Research & Education

KB2E is a knowledge graph embedding tool developed as a subproject of THU-OpenSK. It provides implementations for several prominent knowledge graph embedding algorithms, including TransE, TransH, TransR, and PTransE. These algorithms are crucial for representing entities and relations in a knowledge graph as low-dimensional vectors, enabling various downstream tasks like link prediction and entity classification. While the project offers valuable resources for researchers and developers interested in knowledge graph embeddings, it is important to note that KB2E is no longer actively maintained. Users are advised to transition to the newer and actively supported OpenKE package for continued development and support in this domain.

Machine-learning-engineering-for-production-public serves as the official public repository for DeepLearning.AI's Machine Learning Engineering for Production Specialization. This resource is designed to support students and professionals in understanding the intricacies of deploying machine learning models into real-world production environments. The repository contains various materials, including course content, labs, and other public resources relevant to the specialization's curriculum. While it provides valuable learning assets, the repository is currently not accepting pull requests for contributions. It is an essential companion for anyone undertaking the DeepLearning.AI MLEP Specialization, offering practical insights and foundational knowledge for machine learning engineering.

Mainstay is an AI success coaching platform designed to enhance student engagement and success through human-centered, AI-enhanced conversations. It provides personalized guidance directly to students' mobile phones, acting as a success coach. The platform offers an AI Success Coaching feature for students, a Conversation Co-pilot for staff to reclaim time and enhance empathy, and Conversation Insights for institutional leaders to understand student needs and foster belonging. Mainstay's approach is backed by research, utilizing a SPARK model and pre-built conversation libraries informed by mindset science and behavioral economics to drive behavior change and improve outcomes.

Modern Mindset is a Dutch e-learning platform dedicated to empowering educational professionals with the knowledge and tools to effectively and safely implement AI in their work. The platform offers a comprehensive approach, covering AI knowledge through short, applicable lessons, both physically and via an e-learning platform. It provides practical advice on change management, communication, and curriculum integration, tailored to individual schools. Modern Mindset also fosters a community for professionals to exchange experiences and learn from practical examples. Key offerings include AI Wetwijzer for navigating AI legislation and privacy, Master AI for foundational AI skills, and Deepdive X for concrete applications like lesson preparation and differentiation. The platform emphasizes building an adaptive organizational culture through AI Mindset, promoting ownership and trust.

Machine-Learning-Interviews is an open-source GitHub repository designed to guide individuals through the preparation process for Machine Learning and AI technical interviews. This resource is particularly valuable for those targeting roles like Machine Learning Engineer and Applied Scientist at prominent tech companies. It covers essential interview modules such as general coding (algorithms and data structures), ML-specific coding, ML fundamentals, ML system design, and behavioral questions. The repository also includes a new section on Agentic AI Systems, reflecting the latest trends in AI engineering. Compiled from the author's personal experience and successful interview preparations, it offers a structured approach to mastering the diverse components of technical ML interviews.

machine-learning-yearning-cn is the Chinese translation of Andrew Ng's influential book, "Machine Learning Yearning." This resource is specifically designed to equip AI engineers and practitioners with practical, technical strategies for navigating the complexities of machine learning projects. It covers essential topics related to training and managing machine learning systems, offering insights into debugging, error analysis, and overall project optimization. The project is open-source and encourages community contributions to improve translation quality, making it a collaborative effort to disseminate crucial AI knowledge within the Chinese-speaking community. It serves as a valuable study assistant for those looking to deepen their understanding and application of machine learning principles.

Reliant AI is an applied AI tool designed for the life sciences industry, simplifying the labor-intensive process of collecting, organizing, and inspecting vast amounts of complex data. It combines a standardized AI engine with customized solutions to work alongside biopharma teams, from portfolio strategy to launch success prediction. The platform offers high-confidence planning and insights by transforming commercial decision-making with advanced ML and reinforcement learning models tailored to life sciences data. Key features include automated ingestion with expert annotation for high precision, life-science-specific AI that makes fewer errors than general tools, and the ability to connect current assets to commercial outcomes through densified Knowledge Graphs. It accelerates systematic reviews by screening and extracting data from full-text PDFs and conference documents, ensuring total accountability by tracing findings back to original sources.

Springboard is designed to streamline preparation for meetings and workshops, offering crucial market, technological, and trend insights. This tool is particularly beneficial for professionals who need to quickly gather information before client kick-off meetings or design sprints. It helps users like Product Owners, Workshop Facilitators, Business Analysts, Design Sprinters, Product Managers, and Digitalisation/Innovation Managers to come prepared and lead effective sessions. By providing key information nuggets, Springboard aims to empower users to kick-off their engagements with confidence and expertise, ensuring they are always one step ahead.

KnowledgeNet.ai offers AI Engage™, a platform designed to transform insight into consistent revenue by bridging the gap between sales enablement strategy and revenue execution. It provides advanced outbound intelligence specifically for B2B sales teams. The tool aims to help businesses discover opportunities and accelerate decision-making by leveraging AI to manage and utilize corporate conversations and enterprise knowledge. By linking transactional conversations and data repositories, KnowledgeNet.ai creates a cohesive view of intellectual capital, enabling more effective sales strategies and improved revenue generation.

Learn Creole with Jorge is a comprehensive language learning platform designed to make mastering Haitian Creole accessible and enjoyable for all ages. The tool offers a variety of engaging features, including interactive games that transform learning into play, and a rich collection of music and videos that immerse users in Haitian culture. Learners can track their progress with badges and streaks, staying motivated as they build their skills. Whether the goal is to connect with family, deepen a relationship with a Haitian partner, prepare for travel to Haiti, or simply enjoy the process of learning a new language, Learn Creole with Jorge provides a fun and meaningful pathway to fluency.

Qvantify automates qualitative research by using AI to conduct remote interviews, allowing organizations to gather hundreds of deep feedback interviews daily. The platform enables continuous discovery, market expansion assessment, and solution validation by letting AI interact with customers and users. It combines the simplicity of surveys with the depth of in-depth interviews, offering features like white-labeling for brand customization and localization for conducting interviews in over a hundred languages. Qvantify also provides a REST API for data access and future features include a customer portal, voice input, and outbound calling, making it a comprehensive tool for scalable qualitative feedback.

Paloma is an innovative education tool designed to empower Title I districts and Charter Management Organizations (CMOs) by transforming parents into effective teaching partners. The platform offers a mobile web-app that facilitates daily, short-burst tutoring sessions in reading and math, personalized to each student's learning needs and interests. Paloma texts families with daily sessions, structured with 'I do, we do, you do' building blocks, and creates decodable books and math story problems where kids are protagonists. This approach aims to unlock up to 1,000 extra hours of one-on-one instructional time per classroom annually, significantly boosting student academic success and attendance while saving teachers valuable time.

Falcon-H1-Tiny offers a series of compact language models designed to push the boundaries of AI capabilities at a small scale. These models are available on Hugging Face Spaces and are ideal for research and experimentation. Users can input prompts and receive generated responses from these lightweight but capable AI models, making them suitable for various applications including research paper analysis, data visualization, and the development of small-scale AI applications. The focus on models with 100 million parameters or less makes them particularly efficient and accessible for developers and researchers working with limited resources.

awesome-segment-anything is a comprehensive repository dedicated to tracking and summarizing research progress related to Segment Anything in the field of Computer Vision. It provides a curated list of papers and projects, covering various applications such as medical image segmentation, inpainting, camouflaged object detection, video frame interpolation, and robotics. The repository is continuously updated with the latest breakthroughs, including new models like SAM 3 and EfficientSAM. It serves as a valuable resource for researchers and academics looking to stay informed about developments and applications of Segment Anything.

Course.im provides a free platform for creating and sharing online courses, designed to be user-friendly with AI assistance. It offers an intuitive drag-and-drop editor, similar to Notion, for easy content creation and customization. Users can add multimedia elements and organize lessons efficiently without needing technical skills. The platform includes a website builder, enabling the creation of unlimited courses and websites, with the option to connect a custom domain. Courses can be easily embedded into existing websites, much like a YouTube video, by simply copying and pasting a code snippet. This tool is part of the Website.im ecosystem, offering additional features like website building and logo generation.

Awesome-RGBT-Fusion is a comprehensive, open-source collection dedicated to deep learning-based RGB-T fusion methods, codes, and datasets. This resource is invaluable for researchers and developers working in computer vision, particularly those interested in multispectral data. The collection covers key areas such as Multispectral Pedestrian Detection, RGB-T Aerial Object Detection, RGB-T Semantic Segmentation, RGB-T Crowd Counting, and RGB-T Fusion Tracking. It provides access to various datasets, tools, and a curated list of academic papers with links to PDFs and code repositories. The project actively encourages contributions, making it a dynamic and evolving hub for advancements in RGB-T fusion.

Awesome-RL-VLA is a comprehensive GitHub repository dedicated to Reinforcement Learning of Vision-Language-Action (RL-VLA) models for robotic manipulation. It serves as a curated list of academic papers and resources, offering a detailed overview of various training paradigms, methodologies, and state-of-the-art approaches in the field. The repository categorizes RL-VLA research into Offline, Online, and Test-time RL-VLA, detailing key research directions and adaptation mechanisms for each. It also includes a substantial paper collection with a legend for easy navigation, useful resources covering action optimization, base VLA models, datasets, benchmarks, frameworks, and tools. This resource is invaluable for researchers and academics looking to explore or contribute to the rapidly evolving domain of AI-powered robotic manipulation.

SandboxAQ is a B2B company that utilizes the compound effects of AI and advanced computing to tackle significant societal challenges. Their Large Quantitative Models (LQMs) are applied across diverse fields, including AI drug discovery, new chemicals and materials innovation, cybersecurity, navigation, and medical diagnostics. The platform offers technologies such as AI simulation, cryptography management for enhanced cybersecurity, and AI sensing for global organizations. SandboxAQ's approach focuses on quantitative AI, grounded in physics and chemistry, to provide real-world solutions with clear outputs and reduced uncertainty, making it scalable and proven for high-stakes domains.

AlfaPTE is an advanced online platform and mobile application designed for comprehensive preparation for the PTE Academic/UKVI, PTE Core, IELTS, and LanguageCert exams. It features cutting-edge AI-powered scoring that mirrors the actual PTE exam, providing instant feedback to help users identify strengths and areas for improvement. The platform offers the latest and most updated study materials with real exam simulations, ensuring test-takers are familiar with the exam structure and question types. Users can access a wide range of full, sectional, and customizable mock tests, accompanied by in-depth score analytics and performance tracking to fine-tune their preparation strategy. AlfaPTE supports a global community of over a million users, offering a complete solution for English proficiency test preparation.

MathDash is an AI-powered math coaching platform specifically designed for students preparing for AMC 8, AMC 10, AMC 12, and MATHCOUNTS competitions. It offers a comprehensive training experience with over 10,000 practice problems, personalized training plans, and expert coaching to help users achieve success in math contests. The platform focuses on providing a structured approach to mastering complex mathematical concepts and improving problem-solving skills, making it an ideal resource for dedicated math competition participants.

2read is an AI-powered application designed to streamline the consumption of digital content by providing concise summaries and organizing information efficiently. It helps users quickly grasp key insights from articles, documents, and web pages, enhancing productivity and knowledge retention. The tool aims to simplify the process of understanding complex information by distilling it into easily digestible formats. This makes it ideal for anyone needing to process large volumes of text quickly, whether for academic research, professional development, or general knowledge acquisition. By focusing on efficient information organization, 2read supports better knowledge management and recall.

ProteinMPNN + ESM is an AI-powered tool hosted on Hugging Face that facilitates the prediction of novel protein sequences designed to fold into a specified protein structure. This application allows users to either provide a PDB code for an existing protein structure or upload their own protein structure file. It integrates the capabilities of ProteinMPNN for sequence design with ESM for enhanced protein understanding. Users can customize settings such as the number of sequences to generate, making it a versatile tool for researchers in structural biology and protein engineering who need to explore sequence-structure relationships.

Photomath is a highly-rated mobile application designed to assist students and learners with math problems. Users can scan a problem using their smartphone's camera, including word problems, or input it through a smart calculator. The app then provides a solution, often with multiple methods to choose from, and offers detailed step-by-step explanations to ensure understanding. It covers a wide range of mathematical subjects, including elementary math, algebra, geometry, trigonometry, statistics, and calculus. Photomath aims to help users learn and build their math skills rather than just providing answers, making it a valuable tool for homework help and self-study.

RepDistiller is an open-source project that implements Contrastive Representation Distillation (CRD), as detailed in its ICLR 2020 paper. Beyond CRD, it serves as a comprehensive benchmark for 12 state-of-the-art knowledge distillation methods within the PyTorch framework. This tool enables users to run various distillation experiments, train student networks from pre-trained teacher models, and combine different distillation objectives. It provides scripts for fetching pre-trained teachers and running distillation processes, making it a valuable resource for researchers and developers working on model compression and efficiency.