Coding & Development

SegLossOdyssey is an open-source repository offering a comprehensive collection of loss functions specifically designed for medical image segmentation. This tool is invaluable for researchers and practitioners aiming to enhance the accuracy and robustness of their segmentation models, particularly in tasks involving highly imbalanced data. The collection includes implementations in PyTorch and Keras, covering a wide array of loss functions from various research papers and challenges. It highlights the effectiveness of compound loss functions for challenging segmentation tasks and provides a valuable resource for exploring and applying state-of-the-art loss functions in medical imaging.

Code99 is an AI-driven platform designed to significantly accelerate full-stack application development. It automates the generation of production-ready boilerplate code, drastically reducing the time developers spend on repetitive tasks. The platform supports customizable tech stacks, including popular choices like Nest.js for backend development and React.js for frontend interfaces. Additionally, Code99 is versatile in its database compatibility, working seamlessly with both SQL and NoSQL databases. This makes it a powerful tool for developers looking to streamline their workflow and deliver applications more efficiently across diverse project requirements.

Mongoose is a robust, open-source network library for C/C++ that provides event-driven, non-blocking APIs for various protocols including TCP, UDP, HTTP, WebSocket, and MQTT. Designed for embedded systems and IoT applications, it facilitates connecting devices and bringing them online. Mongoose boasts cross-platform compatibility, working across Linux/UNIX, MacOS, Windows, Android, and various microcontrollers like ST, NXP, and ESP32. It features a tiny static and run-time footprint, is easy to integrate by simply copying two files, and includes a built-in TCP/IP stack with drivers for bare metal or RTOS systems. Mongoose also supports running on existing TCP/IP stacks like lwIP and Zephyr, and includes a built-in TLS 1.3 ECC stack, with options for external TLS libraries.

embedded-redis is an open-source tool designed to provide an embedded Redis server specifically for Java integration testing. It allows developers to easily start and stop a Redis instance within their test environment, eliminating the need for a separate Redis installation. The tool supports various configurations, including custom Redis executables, fluent API for server creation, and setting up HA Redis clusters with Sentinels and master-slave replication. It also offers the flexibility to use ephemeral or predefined ports for testing. This makes it an ideal solution for Java developers looking to streamline their integration testing process with Redis.

embedded-resources is an open-source GitHub repository maintained by Embedded Artistry, offering a comprehensive collection of templates, documents, and source code examples specifically tailored for embedded systems development. This resource is designed to assist engineers in designing and building embedded systems and firmware, providing practical, real-world examples. The repository includes various sections such as C and C++ examples, libc and libcpp implementations, interview questions, and manufacturing-related documents. It leverages tools like git-lfs and meson for efficient management and building of projects, making it a valuable asset for developers looking to enhance their embedded artistry skills and streamline their development workflows.

FSDrive is the official implementation for the research paper "FutureSightDrive: Thinking Visually with Spatio-Temporal CoT for Autonomous Driving," which was recognized as a NeurIPS 2025 spotlight. This tool introduces a novel spatio-temporal Chain-of-Thought (CoT) approach, allowing end-to-end autonomous driving Visual Language Agents (VLA) to visually process and plan trajectories. It uniquely unifies visual generation and understanding with minimal data, marking a significant advancement in applying visual reasoning to autonomous driving. FSDrive provides comprehensive instructions for installation, data preparation, training, inference, evaluation, and visualization, making it a valuable resource for researchers and developers in the autonomous driving domain.

Gno is a blockchain platform that interprets a deterministic variant of Go for writing smart contracts, built on Tendermint consensus. It provides an interpreted and fully-deterministic implementation of the Go programming language, designed for building succinct and composable smart contracts. The first blockchain to use Gno is gno.land, a contribution-based chain backed by a variation of the Tendermint consensus engine. Key features include Go syntax, deterministic execution, composable packages, auto-persisted state, a contribution system, and a comprehensive developer experience with tooling for testing, debugging, and hot-reload development. Gno also offers a Playground for web-based code writing, sharing, and deployment.

GraalPy is a high-performance, embeddable Python 3 runtime for Java, built on GraalVM. It offers low-overhead integration between Python and Java, allowing developers to use Python within Java applications on various JDKs like GraalVM JDK, Oracle JDK, or OpenJDK. GraalPy is Python 3.12 compliant and supports the Python ecosystem, with experimental support for many popular native extension modules like NumPy, PyTorch, and TensorFlow. It also runs pure Python code faster than CPython after JIT compilation and enables deploying Python applications as standalone binaries with all dependencies included. Developers can manage Python libraries' system access through GraalPy's Java-based emulation of Python OS APIs.

MMSelfSup is an open-source self-supervised representation learning toolbox built on PyTorch, forming a key part of the OpenMMLab project. It offers a comprehensive collection of state-of-the-art self-supervised learning methods, all configured under consistent settings for robust comparison across various benchmarks. The toolbox features a modular design, similar to other OpenMMLab projects, allowing developers flexibility in building and customizing algorithms. It standardizes benchmarks for tasks like logistic regression, SVM/low-shot SVM, semi-supervised classification, object detection, and semantic segmentation. MMSelfSup ensures smooth integration and evaluation with other OpenMMLab projects for downstream tasks, making it a versatile tool for researchers and developers in the field.

LUCUBET is an official online gambling platform specializing in Toto 5D and other popular lottery games like Singapore, Hongkong, and Sydney. Designed for players in Indonesia, it provides a secure and innovative environment for online betting. The platform ensures real-time display of official lottery results, guaranteeing transparency and accuracy without delays. LUCUBET is accessible across various devices, including smartphones, tablets, and desktops, and also offers a dedicated web application for a faster and more responsive experience. With a low minimum deposit of Rp10,000, it aims to be an accessible and reliable choice for lottery enthusiasts, supported by 24/7 customer service.

esProc SPL is a JVM-based programming language specifically designed for structured data computation, serving as both a powerful data analysis tool and an embedded computing engine. Unlike traditional text-based languages, SPL code is written in an intuitive, Excel-like grid interface, providing real-time, step-by-step execution results. This unique approach significantly reduces the learning curve for beginners while offering an excellent interactive experience. SPL integrates standard programming language features such as branching, looping, and recursion, alongside robust set operation capabilities for concise code. It aims to overcome the limitations of SQL by integrating the advantages of SQL and Java, enabling complex data processing tasks that typically require SQL+Python, all within SPL. Developed entirely in Java, esProc seamlessly integrates into Java applications and supports a wide array of data sources, including RDBs and NoSQL, making it ideal for lightweight multi-data source hybrid computations and embedded report query systems.

ObjectBox Go Database is an embedded Go database designed for high performance and resource efficiency, serving as a fast alternative to SQLite and GORM. It offers an intuitive native Go API for persisting objects quickly and sustainably. The database is optimized for restricted devices like IoT gateways and microcontrollers, ensuring minimal CPU, power, and memory usage. Key features include built-in object links/relationships, multiplatform support (Linux, Windows, Android, iOS, macOS), and scalability for millions of objects. It also provides flexible data querying, static typing for compile-time checks, and automatic schema migrations, eliminating the need for manual update scripts. Additionally, ObjectBox offers extensions like ObjectBox Sync for data synchronization and ObjectBox TS for time-series data.

Pelee is an open-source, real-time object detection system specifically optimized for mobile devices. Based on the SSD framework, this system was presented at NeurIPS 2018 and offers a robust solution for mobile vision applications. The repository provides the necessary code for researchers and developers to implement and experiment with the Pelee object detection model. It includes tools for training on VOC and COCO datasets, evaluation scripts, and pre-trained models for various configurations. Pelee demonstrates competitive performance in terms of both accuracy (mAP) and frames per second (FPS) on mobile platforms like iPhone 8 and NVIDIA TX2, making it a valuable resource for developing efficient mobile AI applications.

Cad Recode is an innovative AI tool designed to reverse engineer 3D CAD models from mesh files. Users can upload a 3D mesh, and the application processes it by sampling 256 points. From these points, it generates corresponding Python CAD code, effectively translating the visual mesh into programmatic instructions. This generated code can then be used to reconstruct the CAD model, offering a unique approach to converting existing 3D designs into editable, code-based formats. The tool is hosted on Hugging Face Spaces, providing an accessible platform for this specialized conversion task.

Potatis is a versatile open-source emulator written in Rust, designed to emulate both the MOS-6502 CPU and the Nintendo Entertainment System (NES). It provides a generic CPU emulator that passes all tests, including illegal operations, and an incomplete but functional NES emulator supporting various mappers like NROM, MMC1, UxROM, and MMC3. The tool is highly adaptable, with native targets for SDL, browser targets using WebAssembly, and even embedded targets for devices like the RP-2040 (Raspberry Pi Pico). A unique feature is its clientless cloud gaming capability, allowing users to play NES games via netcat and terminal rendering, with options for Sixel, Unicode color, and ASCII rendering. Potatis also supports Android via JNI, making it accessible across a wide range of platforms.

Broccoli is an open-source tool designed for Go developers to embed static files within their executables using Brotli compression. This method offers a significant advantage over alternatives like gzip, resulting in 13-25% smaller binary sizes. It supports bundling multiple source directories and operates via the `go generate` command-line interface, eliminating the need for configuration files. A key feature is optional decompression, where files are only decompressed upon their first read, optimizing performance. Broccoli also stands out for its compatibility with wasm/js architecture, a common limitation for other embedding libraries. It includes a `.gitignore` option to respect existing ignore rules, streamlining development workflows. The tool provides various options for source directories, output file names, variable names, and inclusion/exclusion wildcards, along with adjustable Brotli compression levels.

cheat-sheet-pdf offers a comprehensive collection of cheat sheets designed for DevOps, engineers, and IT professionals. This GitHub repository serves as a centralized resource for quick references across a wide array of tools and technologies commonly used in software development and IT. The collection covers essential topics such as Nginx, Docker, Ansible, Python, Go (Golang), Git, Regular Expressions, PowerShell, VIM, Jenkins, CI/CD, Kubernetes, Linux, Redis, Slack, Puppet, Google Cloud Developer, AI/ML/Data Science, PostgreSQL, Ajax, AWS, Infrastructure as Code (Terraform), System Design, and Cyber Security. Contributions are warmly welcomed, making it a community-driven resource for staying updated and efficient in various technical domains.

SQL Translator is a free and open-source tool designed to bridge the gap between natural language and SQL. It allows users to input natural language queries and receive corresponding SQL code, or input SQL code and get a human-readable natural language translation. This makes it easier for individuals who are not SQL experts to understand and interact with relational databases. Key features include dark mode, a lowercase/uppercase toggle for SQL output, copy-to-clipboard functionality, SQL syntax highlighting, schema awareness (beta), and query history. The project is easy to set up locally using npm or Docker Compose, requiring only an OpenAI API key. It aims to simplify database management and querying for a broad audience.

flutter-unity-view-widget enables developers to seamlessly integrate Unity game engine views into their Flutter applications. This open-source tool supports embedding Unity content in both fullscreen and embeddable modes, making it ideal for adding gamified features or complex 3D experiences to Flutter apps. It works across Android, iPad OS, iOS, and Web platforms, with specific setup instructions for each. The widget supports Unity versions from 2019.4.3 up to 2022.3.x, with recommendations for the latest LTS versions. Developers need to export their Unity project for integration, and the tool provides clear guidance for platform-specific configurations on Android and iOS, including NDK setup and activity modifications. It's designed for technical users familiar with Unity Engine.

Argmax Open Source Regression Tests is a specialized tool designed for software developers and AI engineers to perform comprehensive regression tests on AI models, specifically focusing on WhisperKit releases. This application offers interactive tables and charts that enable detailed comparisons of accuracy (WER), quality, and speed across various configurations. Users can filter results by different models, devices, operating systems, and speed ranges, providing a granular view of performance. It is an essential resource for ensuring code quality and performance in open-source AI development and for conducting thorough performance benchmarking of WhisperKit models.

CodeParrot Highlighting is a web-based tool designed to assist developers in identifying potential issues within their code. By analyzing the probability scores of different code segments, the application highlights areas that are less common or might contain errors, offering a unique perspective on code quality. Users provide their code as input, and the tool processes it to output the same code with highlighted sections. This can be particularly useful for learning and improving coding practices, as it draws attention to unconventional patterns that might warrant further review. The tool is hosted on Hugging Face Spaces, making it accessible via a web browser.

Code Clippy Problem Solver is an AI tool intended to aid developers and programming students in debugging and resolving coding issues. It aims to identify errors within code and provide suggestions for potential fixes, thereby improving coding efficiency and skills. The tool is hosted on Hugging Face Spaces, indicating its availability within that platform's ecosystem. However, the current live website shows a runtime error, suggesting it is not operational at this time. Its primary function, when operational, would be to streamline the debugging process for various coding problems.

DataMeasurementsTool is an AI tool hosted on Hugging Face Spaces, built with Streamlit and Python 3.10.10. It allows users to examine datasets by providing key statistics such as text lengths, label distributions, and vocabulary patterns. Users can select any dataset from the Hugging Face Hub to analyze. This tool is particularly useful for data measurement and analysis within AI development projects, helping developers and researchers understand the characteristics of their data more deeply. It offers a straightforward way to gain insights into dataset composition, which is crucial for model training and evaluation.

TIDE (A General Toolbox for Identifying Object Detection Errors) is an easy-to-use, open-source Python package designed to compute and evaluate the impact of object detection and instance segmentation errors on overall model performance. It serves as a drop-in replacement for the COCO Evaluation toolkit, offering functionalities to summarize results in console tables and generate summary plots for error analysis. TIDE supports various datasets including COCO, LVIS, Pascal, and Cityscapes, with plans for more detailed documentation on custom database drivers. The tool is ideal for researchers and developers working on computer vision tasks who need to deeply understand and improve their object detection and segmentation models.