Coding & Development

TwinLabs.ai offers a Digital Twin platform that transforms real-world spaces into intelligent 3D views, leveraging existing CCTV infrastructure. This allows businesses to connect their spaces, assets, and customer behavior into a single, intelligent view, providing real-time data on how customers interact with assets, spaces, and services. The platform moves beyond disconnected reports and camera heatmaps, offering a living 3D scene that shows what's happening, where, and why it matters. It integrates multiple layers of intelligence on top of physical layouts, creating a single source of truth for optimizing performance and making proactive decisions. TwinLabs.ai is applicable across various sectors, including gyms, leisure centers, retail, events, and corporate campuses, and can be deployed rapidly.

Uxcel is an interactive learning platform designed for professionals to acquire and enhance skills in UX design, product management, and AI. It offers over 50 interactive courses, structured career paths, and professional certifications, all delivered through bite-sized lessons that can be completed in just five minutes a day. The platform emphasizes practical, real-world application with skill assessments, project briefs, and live workshops. Uxcel aims to make career development accessible and effective, providing a gamified experience to keep learners motivated and track their progress. It caters to individuals and teams, helping organizations build role-specific skills and drive business impact.

Proof Crater is a privacy-first commitment engine designed for blockchain data, allowing teams to anchor complex datasets on-chain and verify them later using zero-knowledge proofs and cryptographic evidence. Its flagship ZK Vault functionality facilitates fully anonymous, non-custodial asset distribution, ideal for private payrolls or airdrops. Recipients can claim funds to any clean address via a relayer, with proofs generated locally to ensure privacy. Beyond payments, it serves as a robust, independently verifiable snapshot registry, capturing historical on-chain state for audits, governance, and compliance. Proof Crater is chain-agnostic and prioritizes privacy and scrutiny over speed, providing a foundation for long-lived, auditable obligations.

PRIZ Guru is an AI-assisted platform designed to help engineering organizations solve complex problems more efficiently. It provides a guided, no-guesswork workflow for root cause analysis, process improvement, and systematic innovation, reducing time spent on firefighting and increasing reliable outcomes. The platform offers a unified toolkit of structured methods and processes, including creative thinking tools, guided facilitation (with optional AI assistance), project management, collaboration features, automatic reporting, and idea management. PRIZ Guru aims to strengthen engineering thinking, promote seamless communication, and turn engineering pain into repeatable wins by making 'unsolvable' problems solvable and improving yield predictably.

Ali Vilab In Context LoRA is an AI tool hosted on Hugging Face Spaces, designed to generate text responses from user-provided prompts. This application allows users to input a text prompt, and the underlying model will process it to produce a relevant text output. While the tool's specific focus on "In Context LoRA" suggests an emphasis on leveraging Low-Rank Adaptation within AI models for contextual text generation, the current status indicates it is inactive. It provides a platform for experimenting with text generation capabilities, likely targeting researchers or developers interested in AI model behavior and text-based applications.

App Prompter is a revolutionary AI-powered app builder designed to turn creative ideas into fully functional mobile applications in minutes, requiring no coding skills. It features AI-powered generation where users simply describe their app idea and the AI creates it, along with instant previews to see the app come to life immediately. The platform allows for easy editing through simple prompts and securely saves all created apps locally on the device. Users can also share their creations with others. With a modern, user-friendly UI and no mandatory ads, App Prompter offers a clean experience. It operates on a credit system with in-app purchase options, making it perfect for entrepreneurs testing app concepts, students learning app development, creative professionals prototyping ideas, and small business owners needing simple apps.

Recorder Plus is a versatile mobile application designed for iPhone and iPad users, offering robust audio recording and editing capabilities. Users can record for unlimited durations, constrained only by device storage, and enhance their recordings with markers for easy navigation and review. The app supports various recording methods, including external input and remote control via Bluetooth. While basic recording is free, advanced editing features are available through in-app purchases, providing tools for basic edits, accurate trimming, and video creation from audio. It also facilitates easy export to various platforms and offers comprehensive management features for recordings, including automatic backup and categorization.

Saydo AI is an iOS mobile application designed to streamline calendar and task management through intuitive voice commands. Users can effortlessly create events, schedule tasks, and organize their day by simply speaking naturally, eliminating the need for manual typing. The app leverages advanced AI to transcribe and understand user intent with remarkable accuracy, automatically categorizing tasks and integrating with Google Calendar for seamless scheduling and rescheduling. Key features include a voice-first design, smart task creation, intelligent parsing of context, dates, and priorities, and a privacy-first approach to data security. Optimized for speed, Saydo AI aims to boost productivity by transforming spoken words into organized schedules in seconds.

Bread Count is a privacy-focused personal net worth tracker designed for iPhone, iPad, and Mac users. It allows individuals to monitor their financial position across a wide range of assets, including bank accounts, investments, retirement funds, real estate, vehicles, and cryptocurrency. The app focuses on providing a clear overview of wealth without the complexity of budgeting or transaction tracking. Users can record asset values at any time to track net worth evolution through interactive charts and growth rates. Bread Count supports multiple currencies and ensures data privacy by storing information encrypted on iCloud, with no access by the developers. A web dashboard is also included for accessing data from any browser.

Strantin is a comprehensive and user-friendly enterprise video surveillance software designed for monitoring, reviewing, and streamlining images from security systems. It integrates powerful computing with digital video technologies to create highly functional surveillance solutions. The software is constantly enhanced to allow clients to build complex surveillance systems tailored to their evolving needs. Strantin offers features like Op Center™, Scene Enhancer, System Diagnostics, Site Mapping, Chronology, Storage, Dispatch Command, and Guided Setup. It also provides NVR hardware series (Core, Professional, Lineage, Enterprise) and various deployment models, making it suitable for multiple-site environments where video traffic is directed to centralized servers.

Rowy provides a low-code backend solution built on Google Cloud and Firebase, presenting database management through a familiar spreadsheet UI. It enables users to build powerful backend cloud functions and APIs directly from the browser, supporting over 30 field types and full scalability. The platform simplifies backend logic development by handling boilerplate tasks, allowing users to leverage any npm package or API. Rowy also facilitates team collaboration on a single source of truth with auditing and access controls down to the field level, alongside field validation and default values. It supports automations, derivative fields, action fields, extensions to external services like SendGrid and Slack, and webhooks for receiving data from various sources. Rowy is open-source and offers templates for quick development, making it suitable for both developers and non-technical team members.

WIB.ai is a domain name currently listed for sale on Spaceship.com, a platform specializing in domain transactions. The service emphasizes secure payments and offers guided transfer support to ensure a smooth acquisition process for buyers. Spaceship.com handles the transaction, providing buyer protection and flexible payment methods. While the domain itself is the product, the platform facilitates its purchase, making it suitable for individuals or entities looking to acquire a specific domain for their online presence. The listing includes options to make an offer, subject to the seller's minimum price, and provides details on transfer speed and payment security.

RosettaStone is a comprehensive Hearthstone simulator built with C++17, incorporating reinforcement learning techniques. It allows users to simulate Hearthstone games and develop AI agents for strategic gameplay. The tool provides both console and GUI simulator programs, along with C++ and Python APIs for flexible integration into various projects. It supports multiple platforms including macOS, Ubuntu, Windows, and Windows Subsystem for Linux. RosettaStone is ideal for developers and researchers interested in game AI, offering a robust environment for testing and refining reinforcement learning models within the context of a popular card game.

Algobash is a comprehensive end-to-end assessment platform designed to streamline the hiring process and efficiently uncover top candidates. It features an AI Interview that automatically checks answer relevancy, alongside robust coding tests for IT and data talents. The platform also offers specialized assessments like Spreadsheet Tests for data skills, Culture Fit and Personality Tests, Cognitive Tests for reasoning ability, On-Job Technical Skill Tests, and Language Tests. Algobash helps businesses improve hiring efficiency, enhance the quality of hires, and reduce employee turnover by leveraging accurate data on candidate skills and abilities. It caters to various industries and use cases, including lateral hiring, volume hiring, and management trainee programs.

Pixee AI functions as an Agentic AppSec platform, designed to triage and automatically fix software vulnerabilities. It boasts a 98% noise reduction rate by eliminating false positives through exploitability analysis, ensuring only real risks are addressed. The platform generates context-aware fixes that match coding conventions and security rules, achieving a 76% developer merge rate. Pixee learns continuously from team actions, adapting to specific coding conventions, policies, and preferences to become an autonomous product security engineer. It integrates deep codebase analysis, security policy integration, and execution path tracing to understand the real attack surface and prioritize risks effectively. This solution helps enterprises clear security backlogs, scale AppSec capacity, and ensure compliance by automating vulnerability resolution.

StemGNN is an open-source implementation of a Spectral Temporal Graph Neural Network designed for multivariate time-series forecasting. Developed by Microsoft, this tool is implemented in Python and optimized for Ubuntu 18.04.2 LTS. It allows users to train and evaluate models on diverse datasets, including traffic flow (PEMS03, PEMS04, PEMS07, PEMS08, METR-LA, PEMS-BAY), solar power, electricity consumption, ECG data, and COVID-19 case numbers. The repository provides detailed instructions for setting up a virtual environment, installing dependencies, and running training and evaluation procedures with customizable parameters such as window size, prediction horizon, and normalization methods. It also includes pre-cleaned ECG data for convenience.

StringSifter is an open-source machine learning tool developed by Mandiant that automatically ranks strings based on their relevance for malware analysis. This capability significantly speeds up the analysis process by highlighting the most critical strings, allowing analysts to focus on high-priority indicators. The tool can process strings extracted from various sources, including binaries, memory dumps, or sandbox runs, and is compatible with outputs from other tools like FLOSS. It provides command-line utilities for both string extraction (flarestrings) and ranking (rank_strings), supporting batch processing and filtering options. StringSifter requires Python 3.9 or newer and can be installed via pip or run within a Docker container, making it accessible for developers and security researchers.

svox2 is an open-source project that implements Plenoxels, a technique for representing radiance fields without relying on neural networks. This approach offers an alternative to traditional neural radiance fields for 3D scene representation and rendering. The tool is designed for researchers and developers in computer vision and 3D graphics, providing official optimization code and support for various dataset formats like NeRF-Blender, LLFF, NSVF, and CO3D. It includes scripts for data processing, optimization, and rendering, with options for single scene training or parallel task execution. While primarily tested on Linux, it offers a robust framework for experimenting with radiance fields.

Tagger is an open-source implementation of a Named Entity Recognizer (NER) that delivers state-of-the-art performance across four CoNLL datasets: English, Spanish, German, and Dutch. A key differentiator is its ability to achieve this high level of accuracy without relying on any language-specific knowledge or external resources like gazetteers. The tool provides a straightforward command-line interface for tagging sentences using pre-trained models or for training custom models with user-provided datasets. It requires Python 2.7 with Numpy and Theano installed, making it accessible for researchers and developers familiar with these environments. The project is hosted on GitHub under an Apache-2.0 license, encouraging community contributions and further development.

Tianshou (天授) is a reinforcement learning (RL) library built on pure PyTorch and Gymnasium, designed for both RL researchers and practitioners. It offers modular low-level interfaces for algorithm developers, emphasizing flexibility, hackability, and type-safety, alongside convenient high-level interfaces for applying RL to custom environments. The library supports a wide range of RL paradigms, including online (on- and off-policy) and offline RL, with experimental support for multi-agent RL (MARL) and model-based RL. Tianshou stands out for its high-performance, modularized framework, user-friendly interfaces, and generality, enabling concise implementations without sacrificing flexibility. It includes implementations of numerous state-of-the-art algorithms like DQN, PPO, SAC, and various offline RL methods, and supports features such as vectorized environments, recurrent state representations, and multi-GPU training.

Appy Pie is an AI-powered no-code platform designed to transform simple prompts into functional mobile applications and websites. Users can describe their ideas in natural language, and the AI generates a working draft with screens, flows, and backend infrastructure automatically. The platform supports visual drag-and-drop customization and allows for further refinement with AI prompts. Apps built with Appy Pie can be published directly to the Apple App Store, Google Play, and the web. It includes essential business features such as payments, subscriptions, bookings, push notifications, analytics, and robust security and compliance options like GDPR, HIPAA, and SOC 2. Appy Pie aims to simplify app and website creation for businesses and individuals, enabling them to expand their digital presence quickly and efficiently.

torch-residual-networks is a Torch implementation of the "Deep Residual Learning for Image Recognition" paper, which won the 2015 ILSVRC and COCO challenges. This open-source project enables researchers and developers to explore and reproduce the results of residual networks, particularly for image classification tasks. It includes working implementations for CIFAR convergence and provides experimental results on the effect of model size, architecture, alternate solvers, and batch normalization momentum. While CIFAR converges as per the paper, ImageNet implementation is noted as still under development. The project offers insights into different architectural strategies for residual networks, making it a valuable resource for those studying deep learning architectures.

Microsoft on GitHub serves as the official index for Microsoft's extensive collection of open-source projects hosted on GitHub. This platform centralizes access to a wide array of development tools and frameworks, including popular projects such as Visual Studio Code for code editing and TypeScript for language development. It highlights Microsoft's commitment to open-source initiatives and facilitates engagement with the global developer community. The site acts as a gateway for developers to discover, contribute to, and utilize Microsoft's open-source contributions, spanning various domains from cloud technologies to developer tools. It is a crucial resource for anyone looking to explore or leverage Microsoft's open-source ecosystem.

Plandek Intelligent Analytics is an AI-driven platform designed to provide engineering insights and frameworks to accelerate the transition to hyper-productive AI engineering. It uses DevOps data and survey insights to reveal workflow bottlenecks and unlock productivity. Key features include aligning engineering effort with roadmap priorities, unlocking developer productivity by identifying lost effort, and fast-tracking AI adoption and impact by detecting usage and constraints. The platform also helps improve developer experience through surveys and delivers faster by unifying data from Jira, Git, CI/CD, and other tools to predict risk and reforecast delivery dates. Plandek includes Dekka, an AI Engineering Assistant, that analyzes data and briefs teams on risks and next actions.