Research & Education

YOLO_Object_Detection is an open-source code repository associated with a video tutorial by Siraj Raval, demonstrating real-time object detection and classification using the YOLO (You Only Look Once) algorithm. The repository provides the necessary code and instructions for setting up, configuring, and running YOLO models. Users can perform object detection on images and video files, train new models with custom datasets, and fine-tune existing models. It supports various configurations, including tiny YOLO, and allows for integration into other Python applications. The tool also offers options for saving trained graphs to protobuf files for deployment on mobile devices, making it a versatile resource for developers and researchers in computer vision.

DeepRL-Agents is an open-source repository offering a comprehensive collection of Deep Reinforcement Learning algorithms, all implemented using Tensorflow. This resource is ideal for individuals looking to understand and apply various RL techniques, from foundational Q-learning and policy gradient methods to more advanced concepts like Double-Dueling-DQN, Deep Recurrent Q-Networks, and Asynchronous Advantage Actor-Critic (A3C). The repository includes iPython notebooks for each algorithm, often accompanied by tutorial series published on Medium, making it a valuable educational and practical tool for learning about reinforcement learning.

DeepRL-TensorFlow2 is a GitHub repository offering straightforward implementations of a wide array of Deep Reinforcement Learning (DRL) algorithms, all built with TensorFlow2. The project prioritizes code clarity, making it an excellent resource for students and researchers delving into DRL. Each algorithm is contained within a single Python script, simplifying the learning process by eliminating the need to navigate multiple files. The repository is actively maintained and continuously updated with new DRL algorithms. It currently includes implementations for DQN, DRQN, DoubleDQN, DuelingDQN, A2C, A3C, PPO, and DDPG, with TRPO, TD3, and SAC noted as planned additions. The project also provides code snippets illustrating the core ideas behind each algorithm, such as using target networks and replay buffers in DQN, or advantage functions in A2C.

Deep-Reinforcement-Learning-Hands-On-Second-Edition is an open-source educational resource published by Packt, designed to help users learn and apply deep reinforcement learning techniques. The GitHub repository provides comprehensive code examples and materials, making it a practical companion for the associated book. It is actively maintained to ensure dependency versions are kept up-to-date, with specific code branches available for major PyTorch versions (e.g., 1.3 and 1.7) to accommodate compatibility needs. The resource includes detailed instructions for setting up a virtual environment using Anaconda, installing PyTorch, and managing other dependencies, making it accessible for hands-on experimentation and learning.

deep-rl-class is the official GitHub repository for the Hugging Face Deep Reinforcement Learning Course. This open-source resource offers comprehensive materials, including mdx files and Jupyter notebooks, designed to teach both the theoretical and practical aspects of Deep Reinforcement Learning. While the course is currently in a low-maintenance state, it remains an excellent educational resource. Users can access the full syllabus and course content, though some features like Unit 7 (AI vs AI) and the Leaderboard are non-functional. The repository encourages community engagement for problem-solving in hands-on exercises.

Reinforcement-Learning-2nd-Edition-by-Sutton-Exercise-Solutions is an open-source project offering solutions to the exercises found in the second edition of the seminal book 'Reinforcement Learning, An Introduction' by Richard S. Sutton and Andrew G. Barto. This resource is particularly useful for self-learners and students who lack official solution manuals or proper learning environments. The project covers mathematical proofs and some challenging coding problems, with contributions from various collaborators. It aims to provide a comprehensive guide for understanding the theoretical backbone of reinforcement learning, acknowledging that solutions may contain errors and encouraging community contributions for corrections and new solutions.

BrightGrade is a free online grade calculator designed for students to manage their academic performance with ease. It offers a suite of calculators including a final grade calculator to determine the score needed on an upcoming exam, a weighted grade calculator for courses with varying assignment weights, and a GPA calculator for semester and cumulative averages. The tool supports multiple grading scales (4.0, 5.0, plus/minus) and provides instant results. BrightGrade is 100% free, requires no login, and ensures privacy by processing all calculations directly in the user's browser, meaning no data is stored or shared. Its mobile-friendly interface and accurate calculations make it a reliable resource for academic planning.

ObjectDetectionImbalance is a comprehensive repository dedicated to cataloging research papers that address imbalance problems within the field of object detection. This resource is meticulously maintained to provide an up-to-date list of relevant studies, organized according to a specific taxonomy outlined in a key review paper. Researchers and practitioners in computer vision can leverage this repository to quickly find papers on topics such as class imbalance (foreground-background, foreground-foreground), scale imbalance (object/box-level, feature-level), spatial imbalance (regression loss, IoU distribution, object location), and objective imbalance. It serves as a valuable reference for understanding and tackling common challenges in object detection research.

OpenAI-cookbook is an open-source repository offering a collection of examples and guides designed to help developers effectively use the OpenAI API. It provides practical code samples, primarily in Python, along with clear instructions for accomplishing common tasks and integrating OpenAI's powerful AI models into various applications. The cookbook serves as a valuable resource for understanding API functionalities, exploring different use cases, and accelerating development with OpenAI's technologies. Users need an OpenAI account and API key to run the examples, which can be set via an environment variable or an .env file.

Blue Canoe is an AI-driven mobile application designed to help individuals learn, practice, and master English with confidence. It utilizes a scientifically-backed approach and innovative AI, including the revolutionary Color Vowel® system, to provide a complete English learning experience. Users can build vocabulary, sharpen listening and reading comprehension, and speak more clearly through daily lessons and engaging activities. The app offers features like Wordsmith for personalized pronunciation practice, Interview Prep for job seekers, and tracks user progress. It is recommended by ESL teachers and aims to help users be understood in just 10 minutes a day.

project_modern_ui_ux_gpt3 is a GitHub repository offering a comprehensive code base for a video tutorial focused on building modern UI/UX websites. This resource is designed to help developers, particularly those new to web development, master the creation of visually appealing and responsive user interfaces. The tutorial covers essential topics such as React functional components and reusability, effective React file and folder structures, and fundamental CSS properties including Flexbox and Grid. It also delves into the CSS BEM Model, creating soft animations and complex gradients, and implementing perfectly placed media queries for satisfactory responsiveness across various devices. Ultimately, users will learn how to deploy their websites to fast servers with custom domain names, making it an all-encompassing guide for aspiring web developers.

Onda Sfasata is a free and intuitive online tool designed to help users build their Italian vocabulary effectively. It leverages the spaced repetition method, a proven technique for efficient language acquisition, to help users memorize new words and phrases. The platform is accessible without any sign-up process, making it quick and easy for anyone to start learning immediately. It focuses specifically on Italian, providing a dedicated resource for those looking to improve their proficiency in the language. The tool aims to make vocabulary building straightforward and accessible, removing common barriers to entry like account creation or subscription fees.

Market Price Simulator is a browser-based trading sandbox designed for exploring financial market dynamics. Users can create multiple traders, place buy and sell orders, and observe how trades are automatically matched and prices evolve in real time. This simulator provides a visible order book and a history of trades, making it an ideal platform for understanding price formation, supply and demand, and order volume without financial risk. It's a valuable resource for students, researchers, and anyone interested in the mechanics of financial markets.

Binary Code Converter is a versatile, free online tool designed for instant conversion between binary, decimal, hexadecimal, and text formats. It fully supports UTF-8 encoding, allowing for accurate translation of emojis, accented characters, and non-English scripts. The platform acts as a bridge between human-readable input and machine-level data, enabling users to encode and decode information without manual processing of long binary strings. Beyond basic binary-to-text, it handles all combinations of binary, decimal, octal, and hexadecimal conversions. The tool is mobile-friendly, ad-free, and requires no sign-up or downloads, making it accessible for students, developers, and anyone interested in understanding how computers represent data. It also includes a comprehensive reference chart and additional binary-related tools and games.

David-Silver-Reinforcement-learning is an open-source repository offering comprehensive notes and practical implementations for David Silver's renowned Reinforcement Learning course. It covers a wide range of topics from Week 1 (Introduction to RL) to Week 10 (Case Study: RL in Classic Games), with each week's content including slides and video links. The repository features algorithm implementations using Keras (with TensorFlow backend) and OpenAI's Gym framework, making it a valuable resource for students and researchers. It supports Python, TensorFlow, Keras, Gym, and Numpy, and encourages community contributions for expanding implementations to other frameworks like PyTorch or Caffe.

OccNet-Course offers the first comprehensive course in China on Occupancy Network algorithms, covering everything from BEV (Bird's Eye View) to Occupancy Network principles and engineering practices, including edge-side deployment. This open-source course is designed for autonomous driving enthusiasts and professionals, providing in-depth knowledge on surrounding semantic occupancy perception. It includes detailed documentation, PowerPoint presentations, and source code, making it a valuable resource for both theoretical understanding and practical application. The curriculum covers various aspects such as BEV perception, different Occupancy Network approaches (pure vision, point cloud, multi-modal fusion), important datasets, benchmarks, and deployment strategies for NVIDIA and Horizon J5 chips. The course also features practical coding exercises and a final project to solidify learning.

Hunyuan3D Part is an AI tool developed by Tencent, available through Hugging Face Spaces, designed for advanced 3D model analysis. Users can upload 3D models in common formats such as GLB, PLY, or OBJ. The tool's primary function is to segment these models into their constituent parts, providing a detailed breakdown of the object's composition. Beyond simple segmentation, it generates comprehensive part compositions and offers both segmented and exploded views of the model, which can be invaluable for design, engineering, or educational purposes. The platform currently appears to be experiencing a runtime error, preventing its full functionality from being accessed.

ROS-Academy-for-Beginners is an open-source collection of code examples specifically designed for the 'Robot Operating System Introduction' course on Chinese University MOOC. This repository offers a comprehensive set of ROS packages, including robot simulation programs, various communication examples (topic, service, action, param), and demonstrations of advanced functionalities like navigation and Simultaneous Localization and Mapping (SLAM). It supports both C++ and Python implementations for many examples, making it versatile for different programming preferences. The project is actively maintained and updated, providing a valuable resource for students and developers looking to learn and implement ROS concepts. It also includes instructions for downloading, compiling, and running the examples, with specific recommendations for the operating environment.

Mental Math Practice Trainer is a free online platform designed to help students from class 1 to class 5 master mental math. It offers structured, timed practice for addition, subtraction, multiplication, and division, with instant feedback to build fluency and confidence. The tool focuses on accuracy before speed, allowing users to choose operations and digit levels appropriate for their grade. It features practice plans like 'Daily 10' for beginners, 'Speed 20' for intermediate learners, and 'Fluency 50' for advanced students, making it suitable for daily drills and building mental computation skills without paper or calculators. The platform also provides tips and tricks for faster mental math by operation.

Biology AI: Homework Helper is a mobile application developed by Artmvstd Mobile Studio, designed to simplify complex biology topics and provide instant assistance with homework and exam preparation. The app aims to help users learn faster by generating answers to biology questions, summarizing notes, and creating study tools like quizzes and flashcards. It acts as a personalized AI tutor, offering comprehensive support for various biology learning needs. While the specific features are not detailed on the Artmvstd website, their portfolio focuses on beautifully designed mobile applications for iOS and Android, suggesting a user-friendly interface for this educational tool. The app is likely available on both Apple App Store and Google Play Store, as indicated by Artmvstd's developer links.

This open-source book, "Mathematical Foundations of Reinforcement Learning," offers a mathematically rigorous yet accessible introduction to the core concepts, problems, and algorithms in reinforcement learning. Designed for senior undergraduate students, graduate students, researchers, and practitioners, it requires no prior reinforcement learning background but assumes knowledge of probability theory and linear algebra. The book carefully controls mathematical depth, providing illustrative examples based on a grid world task to clarify complex ideas. It is coherently organized, building each chapter on the preceding one, and is complemented by lecture slides and a highly-viewed video series available in both Chinese and English.

Quiz Maker is a free AI tool hosted on Hugging Face that allows users to quickly create quizzes. Users can specify a topic, difficulty level, and tone, and the tool will generate a quiz with 10 questions and answers. Each question features interactive radio buttons for selection, and a score is provided upon completion. This tool is ideal for educators, students, or anyone needing to generate quick assessments or study aids without extensive manual effort. Its straightforward interface makes quiz creation accessible and efficient.

FREE Grade & GPA Calculator is a comprehensive online tool designed for teachers and students to quickly and accurately calculate grades. It automates the grading process, providing instant percentage scores, letter grades, and visual grade distributions. The calculator supports advanced features like half-point and quarter-point scoring for partial credit, customizable grading scales to match institutional policies, and the ability to include bonus points. Users can export results as PDF reports or CSV files for easy record-keeping. The tool operates entirely in the browser, ensuring data privacy as no information is sent to external servers, and requires no sign-up, making it a fast, free, and fully-featured solution for academic grading.

Practice Times Tables With AI offers a comprehensive learning hub focused on mastering subtraction. It provides an interactive subtraction table where users can click cells to see equations and hear pronunciations, making it ideal for auditory and hands-on learners. The platform also offers a wealth of free printable resources, including colored subtraction charts (1-12) with answers, landscape-oriented subtraction worksheets (1-12) with missing answers, and various printable subtraction table and worksheet images. These materials are designed for students, parents, and educators to enhance subtraction skills through engaging visuals and user-friendly tools, supporting both home and classroom learning environments.