Research & Education

Maths.ai is an AI-powered online math tutor designed to help users of all levels, from arithmetic to calculus, conquer math challenges. It offers instant, step-by-step explanations for math doubts and questions, making complex equations and formulas easy to understand. The platform provides 24/7 availability, global access, and a judgment-free space for asking any question. With affordable plans, Maths.ai adapts to individual learning paces and levels, ensuring a personalized learning experience. It aims to make math cool and accessible, helping students and professionals alike to build and refresh their math skills.

samples-for-ai is a comprehensive collection of deep learning samples and projects designed to help beginners get started with deep learning. It encompasses a wide range of classic deep learning algorithms and applications, supporting multiple frameworks including TensorFlow, CNTK (BrainScript and Python), PyTorch, Caffe2, Keras, MXNet, Chainer, and Theano. The project offers samples in Visual Studio solution format, making it accessible for users leveraging Microsoft Visual Studio Tools for AI or Open Platform for AI. Users can run samples locally or submit jobs to OpenPAI, providing flexibility in deployment. This open-source initiative encourages contributions and adheres to the Microsoft Open Source Code of Conduct, fostering a collaborative environment for deep learning development.

Werk in het Vooruitzicht is an AI-driven platform designed for individuals seeking to change or advance their careers in IT. It provides tools to discover suitable professions based on unique skills and talents, offering insights into what truly aligns with personal strengths. The platform features an AI Skills Navigator to develop necessary skills through personalized learning paths and training. Users receive personal guidance and support to achieve their career goals. Additionally, it offers access to an exclusive network of employers, facilitating new career opportunities in the IT sector. Key features include personality tests, over 22,000 online courses, tailored learning trajectories, and a CV generator.

Teachable Machine Community is an open-source repository offering example code snippets and machine learning code for Teachable Machine. Teachable Machine is a web-based tool designed to make machine learning model creation fast, easy, and accessible for everyone, including educators, artists, students, and innovators. Users can train a computer to recognize images, sounds, and poses without needing prior machine learning knowledge or coding. The repository includes a libraries section with machine learning code utilizing Tensorflow.js for in-browser model training and execution, along with API helper libraries for integrating exported models into projects. It also features a snippets section with code and instructions for using Teachable Machine models in languages like Javascript, Java, and Python.

Programming Valley (formerly AI Valley) is a comprehensive online platform dedicated to enhancing coding potential through a vast collection of free programming courses, eBooks, and insightful blog articles. It provides access to courses from world-class universities and companies, covering trending topics like Data Science, Development, and Design. Users can find courses on various programming languages, web development, cloud computing, and more. The platform also features a blog with articles on AI, backend development, Python, and data science, making it a valuable resource for continuous learning and skill development.

Distribution-is-all-you-need is an open-source GitHub repository offering a comprehensive tutorial on fundamental probability distributions crucial for deep learning researchers. The resource leverages Python libraries to illustrate various distributions, including Uniform, Bernoulli, Binomial, Categorical, Multinomial, Beta, Dirichlet, Gamma, Exponential, Gaussian, Normal, Chi-squared, and Student-t. It delves into concepts like conjugate distributions and their relevance in Bayesian probability theory, explaining how prior and posterior distributions relate. The tutorial provides code examples for each distribution, making it a practical guide for understanding the mathematical underpinnings of deep learning models.

The Arabic MMMLU Leaderborad is a platform designed for evaluating the performance of AI models specifically in Arabic language tasks. It offers a comprehensive leaderboard where users can view and compare various LLM evaluations. The tool allows for the submission of new models for evaluation, fostering a competitive environment for improving Arabic language AI. Users can customize their view by filtering and selecting specific columns to display detailed information about the models, making it easier to analyze and track progress. This resource is invaluable for researchers and developers focused on enhancing the accuracy and fluency of AI in the Arabic language.

Tapotons is a French online platform dedicated to teaching dactylography, enabling users to type efficiently and without errors. It provides comprehensive courses and varied exercises designed to help individuals master ten-finger typing, primarily for AZERTY keyboards. The platform includes features like typing speed tests (WPM) and detailed statistics to track progress. A unique "Cibler vos erreurs" (Target your errors) option uses AI to generate personalized exercises based on a user's most frequent typing mistakes, ensuring targeted improvement. Tapotons aims to boost daily productivity for students, developers, secretaries, and anyone who frequently uses a computer.

Academ-IQ is an innovative AI educational platform designed to revolutionize the learning experience for teachers, students, and parents. It aims to transform traditional education by making it more interactive, personalized, and effective. The platform is equipped with a suite of powerful tools tailored to meet the diverse needs of the educational community, fostering an engaging and fun learning environment. Academ-IQ focuses on creating a dynamic space where users can benefit from AI-driven functionalities to enhance their educational journey, ensuring a super fun and impactful learning process for everyone involved.

tf2_course is a comprehensive collection of Jupyter notebooks designed to accompany the "Deep Learning with TensorFlow 2 and Keras" training. This open-source project, available on GitHub, provides practical exercises and their corresponding solutions, making it an invaluable resource for individuals looking to deepen their understanding and skills in deep learning using TensorFlow 2 and Keras. Users can access these notebooks online via services like Colaboratory, Binder, or Deepnote for temporary environments, or install them locally for a persistent setup. The project also includes detailed installation instructions and addresses common issues like Python version compatibility and SSL errors, ensuring a smooth learning experience for students and professionals alike.

The Edu Network is a comprehensive online platform designed to assist students in their study abroad journey. It allows users to explore a wide range of study options, find courses that align with their needs and preferences, and apply to institutions worldwide. The platform also supports channel partners in recruiting students and helps institutions promote their programs. Key features include a course finder based on qualification, grading system, score, and country, as well as access to scholarships and various student services like summer school and language programs. Additionally, it offers valuable resources such as blogs with tips, guidance, and advice on education, career, and country-specific information.

LEVRA is an innovative platform designed to address the growing Human Skills Gap by providing immersive and personalized learning experiences. It focuses on developing crucial soft skills, particularly for Gen Z employees, through its PEE Model which measures and enhances productivity, engagement, and efficiency. The platform offers corporate soft skills programs that aim to deliver measurable real-world results and clear ROI for businesses. LEVRA leverages VR offerings and supporting resources to allow students and professionals to practice scenarios encountered in their professional lives, fostering empathy, communication, and teamwork. It also provides a Human Skills Framework (HSF) demo for personalized skill assessment.

aima-exercises is an interactive and collaborative open-source platform designed to digitalize the exercises from the renowned textbook "Artificial Intelligence: A Modern Approach" by Stuart J. Russell and Peter Norvig. This platform serves as the exclusive online repository for exercises for the book's fourth edition, allowing students to solve them and teachers to contribute new ones. It leverages Jekyll 3 and Ruby 2.5, providing a structured environment with dedicated folders for figures, JavaScript codes, LaTeX files, and Markdown exercises. The project aims to foster a collaborative learning environment for AI education, making complex AI concepts accessible through practical exercises.

Business Machine Learning (BML) and Business Data Science (BDS) Applications is a comprehensive, open-source resource available on GitHub, offering a curated list of practical applications across diverse business functions. This repository provides insights and examples for Accounting, Customer, Employee, Legal, Management, and Operations, making it a valuable reference for professionals and researchers. It details specific projects such as predictive modeling with GitHub logs, satellite data analysis for financial forecasting, and data imputation techniques. The resource also highlights opportunities for collaboration with Sov.ai, a company focused on integrating advanced machine learning with financial data analysis, and includes a wide range of research and project opportunities.

C-Plus-Plus is an open-source repository on GitHub providing a comprehensive collection of algorithms implemented in C++. Designed for educational purposes, it covers a wide range of topics including mathematics, machine learning, computer science, and physics. The repository features well-documented source code with detailed explanations, making it a valuable resource for both educators and students. Each algorithm implementation is atomic, utilizing STL classes without external library dependencies, which allows for in-depth study of the fundamentals. The code adheres to the C++17 standard, ensuring portability across various operating systems and embedded systems like ESP32 and ARM Cortex. It also includes self-checks for implementation correctness and modular designs for easy integration into other applications. Online documentation is generated directly from the source code, offering snippets, execution details, diagrams, and links to C++ STL library functions.

This GitHub repository, machine-learning-for-software-engineers, offers a detailed, multi-month study plan designed for software engineers looking to transition into machine learning engineering. The plan emphasizes a top-down, results-first approach, focusing on practical application and abstracting much of the underlying mathematics for beginners. It includes a curated list of video resources, books (beginner and practical), MOOCs, Kaggle competitions, and communities. The resource also provides insights into prerequisite knowledge, daily study routines, and motivation, making it a comprehensive guide for self-taught learners aiming for a career in ML.

Machine-Learning-Books-With-Python is an open-source GitHub repository designed to assist individuals in mastering machine learning concepts using Python. It offers comprehensive chapter-by-chapter notes, practical exercises, and corresponding code implementations for a variety of machine learning books. This resource is ideal for students and developers looking to deepen their understanding and practical skills in machine learning. The repository aims to provide a structured learning path, allowing users to follow along with popular textbooks and apply their knowledge directly through coding examples and solutions. It serves as a valuable companion for self-study and academic courses.

DRL is an open-source collection of educational resources focused on Deep Reinforcement Learning. Hosted on GitHub, it offers a comprehensive set of materials including detailed slides, informative lecture notes, and explanatory videos, many of which are in Chinese. The repository covers fundamental and advanced topics such as Value-Based Learning (Q-learning, Sarsa, Experience Replay), Policy-Based Learning (REINFORCE, A2C, TRPO), Actor-Critic Methods, and specialized areas like Multi-Agent Reinforcement Learning and Imitation Learning. It's an excellent resource for students and researchers looking to deepen their understanding of DRL concepts and algorithms.

mlcourse is a comprehensive collection of machine learning course materials hosted on GitHub, offering a wide range of resources for learning fundamental machine learning concepts and techniques. The repository includes detailed lectures, homework assignments with programming problems, and conceptual checks. Topics covered span supervised and unsupervised learning, model evaluation, regularization techniques like Lasso and Elastic Net, kernel methods, and Bayesian statistics. It also features discussions on advanced topics such as gradient boosting, backpropagation, and various optimization methods. The materials are suitable for students and aspiring data scientists looking to deepen their understanding of machine learning principles through practical exercises and theoretical explanations.

Notebooks On The Hub is an AI application hosted on Hugging Face, designed to provide users with a platform for accessing and exploring AI notebooks. It enables users to create and customize static web pages by directly editing HTML files within the platform. This functionality is accessible through the Files and versions tab, allowing for immediate viewing of changes on the web page. The tool is part of the Hugging Face Spaces ecosystem, indicating its focus on community and collaborative development within the AI domain. It is particularly useful for individuals looking to experiment with or share AI-related code and demonstrations in an easily accessible web environment.

This open-source curriculum, `mcp-for-beginners`, introduces the core concepts of Model Context Protocol (MCP) using practical, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust, and Python. Designed for developers, it focuses on building modular, scalable, and secure AI workflows from session setup to service orchestration. The curriculum includes hands-on labs, clear explanations, and guidance on integrating AI models with various tools and services. It covers essential background concepts like protocols and client-server relationships, security best practices, and deployment strategies, aiming to empower developers to build their own MCP servers and integrate them with popular AI platforms.

spark-py-notebooks is a comprehensive collection of IPython/Jupyter notebooks designed to educate users on various Apache Spark concepts using Python (pySpark). The tutorials range from fundamental to advanced topics, focusing on Big Data Analysis and Machine Learning. Users can learn about RDD creation, basic RDD operations like map, filter, and collect, sampling, set operations, and data aggregations. The collection also delves into working with key/value pair RDDs and introduces MLlib for basic statistics, exploratory data analysis, logistic regression, and decision trees. Additionally, it covers Spark SQL for structured processing with DataFrames and includes applications like building a movie recommendation web service.

NearGuru, a product of Vidhyalink Technologies, is a hyperlocal education platform designed to simplify how students discover quality learning guidance. It connects students with verified tutors and coaching centers in their vicinity, catering to various needs, goals, and budgets. The platform offers a wide range of courses, including boards, competitive exams, co-curricular activities, skill-based learning, and college courses. Key features include tracking learning journeys, monitoring performance, managing expenses, and access to 100% verified centers and certified tutors. NearGuru aims to empower students with quality education through expert-led learning, personalized guidance, and flexible scheduling options.

VitalMinute AI is a powerful meeting assistant designed for professionals and teams, enabling users to record any meeting and instantly receive structured minutes within 60 seconds. A key differentiator is its privacy-first approach, offering an On-Device Mode for complete data isolation where audio never leaves the phone, and designed for HIPAA compliance with strict encryption. The tool also boasts offline functionality, processing sessions locally without internet access for maximum security. It supports over 100 languages, providing perfectly structured summaries globally. VitalMinute can generate various formats, including Clinical SOAP Notes, Class Study Guides, and Meeting Highlights, making it versatile for different professional needs. It operates on a simple pay-as-you-go pricing model with credits that never expire, avoiding subscriptions or hidden fees.