Coding & Development

This repository offers a real-time 3D multi-person pose estimation demo built with PyTorch. It leverages the Lightweight OpenPose and Single-Shot Multi-Person 3D Pose Estimation From Monocular RGB papers to detect and track 2D and 3D coordinates of up to 18 keypoints, including ears, eyes, nose, neck, shoulders, elbows, wrists, hips, knees, and ankles. The model was trained on MS COCO and CMU Panoptic datasets, achieving 100 mm MPJPE on the CMU Panoptic subset. For enhanced performance, it supports Intel OpenVINO for fast inference on CPUs and NVIDIA TensorRT for accelerated inference on Jetson devices, offering significant speedups.

Buildroot is an open-source tool designed to make embedded Linux development easy by automating the process of generating embedded Linux systems through cross-compilation. It allows developers to select target architectures and desired packages, then compiles everything needed to create a custom Linux distribution. The tool outputs the kernel, bootloader, and root filesystem, making it straightforward to deploy on embedded devices. Buildroot is highly efficient and user-friendly, providing a basic configuration for numerous boards and extensive documentation. It supports a wide range of packages and configurations, enabling developers to tailor their embedded systems precisely to their needs without requiring root privileges for building or running.

Cline 3.6 is an AI-powered code editor designed to boost developer productivity. It provides free options for leveraging a variety of AI models, serving as a strong alternative to other AI code editors. The tool seamlessly integrates artificial intelligence into the coding process, offering assistance with key development tasks such as generating code, completing code snippets, and debugging. This focus on AI integration aims to streamline workflows and improve efficiency for developers.

simple-HRNet is an unofficial yet fully compatible implementation of the Deep High-Resolution Representation Learning for Human Pose Estimation paper, built with PyTorch. This tool simplifies the process of human pose estimation, offering compatibility with official pre-trained weights and delivering results consistent with the original implementation. It supports both Windows and Linux environments and includes features like multi-GPU inference, options for retrieving YOLO bounding boxes and HRNet heatmaps, and multi-person support with YOLOv3, YOLOv3-tiny, or YOLOv5. The repository also provides a live demo, scripts for training and testing on datasets like COCO, and support for TensorRT, making it a versatile solution for developers and researchers in computer vision.

futu_algo is an open-source algorithmic trading solution built on FutuOpenD and FutuOpenAPI, designed for Python users. It supports Hong Kong stock market users of FutuNiuNiu and FutuMooMoo, with plans for broader market support. Key features include automatic downloading of historical K-Line data (up to 1M level for 2 years, or 1D for 10 years) into CSV and SQLite for backtesting. Users can backtest their own trading strategies with summarized reports and visualizations using Pyfolio. The tool offers real-time, low-latency algorithmic trading, allowing users to apply custom strategies to their stock pool. An advanced stock screener helps identify high-quality stocks based on user-defined strategies, with email notification capabilities. It also provides a trading strategy editor with common strategy templates like MACD and KDJ-based rules.

Jsonformer is an AI tool specifically designed to automate various tasks, with a strong focus on content generation and educational applications. It aims to simplify complex processes by leveraging artificial intelligence. The tool is accessible to a broad audience, as it is available for free and deployed on the HuggingFace platform, making it easy to access and utilize for different projects.

IDEFICS3 ROCO is an AI chatbot tool hosted on Hugging Face, designed to support conversational AI research and chatbot development. It provides a platform for users to engage in language model experimentation and is suitable for educational purposes. The tool aims to make advanced AI chatbot capabilities accessible for exploration and learning.

Handwritten Digit Classifier is an interactive artificial intelligence demonstration focused on classifying handwritten digits. This tool is hosted on Hugging Face Spaces, providing an accessible platform for users. It is specifically designed to support machine learning education and facilitate experimentation with digit classification models. The Handwritten Digit Classifier is offered completely free of charge, making it an ideal resource for students, researchers, and enthusiasts looking to explore AI capabilities in a practical setting.

6DRepNet is the official Pytorch implementation of a novel method for unconstrained end-to-end head pose estimation. It addresses the challenge of ambiguous rotation labels by introducing a continuous 6D rotation matrix representation for robust direct regression, enabling the learning of full rotation appearance. Unlike previous approaches that restrict pose prediction to narrow angles, 6DRepNet achieves satisfactory results across a full range of head orientations. The tool also incorporates a geodesic distance-based loss function to penalize the network based on manifold geometry. Experiments on public datasets like AFLW2000 and BIWI demonstrate that 6DRepNet significantly surpasses other state-of-the-art methods by up to 20% in accuracy.

Lucid AI: Dream Meaning& Tarot is a mobile application designed to provide users with insights into their subconscious mind and personal growth. The app leverages AI to offer dream interpretation, helping users understand the deeper meanings behind their dreams. Beyond dream analysis, it provides spiritual guidance through daily horoscopes and tarot readings, aiming to offer perspectives on life's challenges and opportunities. It also includes features for maintaining a dream journal, allowing users to track and reflect on their dream experiences over time. Additionally, the app incorporates tools focused on enhancing lucid dreaming capabilities and improving overall sleep quality, making it a comprehensive platform for self-discovery and mental well-being.

frozen is a robust JSON parser and generator specifically designed for C/C++ applications, emphasizing efficiency and a minimal footprint. It offers a familiar scanf/printf-like interface for easy integration and use, making it particularly suitable for embedded systems where resources are often constrained. The tool is ISO C and ISO C++ compliant, ensuring broad compatibility. Key functionalities include `json_scanf()` for parsing JSON strings into C/C++ variables, `json_printf()` for generating JSON output, and `json_setf()` for modifying existing JSON strings. It also supports reading and writing JSON to files, and includes built-in base64 encoding/decoding. With 100% test coverage and no external dependencies, frozen provides a reliable and lightweight solution for JSON manipulation in performance-critical environments.

MobileFace is an open-source project providing a comprehensive face recognition solution optimized for mobile devices. It encompasses a range of functionalities including real-time face detection, identification, landmark detection, pose estimation, alignment, and attribute analysis. The solution leverages receptive field awareness for natural anchor point detection, contributing to its fast performance. It supports various models like MobileFace_Identification_V3, which boasts impressive speed and accuracy. The project provides examples for integrating its features using MXNet and GluonCV, making it accessible for developers looking to implement advanced facial processing on mobile platforms. Additionally, it includes tools for visualization, performance benchmarking, and model pruning.

Grayskull is a minimalist, dependency-free computer vision library written in C, specifically engineered for microcontrollers and other resource-constrained devices like drones and robotics. It focuses on grayscale image processing, providing a suite of modern and practical algorithms that fit within a few kilobytes of code. Key features include image operations such as copy, crop, resize (bilinear), and downsample, along with filtering capabilities like blur, Sobel edges, and various thresholding methods (global, Otsu, adaptive). The library also supports morphology operations (erosion, dilation), geometry functions like connected components and perspective warp, and advanced features like FAST/ORB keypoints for object tracking and LBP cascades for face and vehicle detection. Its single-header design, integer-based operations, and pure C99 implementation ensure no dynamic memory allocation or C++ dependencies, making it ideal for embedded vision projects.

CefSharp is a powerful open-source library that provides .NET bindings for the Chromium Embedded Framework (CEF). This allows developers to seamlessly embed a full-featured Chromium web browser control directly into their Windows Presentation Foundation (WPF) and Windows Forms applications. The library is primarily written in C# with a portion of the bindings in C++/CLI, making it accessible from C#, VB, or any other CLR language. CefSharp is BSD licensed, ensuring it can be used freely in both proprietary and open-source projects. It offers various NuGet packages for different application types, including WinForms, WPF, and OffScreen, along with detailed examples and documentation to assist with integration and feature utilization.

LuaRadio is a lightweight and embeddable flow graph signal processing framework specifically designed for software-defined radio (SDR). Built on LuaJIT, it offers a small binary footprint and no external hard dependencies, making it highly portable. The framework provides a comprehensive suite of source, sink, and processing blocks, along with a simple API for defining and running flow graphs, creating custom blocks, and managing data types. It's ideal for rapidly prototyping software radios, developing modulation/demodulation utilities, and conducting signal processing experiments. LuaRadio can also be embedded into existing radio applications, serving as a user-scriptable engine for advanced signal processing tasks. It supports computational acceleration through LuaJIT's FFI to wrap external libraries like VOLK, liquid-dsp, and others, ensuring efficient performance.

VMamba is an open-source visual state space model that transplants the Mamba state-space language model into a vision backbone, offering linear time complexity for computer vision tasks. At its core, VMamba utilizes Visual State-Space (VSS) blocks with a 2D Selective Scan (SS2D) module, which efficiently gathers contextual information from 2D vision data by traversing along four scanning routes. This design helps bridge the gap between 1D selective scan and non-sequential 2D data. The tool provides a family of VMamba architectures, accelerated through architectural and implementation enhancements. It demonstrates promising performance across diverse visual perception tasks such as ImageNet-1K classification, COCO object detection, and ADE20K semantic segmentation, showcasing its efficiency in input scaling compared to existing benchmark models. VMamba is designed for researchers and developers in the AI and computer vision fields.

BioMedIA is an AI tool hosted on Hugging Face Spaces, designed to facilitate the exploration of AI applications within the biomedical field. While the live website indicates a build error, its intended purpose is to serve as a platform for understanding how AI can be applied in biomedical research and educational contexts. The tool is available for free, making it accessible for a wide range of users interested in the intersection of AI and biomedicine. It is suitable for researchers, students, and healthcare professionals who wish to delve into the capabilities and potential of AI in this specialized domain.

Jupyter Agent is an AI-powered tool specifically developed for task automation. Its primary applications include content generation, where it can streamline the creation of various types of content, and educational applications, suggesting its utility in learning environments or for creating educational materials. The tool is accessible at no cost, making it a free resource for users. It is hosted and deployed on the HuggingFace platform, indicating its potential integration with other AI models and datasets available there.

AlphaPose is a robust, open-source system designed for real-time and accurate full-body multi-person pose estimation and tracking. It stands out as one of the first open-source systems to achieve high mAP scores on COCO and MPII datasets. The tool also incorporates an efficient online pose tracker called Pose Flow, which excels in matching poses across frames. Key features include support for COCO 17 keypoints, Halpe 26 and 136 keypoints with tracking, and SMPL integration for 3D pose and shape estimation. AlphaPose is compatible with both Linux and Windows, and a Jittor version is available, offering significant speed improvements during the training stage. It is ideal for researchers and developers working on computer vision projects requiring precise human pose analysis.

Energy is a robust GUI framework developed in Go, leveraging LCL and CEF (Chromium Embedded Framework) to facilitate the creation of cross-platform desktop applications. It supports Windows, macOS, and Linux, allowing developers to build native applications using familiar web technologies like HTML, CSS, and JavaScript. The framework offers a rich CEF API and LCL system native widgets, ensuring a simple development environment with fast compilation speeds. Developers can integrate mainstream front-end frameworks such as Vue, React, or Angular. Energy also features high-performance event-driven communication between Go and Web components via IPC, and flexible resource loading from local files or embedded resources.

nvim-luapad is an interactive real-time scratchpad designed for Neovim's embedded Lua engine, enabling developers to quickly test and debug Lua code directly within their editor. It evaluates code in real-time, displaying output as virtual text where it was called. The tool extends the native Lua command with deep function completion, streamlining the development of Neovim plugins. While powerful for small code chunks, users should exercise caution as it evaluates every typed character, which can lead to unintended side effects with system calls or UI manipulations. It offers configurable options like error indicators, preview windows, and evaluation triggers, making it a flexible tool for Neovim Lua development.

flutter-elinux is a non-official extension to the Flutter SDK, specifically designed to build and debug Flutter applications for Embedded Linux (eLinux) devices. It leverages flutter-embedded-linux, which serves as the Flutter embedder for eLinux, ensuring compatibility and optimized performance. Key features include lightweight operation compared to standard Flutter desktop for Linux (as it doesn't rely on X11 and GTK), support for arm64/x64 devices, and minimal dependent libraries. It facilitates embedded software development with cross-building capabilities from x64 to arm64, and allows installation, uninstallation, and debugging on remote target devices. The tool also supports various display backends like Wayland, DRM, GBM, EGLStream for NVIDIA, and X11, along with comprehensive input support for keyboard, mouse, and touch. API compatibility with Flutter desktop for Windows and GLFW ensures a familiar development experience.

TorchRec is a PyTorch domain library specifically designed for large-scale recommendation systems (RecSys). It provides essential sparsity and parallelism primitives, enabling the training and inference of models with extensive embedding tables sharded across multiple GPUs. This library is crucial for Meta's production RecSys models and has been used to accelerate advancements in the field, including the latest version of Meta's DLRM. Key features include various sharding strategies, an automatic sharding plan planner, pipelined training for performance, optimized kernels powered by FBGEMM, and quantization support. It also offers common RecSys modules and datasets, along with end-to-end training examples.

statik is a specialized tool designed for Go developers, facilitating the embedding of static files directly into a Go binary. This capability is particularly useful for applications that include web components, as it allows for the distribution of a single, self-contained executable. By integrating static assets like HTML, CSS, JavaScript, and images into the binary, developers can simplify deployment and ensure all necessary files are present. The embedded files can then be served efficiently via an http.FileSystem, streamlining the development and distribution workflow for Go-based projects with web interfaces. This approach eliminates the need for separate asset management during deployment.