Coding & Development

CookieBlocker is a Chrome extension specifically designed to enhance user privacy by blocking cookies. It is effective on over 95% of websites, providing a robust solution for managing online tracking. The tool simplifies the process of blocking unwanted cookies with a straightforward one-click interface. Users can initially experience the tool with a free block allowance, after which a lifetime access option is available via a one-time payment.

WSL-Hello-sudo is a Linux PAM module and companion Windows CLI application designed to integrate Windows Hello's biometric authentication with the sudo command on Windows Subsystem for Linux (WSL). This tool allows users to authenticate sudo operations using face recognition, fingerprint authentication, or a machine-local PIN, enhancing security and convenience within WSL environments. It is compatible with both WSL 1 and WSL 2. The PAM module and Windows CLI app are both written in Rust, ensuring a robust and efficient solution. The installation process is straightforward, involving downloading a release package and running an install script, which sets up the necessary PAM configurations.

ngx-php is an extension module for the high-performance Nginx web server, designed to embed PHP7 or PHP8 scripting language directly into Nginx configurations. It enables the processing of Nginx locations and variables using PHP scripts, drawing inspiration from ngx_lua to deliver non-blocking web services. This approach offers significant performance benefits over traditional PHP deployment methods like php-cgi, mod_php, php-fpm, and HHVM. ngx-php provides a robust solution for developers seeking to optimize their web server's performance by tightly integrating PHP execution within the Nginx environment. It supports various Nginx phases, including rewrite, access, content, and logging, and offers a comprehensive Nginx API for PHP interactions.

Embassy is a modern, open-source framework designed for embedded applications, utilizing the Rust programming language and its asynchronous facilities. It enables developers to write safe, correct, and energy-efficient embedded code more rapidly. The framework includes Hardware Abstraction Layers (HALs) for various microcontrollers like STM32, nRF, RP2040, and MSPM0, simplifying hardware interaction. Key features include globally available timekeeping, real-time task management with priority-based execution, and low-power readiness by putting the core to sleep when idle. Embassy also offers a comprehensive networking stack, Bluetooth Low Energy support, LoRa integration, a device-side USB stack, and a robust bootloader for power-fail-safe firmware upgrades.

Ultracode is an AI co-pilot specifically fine-tuned to help software engineers ace technical interviews. It offers undetectable, step-by-step AI support for a wide range of interview scenarios, including coding challenges, system design, object-oriented design, and trivia. The tool can solve problems asked verbally or on-screen, and provides comprehensive answers to hard follow-up questions. A key differentiator is its 100% invisibility, even when sharing a full screen on platforms like CoderPad, HackerRank, CodeSignal, Zoom, and more, across both Windows and Mac. Ultracode utilizes proprietary ThoughtFlow™ Solutions to explain every line of code, ensuring real understanding. It is built with input from tech leads and staff software engineers, and is trusted by candidates hired at major tech companies.

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.

ECA (Editor Code Assistant) is an AI-powered pair programming tool designed to streamline the coding process. It offers intelligent code assistance, including features like code completion and suggestions, to help developers write code more efficiently. A key aspect of ECA is its editor-agnostic design, allowing it to integrate seamlessly with a wide range of code editors. This open-source project aims to improve developer productivity by providing smart, context-aware coding support.

LesQuicheurs provides an AI chatbot experience focused on general conversations and entertainment. Users can interact with the chatbot for various purposes, including casual discussions and exploring the capabilities of language models. The tool is available on Hugging Face, making it accessible for those interested in engaging with AI-powered conversational agents and experimenting with their responses.

Emgo is an open-source project that provides a compiler and a set of packages for running Go programs on small 32-bit microcontrollers. It functions by generating C as an intermediate code, which is then compiled by a C compiler to produce loadable binaries. While the main development has shifted to Embedded Go for higher hardware compatibility, Emgo remains valuable for smaller MCUs. It supports ARM Cortex-M based MCUs and requires the Go compiler and ARM embedded toolchain for setup. The project includes examples and helper scripts for building, loading, and debugging programs on development boards like STM32 Nucleo.

Trampoline is a static Real-Time Operating System (RTOS) specifically designed for small embedded systems. Its API adheres to the OSEK/VDX OS and AUTOSAR OS 4.2 standards, ensuring compatibility and reliability for automotive and industrial applications. The RTOS supports a wide range of platforms, including Cortex-M (M0+, M3, M4), Cortex-A (A7), Cortex-R (R52), and RISC-V instruction sets, as well as PowerPC, POSIX systems, AVR, and ARM architectures. It provides numerous examples for various microcontrollers and boards, demonstrating functionalities like LED blinking, button polling, and interrupt handling. Trampoline also includes precompiled binaries of goil, an OIL and ARXML compiler, for different operating systems, facilitating configuration and development.

Llama 2 7B Chat is an AI chatbot specifically developed for engaging in conversational tasks. Its core functionalities revolve around advanced language understanding and efficient text generation, making it suitable for various interactive applications. The tool is also positioned as a valuable educational resource, offering capabilities that can aid learning and exploration in AI and language processing. It is noted for being available at no cost.

ConsoleControl is a C# class library designed to seamlessly integrate a console into WinForms or WPF applications. This powerful library allows developers to embed a fully functional console that can handle both input and output for any process started within the application. It's particularly useful for creating custom tools and utilities that require command-line interaction or displaying real-time process feedback. The library is easy to install via NuGet, with separate packages available for WinForms and WPF. Developers can simply add the ConsoleControl to their project and use the `StartProcess` method to begin. It also supports optional input from the control, enhancing its utility for interactive applications. The project is open-source and available on GitHub, providing full access to its codebase and development resources.

claude-to-chatgpt is an open-source utility designed to bridge the gap between Anthropic's Claude API and OpenAI's Chat API. It allows developers and applications built for the OpenAI ecosystem to seamlessly integrate and utilize Claude models without significant code changes. The tool handles the conversion of API requests and responses, supporting streaming for real-time interactions. It is versatile in deployment, offering options via Cloudflare Workers for serverless execution or Docker for containerized environments, making it accessible for various technical setups.

uber-apk-signer is a command-line interface (CLI) tool designed for Android developers to efficiently sign, zip align, and verify Android application packages (APKs). It supports all major Android signing schemes including v1, v2, v3, and v4, ensuring broad compatibility for modern Android development. A key feature is its embedded debug keystore, which simplifies the debug signing process. The tool automatically verifies signatures and zipalignment after each signing operation, providing immediate feedback on the integrity of the APKs. It can process single or multiple APKs, offering flexibility for various development workflows and includes options for custom keystores, password management, and integration with external zipalign executables.

HeadPoseEstimation-WHENet is an end-to-end head-pose estimation network designed for real-time, fine-grained prediction of Euler angles across the full range of head yaws from a single RGB image. Unlike many existing methods that perform well only for frontal views, WHENet targets head poses from all viewpoints, making it suitable for applications in autonomous driving and retail. The network builds on multi-loss approaches with adapted loss functions and training strategies for wide-range estimation. It also uniquely extracts ground truth labelings of anterior views from a panoptic dataset. WHENet is compact and efficient, making it suitable for mobile devices and applications, and meets or beats state-of-the-art methods for frontal head pose estimation.

3DMPPE_POSENET_RELEASE is the official PyTorch implementation of the 'Camera Distance-aware Top-down Approach for 3D Multi-person Pose Estimation from a Single RGB Image' presented at ICCV 2019. This repository specifically focuses on the PoseNet component of the system. It offers a flexible and simple codebase compatible with various 2D and 3D, single and multi-person pose estimation datasets, including Human3.6M, MPII, MS COCO 2017, MuCo-3DHP, and MuPoTS-3D. The tool also includes visualization code for human pose estimation, making it valuable for researchers and developers working on computer vision tasks related to human understanding. Users can train and test the network, and integrate their own datasets by converting them to MS COCO format.

UnrealEnginePython is an open-source plugin designed to embed a full Python VM (versions 3.x and 2.7) directly into Unreal Engine 4, supporting both the editor and runtime environments. This integration provides easy access to UE4's internal API and reflection system, allowing developers to write other plugins, automate tasks, create unit tests, and implement gameplay elements using Python. It's particularly useful for development pipelines already utilizing Python (e.g., Maya, Blender) to seamlessly integrate Unreal Engine. The plugin also exposes wrappers for third-party libraries like FbxSdk, enabling low-level interaction with FBX files. A unique feature is the ability to change Python code even after a project has been packaged, offering flexibility for modding or post-release updates. It supports Unreal Engine versions up to 4.23 and includes experimental Editor/IDE features.

Umka is a statically typed embeddable scripting language designed for simplicity and flexibility, featuring compile-time type checking. It follows the principle that explicit is better than implicit, making it suitable for extending applications with scripting capabilities. Key features include a clean syntax inspired by Go, a cross-platform bytecode compiler and virtual machine, garbage collection, and arrays/structures compatible with C. It supports polymorphism via interfaces, multitasking based on fibers, and type inference. Umka can be distributed as a static or dynamic library with a simple C API and is written in C99 source. Unlike Go, Umka is a lightweight interpreter easily embedded, offering features like implicit type casts, default parameters, and a ternary conditional operator. Its multithreading model uses fibers, and garbage collection is reference-counting based.

Llama 2 13b Chat is an AI chatbot specifically developed for conversational AI applications. It focuses on natural language processing and research, making it a valuable tool for those working in these fields. The chatbot is well-suited for the development and experimentation of AI chatbots, providing a platform for building and testing conversational agents. It is available for free, offering an accessible option for developers and researchers.

The Web Page Generator is a specialized application designed to calculate the dates of Eritrean Orthodox feasts. Users can easily determine these dates by providing an Eritrean year. For enhanced flexibility, the tool also allows for an optional Gregorian base date, which helps in obtaining both Eritrean and Gregorian feast dates. This tool is hosted on Hugging Face Spaces, indicating its accessibility and potential for community-driven development. It serves a niche but important function for those observing Eritrean Orthodox traditions.

LLaVA++ (LLaMA-3-V) is an AI chatbot specifically designed for research and development purposes. It provides a platform for experimenting with AI models and can be utilized as an educational resource for those interested in AI and chatbot applications. The tool is available for free, making it accessible for a wide range of users looking to explore and develop AI-powered conversational agents.

FastDepth is an open-source project that provides trained models and evaluation code for fast monocular depth estimation, specifically optimized for embedded systems. The project includes resources for setting up the environment, downloading pre-trained models, evaluating performance, and deploying models on hardware like the NVIDIA Jetson TX2. It leverages PyTorch for model training and evaluation, and the TVM compiler stack for efficient cross-compilation and deployment. The repository offers various MobileNet-NNConv5 architectures, including pruned versions with additive skip connections, demonstrating significant performance improvements in terms of RMSE and delta1 metrics compared to prior work, with very low runtimes on embedded GPUs.

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.

nerf-pytorch is a faithful PyTorch implementation of Neural Radiance Fields (NeRF), a method renowned for achieving state-of-the-art results in synthesizing novel views of complex scenes. This open-source project successfully reproduces the original NeRF results while offering a performance improvement, running 1.3 times faster than the authors' initial TensorFlow implementation. It provides a robust framework for researchers and developers to experiment with NeRF, including tools for downloading example datasets, training models, and rendering new views. The repository also includes pre-trained models for various scenes, facilitating reproducibility and quick experimentation. It is designed for those familiar with Python and PyTorch, offering a direct path to leveraging NeRF technology.