating a tower filled with challenges. Each floor presents a new puzzle, requiring players to apply their coding skills to battle enemies, rescue captives, and reach the next level. The game emphasizes logical thinking and problem-solving, making it an excellent tool for learning programming fundamentals. It supports both beginners writing their first 'if' statements and more experienced coders refactoring for optimal solutions. WarriorJS can be played via a command-line interface after a quick installation or directly in a browser.

Netflix Swedish Dub is a Chrome extension designed to help users learn Swedish by dubbing Netflix movies and shows with AI in real-time. It significantly expands the available Swedish content on Netflix from approximately 3 to over 3,500 dubs, offering a vast library for immersive language practice. This tool is ideal for individuals who want to improve their Swedish hearing skills and consume engaging content they genuinely enjoy, rather than being limited by traditional language learning materials. It integrates seamlessly with Netflix, providing a practical and entertaining way to learn the language.

awesome-self-supervised-gnn is a comprehensive repository featuring a curated list of academic papers focused on self-supervised learning within the domain of Graph Neural Networks (GNNs). The collection is meticulously organized by publication year, providing a structured overview of advancements in the field. This resource is invaluable for researchers, academics, and practitioners who need to explore, understand, and implement the latest self-supervised learning techniques for GNNs. It helps users quickly identify influential papers, indicated by a '🔥' for highly cited works, and often includes direct links to both the paper and its associated code, facilitating deeper engagement with the research.

Learn Languages AI is an innovative tool designed to help users achieve conversational fluency in various languages by interacting with an AI teacher directly on Telegram. This platform facilitates language learning through engaging activities like speaking, texting, and playing, making the process interactive and accessible. It supports a diverse range of languages including German, Polish, Spanish, Italian, French, Dutch, Brazilian Portuguese, Hindi, and Chinese. The tool emphasizes a user-friendly experience, requiring no account to start learning and offering a free trial. It's built to help users reach their language learning goals efficiently and effectively.

makeyourownneuralnetwork is an open-source code repository hosted on GitHub, designed to accompany the 'Make Your Own Neural Network' book. It offers practical examples and implementations of neural network concepts, making it an invaluable resource for individuals looking to learn and understand the fundamentals of neural networks through hands-on coding. The repository includes various Jupyter Notebooks covering topics such as MNIST dataset handling, neural network implementation, loading custom images, and backquerying. This resource is ideal for students and self-learners who want to dive deep into the mechanics of neural networks and build their own models from scratch.

xplr.zone is a travel discovery platform designed to help users explore curated travel experiences globally. It offers recommendations for activities, sights, and dining options, all based on authentic user recommendations. The platform aims to provide a comprehensive travel guide, moving beyond simple location listings to focus on creating memorable adventures. Key features include an interactive travel map, curated experience listings, and specific recommendations for things to do, places to see, and restaurants. It's ideal for travelers seeking genuine insights and a more personalized approach to planning their trips.

Score Jacobian Chaining is a technique designed for analyzing the sensitivity of machine learning models. This tool is invaluable for AI researchers and machine learning engineers seeking to understand the intricate relationship between model inputs and outputs. By providing insights into how changes in input data propagate through a model, it facilitates effective debugging and optimization. This understanding is crucial for improving model performance, ensuring robustness, and gaining deeper insights into model behavior. While the current live website indicates a runtime error, the underlying concept is highly relevant for academic research and practical application in machine learning development.

Data-Science-Interview-Resources is an open-source GitHub repository designed to help individuals prepare for Data Science and Machine Learning interviews. It offers a curated collection of resources covering essential topics such as Business Understanding, SQL and Databases, Programming Skills (Python, Scala), Mathematics (Probability, Statistics, Linear Algebra, Calculus), Machine Learning, Data Structures and Algorithms, and Domain Understanding. The repository also provides guidance on building a personal brand, crafting effective resumes, and networking. It includes links to articles, videos, and practice problems, with frequent updates to ensure relevance and comprehensiveness. This resource is personally verified by the creator, who has extensive interview experience.

Machine-Learning-in-Action is an open-source GitHub repository offering practical code implementations for various machine learning algorithms, all based on the popular book "Machine Learning in Action." Developed in Python 3, this resource is designed to help users understand and apply machine learning concepts through hands-on examples. The repository includes code for algorithms such as K-Nearest Neighbors, Decision Trees, Naive Bayes, Logistic Regression, Support Vector Machines, AdaBoost, and different regression techniques. It also provides datasets to accompany the code, making it a comprehensive learning resource for students and developers looking to deepen their understanding of machine learning.

The AEQUITAS Project is a Horizon Europe-funded initiative dedicated to eliminating bias and fostering fairness, inclusivity, and trust in AI across Europe. Its core mission is to address the multifaceted manifestations of bias and unfairness in AI systems. The project focuses on four main goals: detecting bias in existing AI systems, providing practical methods for bias repair and mitigation, designing new AI systems with anticipatory fairness-by-design practices, and raising awareness about social biases and intersectionality in AI development and deployment. AEQUITAS aims to promote ethical technology that upholds human autonomy and aligns with fundamental rights.

Syloti App is an interactive learning platform dedicated to preserving and teaching the Syloti script, a unique Bengali script. Designed for all ages, the platform offers a comprehensive approach to language learning through engaging lessons with colorful illustrations and activities. Users can practice writing Syloti with interactive exercises that provide real-time feedback, ensuring effective learning. The app also incorporates fun games to help users practice Syloti letters and build vocabulary. Syloti App aims to make learning the Syloti script accessible and enjoyable, contributing to the preservation of this linguistic heritage.

SmolVLM 256M Instruct WebGPU is an AI model developed by Hugging Face Smol Models Research, designed to provide instant visual descriptions. Users can upload a photo, and the application will generate a short text caption summarizing the image in clear, natural language. This tool operates entirely within a web browser, eliminating the need for any special setup or installations. It is particularly useful for quickly understanding the content of an image through an AI-generated description, making it accessible for a wide range of users who need immediate visual interpretation without complex configurations. The model is available as a Hugging Face Space, emphasizing its accessibility and ease of use.

BertViz is an interactive, open-source tool designed for visualizing attention mechanisms within Transformer language models. It can be seamlessly integrated and run inside Jupyter or Colab notebooks through a simple Python API, offering compatibility with most Huggingface models. BertViz extends the functionality of the Tensor2Tensor visualization tool by Llion Jones, providing multiple distinct views: the head view for single or multiple attention heads, the model view for an overview across all layers and heads, and the neuron view for visualizing individual neurons in query and key vectors. This tool is invaluable for researchers and developers seeking to understand and interpret the complex internal workings of Transformer models.

Solving Inverse Problems with FLAIR is an AI tool available on Hugging Face that allows users to tackle common inverse problems in image processing. It provides functionalities for both inpainting and super-resolution. For inpainting, users can upload a photo and draw a mask over the areas they wish to replace. For super-resolution, the tool takes a low-resolution picture and enhances its detail. The platform also allows users to write a short description of their desired outcome, guiding the AI in its processing. This tool is suitable for anyone needing to restore or enhance images through AI-driven solutions.

LangBuddy.ai is an AI language tutor designed to enhance language proficiency through interactive chat with AI native speakers. The platform offers support for over 300 languages, including various regional dialects, making it highly versatile for learners worldwide. Key features include automatic correction of mistakes with explanations, audio messages to train listening comprehension, and customizable settings for correction levels and translation into native languages. LangBuddy.ai aims to provide a cost-effective alternative to traditional tutors, offering 24/7 practice, unlimited messages, and fast responses. It is available on the web and via WhatsApp, making language learning accessible and convenient for students.

dlwpt-code is an open-source repository containing all the code examples from the book "Deep Learning with PyTorch" by Eli Stevens, Luca Antiga, and Thomas Viehmann. This resource is designed to provide practical implementations of deep learning concepts using the PyTorch framework, making it an invaluable companion for readers of the book. It covers foundational aspects of deep learning and demonstrates their application through real-life projects. The repository aims to offer intuition and selective delves into details, supporting further exploration for practitioners. It's particularly useful for those looking to get acquainted with PyTorch and understand the underlying mechanisms of deep learning.

Awesome-emdl is a comprehensive, open-source repository dedicated to embedded and mobile deep learning research. It curates a wide range of resources including academic papers, surveys, efficient DNNs, TinyML projects, and benchmarking platforms. The collection covers key areas such as model compression, quantization, pruning, and system-level optimizations for deploying deep learning models on resource-constrained devices. It also lists various inference frameworks and optimization tools from leading companies like Google, Apple, Arm, and Microsoft, making it an invaluable resource for researchers, students, and developers working on edge AI and TinyML applications. The repository is actively maintained and welcomes contributions from the community.

Answer AI: The Math Solver App is an iOS mobile application designed to assist students with their academic questions, particularly in mathematics. Utilizing artificial intelligence, the app provides instant solutions and comprehensive, step-by-step explanations for various academic problems. It functions as a personal tutor, enabling users to verify homework answers and grasp complex topics across multiple subjects. The app aims to enhance learning accessibility and efficiency, making it easier for students to understand challenging concepts and improve their academic performance. Developed by NinN Studio, it focuses on delivering a high-quality user experience.

Human Should Decide Button, also known as AI Decision Telemetry, is a unique tool designed to register user preferences for human intervention in AI-driven processes. It operates via a simple button that records instances where a human believes a human decision is preferred. The platform emphasizes anonymity, with no accounts, no tracking, and context-filtered registrations. This project aims to demonstrate the collective impact of individual human actions, providing a live signal of the demand for human involvement in AI systems. It offers an API for integration and a live status page to monitor registrations.