Research & Education

Algorithmic Trading with Python is a GitHub repository containing the complete source code for the 2020 book by Chris Conlan. This resource is invaluable for researchers and developers interested in algorithmic trading, providing practical Python implementations of key concepts. It includes stand-alone scripts for performance metrics to evaluate trading strategies, common technical indicators implemented in pure Pandas, and methods for converting these indicators into ternary signals. The repository also features a generic grid search wrapper for numeric optimization, object-oriented building blocks for portfolio simulation, and a generic wrapper for multi-core repeated K-fold cross-validation. Additionally, it offers free-to-use simulated End-of-Day stock data and alternative data streams, making it a comprehensive toolkit for learning and applying algorithmic trading principles.

AI News for Kids, also known as 6seven, is a unique daily news platform designed specifically for children aged 8 to 15. It leverages an AI named Nova to rewrite complex science and technology news stories into language that is easily understandable and engaging for young minds. The platform aims to not only inform kids about the latest advancements but also to cultivate critical thinking skills by encouraging them to ask deeper questions about the technology shaping their future. With a strong emphasis on privacy, 6seven operates without accounts, tracking, or ads, storing all activity locally on the device. It offers interactive features like short story cards ("Sparks"), deeper article dives, and daily challenges, available in multiple languages, making it an invaluable resource for parents and educators seeking to introduce children to the world of AI and tech in a safe and accessible way.

Modern-embedded-programming-course is a comprehensive, free, and open-source companion repository for the "Modern Embedded Systems Programming" video course. This resource is designed to teach users how to program embedded microcontrollers using modern practices, covering fundamental concepts such as binary representations, flow of control, GPIO interfacing, bitwise operations, and object-oriented programming in C. The course emphasizes a deep understanding of what happens inside an embedded microcontroller, focusing on the prevalent ARM Cortex-M architecture. It includes practical, hands-on projects that can be run on various embedded development toolsets like IAR EWARM, KEIL MDK, and TI CCS, and supports hardware like the TivaC LaunchPad and STM32 NUCLEO-C031C6 boards. The course is taught by Miro Samek, an embedded software expert with over 30 years of experience.

Number Recognizer is an AI tool hosted on Hugging Face that specializes in recognizing digits from images of house or door plates. Users can easily upload a picture containing a house or door number, select a preferred model checkpoint, and the application will quickly process the image to read the displayed digits. The tool then returns the recognized number as plain text, along with a status indicating the recognition outcome. This application is useful for tasks requiring automated number extraction from real-world images, offering a straightforward solution for digit recognition.

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.

awesome-embedded-rust is a comprehensive, curated list of resources specifically designed for embedded and low-level development using the Rust programming language. This project is maintained by the Rust Embedded Resources team and serves as a central hub for developers. It features an extensive collection of useful crates, including peripheral access crates for various microcontrollers like Microchip, Nordic, NXP, Raspberry Pi, and STMicroelectronics, as well as HAL implementation and architecture support crates. The list also provides information on real-time operating systems (RTOS) like Drone OS, FreeRTOS.rs, and Tock, alongside a wide array of development tools such as `svd2rust` for generating Rust structs from SVD files, `cargo-flash` for binary downloads, and the `Knurling Tools` suite for building, debugging, and testing embedded Rust systems. Additionally, it offers a rich selection of free and paid books, blogs, and training materials, covering topics from introductory embedded Rust to advanced DSP on Cortex-M microcontrollers.

Embodied_AI_Paper_List is an open-source repository maintained by HCPLab at SYSU and Pengcheng Laboratory, offering a comprehensive collection of papers and resources focused on Embodied AI. This resource is designed to serve as a foundational reference for researchers and practitioners, bridging the gap between cyberspace and the physical world through intelligent systems. The repository covers key areas such as embodied perception, interaction, agent development, and sim-to-real adaptation, including state-of-the-art methods, essential paradigms, and comprehensive datasets. It also explores the role of Multi-modal Large Models (MLMs) and World Models (WMs) in facilitating interactions for embodied agents, highlighting their significance in both digital and physical environments. The list is regularly updated with the latest advancements and includes a survey paper accepted by IEEE/ASME Transactions on Mechatronics.

AiiDA (Automated Interactive Infrastructure and Database for computational science) is a powerful open-source workflow manager designed for computational science. It emphasizes robust data provenance tracking, high performance, and extensibility, allowing researchers to manage complex computational workflows efficiently. Key features include the ability to write complex, auto-documenting workflows in Python, an event-based workflow engine supporting thousands of processes per hour with full checkpointing, and automatic tracking of inputs, outputs, and metadata for full reproducibility. AiiDA also offers a flexible HPC interface compatible with various schedulers like SLURM and PBS Pro, a plugin interface for extending functionality with new simulation codes and data types, and tools for open science, enabling the export and sharing of provenance graphs.

Video Analyst is an open-source project from Megvii Research that provides a collection of fundamental algorithms for video understanding tasks. It specifically focuses on Single Object Tracking (SOT) and Video Object Segmentation (VOS). The tool includes implementations like SiamFC++ for robust and accurate visual tracking and a State-Aware Tracker for real-time video object segmentation. It is designed for researchers and developers, offering detailed documentation for setup, model usage, training, and testing. The repository structure is well-organized, with separate modules for experiments, data handling, model building, and pipeline construction, making it a valuable resource for those working on advanced computer vision and video analysis projects.

Labnote provides a comprehensive research note and data management solution tailored for BT (Bio Tech) and NT (Nano Tech) researchers and organizations. The platform aims to enhance research efficiency by allowing researchers to focus on the core aspects of their work. It features Labnote Scholar, an AI research assistant that helps users maximize their research data, and Labnote Preclindoc, a specialized tool for managing all stages of non-clinical research, including automated report generation. Labnote supports both individual researchers and small to enterprise-level research institutions with tools for data management, research collaboration, and AI-driven insights.

Attendance-Management-system-using-face-recognition is an open-source project built with Python and OpenCV, designed to automate attendance tracking through facial recognition. Users can register new students by taking multiple images, which are then used to train the system's facial recognition model. Once trained, the system can automatically mark attendance for registered individuals by detecting their faces. It generates CSV files for attendance records, organized by subject, and allows users to view attendance data in a tabular format. This system requires users to set up their environment and adjust file paths, making it a technical solution for automated attendance.

3D-Occupancy-Perception is a comprehensive research resource dedicated to the field of 3D dense perception for autonomous driving. This active repository provides a systematic survey of the latest advancements, encompassing LiDAR-Centric, Vision-Centric, and Multi-Modal Occupancy Perception. It delves into core methodological issues, including network pipelines, multi-source information fusion, and effective network training. The resource also offers evaluations, detailed performance comparisons, and discussions on current limitations and future research directions. It aims to inspire further research and development in the autonomous driving community by curating and highlighting significant works in the domain.

architecture.of.internet-product is a comprehensive GitHub repository dedicated to cataloging the technical architectures of leading internet companies. It features detailed insights into the system designs of giants such as WeChat, Taobao, Google, Facebook, Amazon, and eBay, alongside Chinese tech firms like Tencent, Alibaba, Baidu, and Meituan-Dianping. The repository is open-source and actively welcomes contributions, making it a dynamic and evolving resource. It's structured with directories for specific companies and thematic categories covering distributed systems, databases, AI/ML, and more, providing a rich learning environment for anyone interested in internet product architecture.

Codeglf is an online platform dedicated to "code golf" challenges, specifically focusing on Python. It provides a competitive environment where developers can solve programming puzzles with the goal of writing the most concise code possible. The platform emphasizes a "local-first" approach, suggesting robust offline capabilities or a focus on client-side processing for an efficient user experience. Codeglf is an excellent resource for Python developers looking to hone their problem-solving skills, learn new language features, and engage in friendly competition. It fosters a deeper understanding of Python's syntax and capabilities, pushing programmers to write elegant and efficient solutions.

The website for Knowz (knowz.ai) currently displays a message indicating that the domain may be for sale, with contact information provided for inquiries. There is no active content related to an AI tool, its features, or its capabilities. Therefore, based on the live website content, Knowz does not appear to be an operational AI-powered search tool as described in the stale information. The domain is essentially a placeholder for a potential sale, rather than an active service.

Autoti, operating under the brand EE88, is an online gambling platform based in the Philippines, offering a wide array of casino games and sports betting options. Users can engage in popular games such as Bầu Cua, Tài Xỉu, Xóc Đĩa, as well as online slots with high jackpot rates. The platform also features extensive sports betting markets and lottery products. EE88 emphasizes a secure and fair gaming environment, utilizing modern technology to protect user information and prevent fraud. It provides customer support via Live Chat, Telegram, Facebook, and Hotline, and offers a mobile application for both iOS and Android devices, ensuring a seamless betting experience on the go. The platform also boasts numerous promotions and a lucrative affiliate program.

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.

This research tool presents a groundbreaking demonstration of how evolved cellular systems can autonomously navigate complex mazes. Crucially, this navigation occurs without any prior training or explicit fitness functions, highlighting an emergent form of intelligence in biological computation. The tool illustrates how fundamental cellular behaviors, driven by evolutionary processes, can lead to sophisticated problem-solving capabilities. This work offers significant insights into the potential for biological systems to perform complex tasks through self-organization and adaptation, challenging traditional views on engineered intelligence and providing a new perspective on the origins of problem-solving in living systems.

awesome-human-pose-estimation is an open-source GitHub repository serving as a comprehensive collection of resources focused on human pose-related problems. It primarily concentrates on human pose estimation but also covers areas such as mesh representation, flow calculation, (inverse) kinematics, affordance, robotics, and sequence learning. The repository is continuously updated with the latest papers and resources, making it a valuable asset for researchers and students in the field. It provides an organized list of academic papers, categorized by topics like 2D and 3D pose estimation, human mesh, and real-time pose estimation, along with links to popular implementations in PyTorch, TensorFlow, and Torch.

Shadowsocks-Tutorial is a comprehensive, easy-to-follow guide designed for beginners looking to use Shadowsocks to bypass internet restrictions. The resource provides step-by-step instructions for setting up a Shadowsocks server on a VPS, covering everything from purchasing a VPS to installing the Shadowsocks server software. It also includes tutorials for accelerating Shadowsocks with kcptun and configuring client applications across various operating systems like Windows, macOS, Android, and iOS. The guide emphasizes a user-friendly approach, aiming to simplify the process for those who want to access a free internet without needing deep technical understanding. It also addresses common issues and provides troubleshooting tips, making it a practical resource for anyone seeking to set up their own secure internet access.

ArXiv Daily Papers provides a user-friendly web interface for browsing research papers published on arXiv. Users can efficiently explore daily paper summaries, utilizing powerful search functionalities to find specific research by title or abstract. The tool also offers robust filtering options, allowing users to narrow down results by various categories and tags, making it easier to discover relevant academic content. Additionally, the platform supports exporting the list of papers, which is beneficial for researchers and students managing their literature reviews. Its responsive design and pagination ensure a smooth browsing experience across different devices.

ToTo: Topic Today is a free mobile application designed to enhance language learning through daily, short stories. It provides content tailored to various CEFR levels (A1-C2) in languages such as Spanish, Dutch, Italian, Romanian, Swedish, and English. Each story takes approximately 3-5 minutes to read, making it easy to integrate into a daily routine. Unlike gamified apps, ToTo focuses on extensive reading, an evidence-based method proven to improve vocabulary, reading comprehension, and overall language proficiency by exposing learners to meaningful content at their appropriate level. The app is currently available for Android, with an iPhone version planned for future release.

Practicing-Federated-Learning is an open-source GitHub repository offering practical code examples for federated learning. It serves as a companion to the book "Practicing Federated Learning," providing hands-on implementations for various chapters. The repository covers topics such as horizontal and vertical federated learning with Python and FATE, personalized recommendations, computer vision, and advanced concepts like attack and defense mechanisms, differential privacy, and homomorphic encryption. It aims to help users understand and apply federated learning to address data silos and user privacy concerns, making it a valuable resource for both academics and industry professionals.

SARDet_100K is a comprehensive dataset specifically designed for advancing research and development in synthetic aperture radar (SAR) object detection. This large-scale dataset facilitates the training and evaluation of models for multi-class rotated object detection tasks, a critical capability in various applications. Accepted at NeurIPS 2024 as a spotlight, SARDet_100K offers a robust foundation for researchers and developers working on complex SAR data analysis. Its focus on rotated object detection addresses a common challenge in SAR imagery, where objects can appear at various orientations, making it a valuable resource for developing more accurate and resilient detection algorithms.