Research & Education

The uvadlc_notebooks repository offers a comprehensive collection of Jupyter notebook tutorials specifically designed for the Deep Learning Course at the University of Amsterdam (MSc AI). These notebooks aim to bridge the gap between theoretical concepts and practical implementation, covering diverse topics such as optimization techniques, transformers, graph neural networks, and more. The materials are available for both Fall 2023 and Fall 2024 course editions, with support for PyTorch and PyTorch Lightning, as well as JAX+Flax. Users can run the notebooks locally on CPU, utilize Google Colab for GPU access, or leverage the Snellius cluster for larger-scale training. The tutorials are integrated into PyTorch Lightning's official documentation, making them a valuable resource for students and practitioners alike.

Ugiat Technologies specializes in AI solutions designed to analyze audiovisual content. The platform offers advanced capabilities for recognizing objects, scenes, and patterns within various media formats. Beyond visual and auditory recognition, Ugiat provides tools for keyword extraction, content summarization, and comprehensive media categorization. Its primary goal is to automate the understanding and measurement of audiovisual data, making it easier for users to process and derive insights from large volumes of media content. This automation helps streamline workflows and enhance data analysis efficiency.

Debate AI is an AI-powered platform designed to help users master the art of argumentation and debate. It offers tools and insights to enhance critical thinking, articulate ideas clearly, and develop stronger reasoning skills. The platform provides personalized feedback on argument structure and helps users craft sharper rebuttals, making it an invaluable resource for preparing for competitions, honing public speaking abilities, and improving communication. Whether for personal growth, academic success, or professional development, Debate AI fosters confidence, empathy, and a deeper understanding of diverse perspectives through engaging debate practice.

Educationist.AI offers an AI-powered platform for K-12 schools to implement Holistic Progress Cards (HPC), aligning with NEP 2020, CBSE, and PARAKH frameworks. This system reduces time spent on progress reports by 85%, transforming hours into minutes. It provides a complete student view, tracking academic, emotional, and creative progress across all four school stages (Foundational, Preparatory, Middle, Secondary) with over 12,000 skills tracked. The platform features a teacher-centric design with AI-assisted observation entry, a parent and student insight portal, and automated report generation. It also maps competencies and provides tailored insights, ensuring assessments are authentic, secure, and policy-compliant with ISO 27001 certification and GDPR compliance.

Quiz Genius is an AI-powered study application designed to transform any content into interactive study materials. Users can upload notes, textbooks, photos, PDFs, or paste text, and the AI instantly generates comprehensive study sets. Key features include AI-generated flashcards with a spaced repetition algorithm for optimal retention, interactive quizzes with multiple question types and instant feedback, and an exam simulation mode for realistic test preparation. The app also creates smart notes by summarizing raw content and highlighting key concepts. Quiz Genius aims to save users hours of manual study material creation, improve information retention by up to 90% through scientifically proven learning techniques, and offer a personalized learning path that adapts to individual progress and identifies weak areas. It is available on iOS and Android, making it accessible for studying anywhere, anytime, even offline.

Periplus is an AI-powered learning environment designed to facilitate curiosity-driven learning. It allows users to explore any topic and receive personalized, AI-generated educational content, including full courses, detailed documents, interactive quizzes, and flashcards. This platform aims to provide a tailored learning experience, making it easier for individuals to acquire knowledge across various subjects. With features like flashcards and spaced repetition, Periplus supports effective memorization and retention, functioning as a personal library and generative Wikipedia for its users.

Everlyn AI is a platform designed to facilitate the creation of personalized AI tutors. Users can define specific learning objectives to generate AI tutors tailored to individual student needs. This makes it a valuable resource for teachers, parents, and tutors looking to enhance educational experiences. The platform supports automated assessment and feedback mechanisms, which can significantly streamline the grading process. Additionally, Everlyn AI promotes interactive learning through features like quizzes and tests, aiming to boost student engagement and comprehension. Its focus on customization and automated support makes it a versatile tool for various educational settings.

FictionGenie is an AI-powered platform designed to enhance children's creativity, reading abilities, and passion for storytelling through interactive and engaging storybooks. It offers a vast library of multilingual stories, including bedtime tales and fairy tales, that are carefully crafted to teach empathy, courage, and essential soft skills. The platform provides personalized feedback and insights to parents, allowing them to track their child's reading milestones, understand their personality, and nurture their growth. Stories adapt to a child's age, ensuring content is always appropriate and challenging. FictionGenie supports multiple languages, including English, Urdu, Hindi, Arabic, Spanish, and Chinese, making it ideal for fostering cultural connections and language learning.

BobaAI functions as an AI co-pilot designed for generative ideation, assisting users with various research and strategic planning tasks. It can search the web for articles and news to answer qualitative research questions, providing summaries and deeper analysis of findings. The tool also facilitates brainstorming by exploring opportunities, threats, and probabilities of future scenarios. Furthermore, BobaAI helps in developing strategies using frameworks like 'Playing to Win' and can generate 'where to play' and 'how to win' choices. It also supports storyboarding, allowing users to create illustrated scenes and customize scripts for current or future state scenarios, making it a comprehensive tool for ideation and strategic development.

KLETech-Center of Excellence in Visual Intelligence (CEVI) is a dedicated research center focused on the advancement of computer vision and immersive technologies. The center places a strong emphasis on 3D vision and aims to create solutions with significant real-world impact. CEVI actively conducts workshops, fosters collaborations with industry partners, and engages with other research institutes to drive innovation. Its work is centered around artificial intelligence and data engineering, primarily through funded projects, with a core mission to strengthen partnerships between academia and industry. This focus allows CEVI to contribute to both theoretical advancements and practical applications in visual intelligence.

OpenManus-RL is an open-source initiative, collaboratively led by Ulab-UIUC and MetaGPT, dedicated to advancing reinforcement learning (RL) tuning for large language model (LLM) agents. Inspired by successful RL tuning in models like Deepseek-R1, this project explores novel algorithmic structures, diverse reasoning paradigms, and sophisticated reward strategies. It supports rigorous testing on agent benchmarks such as GAIA, AgentBench, WebShop, and OSWorld, with all progress and tuned models openly shared. The platform integrates advanced RL algorithms like PPO and DPO through the Verl submodule, offering efficient and flexible training capabilities. It also provides a simplified library for Supervised Fine-Tuning (SFT) and GRPO tuning, making it a comprehensive solution for researchers and developers looking to push the boundaries of agent reasoning and tool integration.

OASIS: Quantum-Classical Finance Hybrid reimagines financial analysis by connecting the world and making the process faster and more accurate through the power of Quantum Computing and Artificial Intelligence. This tool acts as a secret superpower in financial markets, utilizing Qubits to challenge multiple financial market scenarios simultaneously, leading to more accurate predictions. AI plays a crucial role by serving as a gateway for raw financial data input, storing data for cross-referencing, and eliminating errors by analyzing and cross-checking responses from the Quantum Computer. The final output is polished and presentation-ready, offering enhanced insights into financial market movements.

Echo Reading is an AI-powered eBook reader designed to enhance the reading experience by integrating annotation and AI chat functionalities directly into the platform. It allows users to interact with their PDF documents in a novel way, enabling them to select text and instantly ask questions without the need for manual copy-pasting. This open-source tool prioritizes user privacy and data security by utilizing the user's own OpenAI API key, ensuring that all data remains local. It aims to streamline the process of understanding complex texts and conducting research by providing immediate AI assistance within the reading environment.

ai-agents-masterclass is a comprehensive GitHub repository designed to accompany an AI Agents Masterclass video series. It offers all the code and resources used in the YouTube series, enabling developers to follow along and build their own AI agents. The masterclass focuses on empowering developers to leverage AI agents for transforming businesses and creating sophisticated software. The repository includes examples for building agents with LangChain, LangGraph, n8n, and other technologies, covering topics from basic agent creation to RAG agents, task management, and deployment. It serves as a practical guide for anyone looking to dive deep into AI agent development.

Claude Outline Navigator & Export is a powerful Chrome extension designed to significantly improve the user experience on Claude.ai. It automatically generates structured outlines from your Claude conversations, making it easy to understand the flow and main topics discussed. Users can jump instantly to any section of their conversation with one click, eliminating the need for endless scrolling. The extension also offers robust export capabilities, allowing conversations to be saved in Markdown, JSON, CSV, or TXT formats. This tool is ideal for anyone looking to boost productivity, organize their Claude AI interactions more effectively, and easily share or process conversation data.

AdderNet is an innovative AI framework designed to significantly reduce computation costs in deep neural networks, particularly convolutional neural networks (CNNs), by replacing traditional multiplications with more efficient additions. This is achieved by using the L1-norm distance between filters and input features as the output response. The framework demonstrates impressive performance, achieving 74.9% Top-1 accuracy and 91.7% Top-5 accuracy using ResNet-50 on the ImageNet dataset, all without any multiplication operations in the convolution layer. It also shows strong classification results on CIFAR-10 and CIFAR-100 datasets, as well as competitive super-resolution and adversarial robustness benchmarks. The project provides code for training and evaluation on these datasets, making it a valuable resource for researchers and developers focused on efficient deep learning.

RE•WORK is a leading global events company specializing in AI and Deep Learning. They create and organize globally renowned summits, workshops, and dinners, bringing together the brightest minds in AI from both industry and academia. Their events showcase the latest technological advancements in AI, alongside practical examples for applying AI to solve challenges in business and society. RE•WORK fosters a diverse AI community, featuring speakers from tech giants like Google, Apple, DeepMind, Amazon, and Facebook, as well as world-renowned academic institutions. Beyond events, RE•WORK provides analysis of current trends through podcasts, white papers, and video interviews, and hosts initiatives like the Women in AI Dinner and Rising Stars Sessions.

This repository, A-Curated-List-of-ML-System-Design-Case-Studies, offers a comprehensive collection of over 300 machine learning (ML) system design case studies from more than 80 leading companies. It details practical applications and insights into how ML is used to improve products and processes across various industries like tech, finance, healthcare, and e-commerce. The case studies cover diverse ML applications such as computer vision, natural language processing, recommender systems, and fraud detection. Each study is sourced from detailed blogs, papers, or articles, providing authentic and in-depth information on model designs, evaluation criteria, and deployment architectures. It's a valuable resource for anyone looking to understand real-world ML systems in production.

AnglE is an open-source library designed for training and inferring state-of-the-art BERT/LLM-based sentence embeddings. It utilizes an angle-optimized approach, offering various loss functions like AnglE loss, Contrastive loss, CoSENT loss, and Espresso loss. The library supports both BERT-based and LLM-based models, including bi-directional LLMs, and facilitates single-GPU and multi-GPU training. AnglE has achieved SOTA performance on benchmarks like STS and MTEB, with models trained using AnglE reaching top positions. It provides a flexible framework for researchers and developers to build and deploy high-quality sentence embedding models.

This open-source project offers a comprehensive collection of PyTorch implementations for various deep learning papers and algorithms. Each implementation is meticulously documented with side-by-side explanations, designed to enhance understanding of complex concepts. The repository is actively maintained, with new implementations added almost weekly, covering a wide range of topics including transformers (original, XL, Switch, Feedback, ViT), optimizers (Adam, AdaBelief, Sophia), GANs (CycleGAN, StyleGAN2), and reinforcement learning (PPO, DQN). It also features implementations for Capsule Networks, Distillation, and various normalization layers. This resource is ideal for students, researchers, and developers looking to delve deeper into the practical application and theoretical underpinnings of deep learning.

The University of Waterloo's Data & Artificial Intelligence Institute (Waterloo.AI) is a multidisciplinary research institute dedicated to advancing AI for economic prosperity and quality of life. It focuses on developing intelligent systems for various applications, including disease detection, language understanding, and vehicle navigation. The institute actively collaborates with industry partners to bridge the gap between academic research and practical, deployable AI solutions. Waterloo.AI aims to foster innovation and talent in the AI field, contributing to real-world impact through its research and partnerships.

AlpacaEval is an automatic evaluator designed for instruction-following language models, providing a fast, cheap, and highly correlated alternative to human evaluation. It boasts a Spearman correlation of 0.98 with ChatBot Arena, costing less than $10 of OpenAI credits and running in under 3 minutes. The tool offers precomputed leaderboards for common models, an automatic evaluator validated against 20K human annotations, and a toolkit for building advanced automatic evaluators with features like caching, batching, and multi-annotators. It also includes 20K human evaluation data and a simplified AlpacaFarm evaluation dataset. AlpacaEval is particularly useful for rapid model development and iterative testing, though it cautions against replacing human evaluation for high-stakes decision-making due to potential biases and limitations in instruction representativeness.

Speak Fluent is an AI-powered language learning application specifically designed to help individuals prepare for and pass the Dutch Inburgering speaking exam. It provides access to over 200 real exam questions, allowing users to practice under timed pressure, mimicking the actual test environment. The tool offers instant AI pronunciation feedback, helping users identify and correct mistakes immediately. Speak Fluent is not a general language course but a dedicated speaking exam simulator, available on iOS and Android, and can be used offline for premium users. It aims to be a cost-effective alternative to traditional language classes, offering unlimited practice tests and detailed analytics to track progress.

Auto-Deep-Research is an open-source, fully-automated personal AI assistant designed as a cost-effective alternative to OpenAI's Deep Research. Built on the AutoAgent framework, it boasts high performance on the GAIA Benchmark and offers universal LLM support, seamlessly integrating with a wide range of models including OpenAI, Anthropic, Deepseek, vLLM, Grok, and Huggingface. The tool supports both function-calling and non-function-calling interaction LLMs and handles file uploads for enhanced data interaction. Users can get started instantly with a simple command, requiring zero configuration for an out-of-the-box experience. It aims to provide a personal assistant at a much lower cost, leveraging pay-as-you-go LLM API keys.