Search Results for "open innovations"
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Showing 48 open source projects for "open innovations"
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MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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AI-generated apps that pass security reviewRetool lets you generate dashboards, admin panels, and workflows directly on your data. Type something like “Build me a revenue dashboard on my Stripe data” and get a working app with security, permissions, and compliance built in from day one. Whether on our cloud or self-hosted, create the internal software your team needs without compromising enterprise standards or control.
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DeepSpeed
Deep learning optimization library: makes distributed training easy
DeepSpeed is an easy-to-use deep learning optimization software suite that enables unprecedented scale and speed for Deep Learning Training and Inference. With DeepSpeed you can: 1. Train/Inference dense or sparse models with billions or trillions of parameters 2. Achieve excellent system throughput and efficiently scale to thousands of GPUs 3. Train/Inference on resource constrained GPU systems 4. Achieve unprecedented low latency and high throughput for inference 5. Achieve extreme... -
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GLM-5
From Vibe Coding to Agentic Engineering
...It incorporates innovations like DeepSeek Sparse Attention (DSA) to preserve massive context windows while reducing deployment costs and supporting long context processing, which is crucial for detailed plans and agent tasks. -
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Orion
A machine learning library for detecting anomalies in signals
Orion is a machine-learning library built for unsupervised time series anomaly detection. Such signals are generated by a wide variety of systems, few examples include telemetry data generated by satellites, signals from wind turbines, and even stock market price tickers. We built this to provide one place where users can find the latest and greatest in machine learning and deep learning world including our own innovations. Abstract away from the users the nitty-gritty about preprocessing,... -
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Redox
Redox is an operating system written in Rust
Redox is a Unix-like Operating System written in Rust, aiming to bring the innovations of Rust to a modern microkernel and full set of applications. Redox is a general purpose operating system written in pure Rust. Our aim is to provide a fully functioning Unix-like microkernel, that is both secure and free. We have modest compatibility with POSIX, allowing Redox to run many programs without porting. We take inspiration from Plan9, Minix, Linux, and BSD. Redox aims to synthesize years of... -
Go From AI Idea to AI App FastAccess Gemini 3 and 200+ models. Build chatbots, agents, or custom models with built-in monitoring and scaling.
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Wan2.2
Wan2.2: Open and Advanced Large-Scale Video Generative Model
Wan2.2 is a major upgrade to the Wan series of open and advanced large-scale video generative models, incorporating cutting-edge innovations to boost video generation quality and efficiency. It introduces a Mixture-of-Experts (MoE) architecture that splits the denoising process across specialized expert models, increasing total model capacity without raising computational costs. Wan2.2 integrates meticulously curated cinematic aesthetic data, enabling precise control over lighting, composition, color tone, and more, for high-quality, customizable video styles. ... -
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Luau
Fast, small, safe, gradually typed embeddable scripting language
...Roblox chose to open-source Luau to foster collaboration within the Roblox community as well as to allow other companies and communities to benefit from the ongoing language and runtime innovation. As a consequence, Luau is now also used by games like Alan Wake 2 and Warframe. -
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Ungoogled Chromium Arch Linux
Arch Linux packaging for ungoogled-chromium
Ungoogled Chromium Arch Linux is a community-maintained repository providing Arch Linux PKGBUILDs and packaging support to build and install privacy-enhanced Chromium on Arch and Arch-based distributions like Manjaro. This project adjusts upstream Chromium sources with patches that remove Google dependencies — such as account sign-in, crash reporting, and proprietary component updates — so that users can enjoy the Chromium engine without unwanted telemetry or background connections. The... -
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firo
The privacy-focused cryptocurrency
Firo is a privacy-focused cryptocurrency implementing zero-knowledge proofs to enable anonymous transactions while maintaining decentralization and auditability. Formerly known as Zcoin, Firo pioneered several innovations in privacy tech including the Lelantus protocol, which enables unlinkable and untraceable transactions without the need for trusted setup. It combines cutting-edge cryptographic research with user-friendly features, making it accessible to both everyday users and privacy... -
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Boxedwine
Emulator that can run 32-bit Windows programs/games
Boxedwine is a cross-platform emulator that enables users to run Windows applications by combining a Wine runtime with a custom emulated Linux kernel and CPU environment. Instead of relying on a native Linux system, it creates a fully self-contained execution environment that allows Windows binaries to run on platforms such as macOS, Linux, Windows, and even web browsers via WebAssembly. The project is written primarily in C++ and leverages SDL for graphics and input handling, providing a... -
Build Securely on Azure with Proven FrameworksMoving to the cloud brings new challenges. How can you manage a larger attack surface while ensuring great network performance? Turn to Fortinet’s Tested Reference Architectures, blueprints for designing and securing cloud environments built by cybersecurity experts. Learn more and explore use cases in this white paper.
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MiniCPM4.1
Achieving 3+ generation speedup on reasoning tasks
MiniCPM4.1 is an enhanced iteration of the MiniCPM4 architecture, introducing improvements in reasoning capabilities, inference speed, and hybrid operation modes that allow dynamic switching between deep reasoning and standard generation. It builds upon the same efficiency-focused philosophy but further optimizes decoding performance, achieving substantial speed gains in reasoning-intensive tasks while maintaining high-quality outputs. One of its key innovations is the hybrid reasoning mode,... -
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MobileLLM
MobileLLM Optimizing Sub-billion Parameter Language Models
MobileLLM is a lightweight large language model (LLM) framework developed by Facebook Research, optimized for on-device deployment where computational and memory efficiency are critical. Introduced in the ICML 2024 paper “MobileLLM: Optimizing Sub-billion Parameter Language Models for On-Device Use Cases”, it focuses on delivering strong reasoning and generalization capabilities in models under one billion parameters. The framework integrates several architectural innovations—SwiGLU... -
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Generative AI Examples
Generative AI Examples is a collection of GenAI examples
Efficiently integrate secure, performant, and cost-effective Generative AI workflows into business value. Detailed framework of composable building blocks for state-of-the-art generative AI systems including LLMs, data stores, and prompt engines. Architectural blueprints of retrieval-augmented generative AI component stack structure and end-to-end workflows. A four-step assessment for grading generative AI systems around performance, features, trustworthiness and enterprise-grade readiness. -
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GridDB
GridDB is a next-generation open source database
...Various architectural innovations, such as in-memory orientation with "memory as the main unit and disk as the secondary unit" and event-driven design with minimal overhead, have been incorporated to achieve processing capabilities that can handle petabyte-scale applications. -
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MiroFlow
Agent framework that enables tool-use agent tasks
MiroFlow is a high-performance open-source framework designed for building intelligent AI agents capable of solving complex reasoning and research tasks. The system introduces a hierarchical architecture that organizes components into control, agent, and foundation layers, allowing developers to manage agent orchestration and tool interactions in a structured manner. -
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xLSTM
Neural Network architecture based on ideas of the original LSTM
xLSTM is an open-source machine learning architecture that reimagines the classic Long Short-Term Memory (LSTM) network for modern large-scale language modeling and sequence processing tasks. The project introduces a new recurrent neural network design that incorporates exponential gating mechanisms and enhanced memory structures to overcome limitations of traditional LSTM models. -
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Mobile Next
Model Context Protocol Server for Mobile Automation and Scraping
Mobile Next is a Model Context Protocol server designed to enable scalable, AI-driven mobile automation across both iOS and Android environments through a unified interface. It abstracts away platform-specific complexities, allowing developers and AI agents to interact with mobile devices using a consistent set of commands regardless of operating system. The system supports real devices, emulators, and simulators, making it suitable for testing, automation, and data extraction workflows in... -
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Kubeflow Trainer
Distributed AI Model Training and LLM Fine-Tuning on Kubernetes
Kubeflow Trainer is a Kubernetes-native platform designed for scalable, distributed training and fine-tuning of machine learning models, particularly large language models, across multi-node and multi-GPU environments. It extends the Kubeflow ecosystem by providing a unified framework for orchestrating training workloads using Kubernetes primitives, enabling seamless scaling from single-machine experiments to large production clusters. The platform supports a wide range of machine learning... -
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Qwen2.5-Omni
Capable of understanding text, audio, vision, video
Qwen2.5-Omni is an end-to-end multimodal flagship model in the Qwen series by Alibaba Cloud, designed to process multiple modalities (text, images, audio, video) and generate responses both as text and natural speech in streaming real-time. It supports “Thinker-Talker” architecture, and introduces innovations for aligning modalities over time (for example synchronizing video/audio), robust speech generation, and low-VRAM/quantized versions to make usage more accessible. It holds... -
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CogView
Text-to-Image generation. The repo for NeurIPS 2021 paper
CogView is a large-scale pretrained text-to-image transformer model, introduced in the NeurIPS 2021 paper CogView: Mastering Text-to-Image Generation via Transformers. With 4 billion parameters, it was one of the earliest transformer-based models to successfully generate high-quality images from natural language descriptions in Chinese, with partial support for English via translation. The model incorporates innovations such as PB-relax and Sandwich-LN to enable stable training of very deep... -
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Direct LiDAR Odometry
A lightweight and computationally-efficient frontend LiDAR odometry
DLO is a lightweight and computationally efficient frontend LiDAR odometry solution with consistent and accurate localization. It features several algorithmic innovations that increase speed, accuracy, and robustness of pose estimation in perceptually challenging environments and has been extensively tested on aerial and legged robots. This work was part of NASA JPL Team CoSTAR's research and development efforts for the DARPA Subterranean Challenge, in which DLO was the primary state... -
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emacs-ng
A new approach to Emacs
Emacs-ng is an experimental fork of GNU Emacs that aims to modernize the traditional editor by introducing native features such as asynchronous execution, dynamic modules, and integration with advanced technologies like WebAssembly and JavaScript engines. It builds upon the extensibility of Emacs while addressing some of its long-standing performance and architectural limitations. One of its key innovations is the ability to run JavaScript code within Emacs using embedded engines, enabling... -
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Brain Tokyo Workshop
Experiments and code from Google Brain’s Tokyo research workshop
The Brain Tokyo Workshop repository hosts a collection of research materials and experimental code developed by the Google Brain team based in Tokyo. It showcases a variety of cutting-edge projects in artificial intelligence, particularly in the areas of neuroevolution, reinforcement learning, and model interpretability. Each project explores innovative approaches to learning, prediction, and creativity in neural networks, often through unconventional or biologically inspired methods. The... -
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OXID eShop
OXID eShop is a trusted and flexible open source e-commerce system
With OXID eShop, online merchants or integration agencies get a lean, modern and feature rich PHP software to build up a sustainable e-commerce business. OXID eShop is easy to customize: it uses the Smarty template engine for generating one's unique store front design. If you have to change or add some functionality for fitting OXID eShop into your business model, write an extension, put it into the modules folder and off you go. Thanks to the OOP (object oriented programming) architecture... -
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sweet-ipfs
IPFS node monitoring for Android & ChromeOS
Monitor your IPFS node from your phone. This app provides continuous notification that monitors your IPFS node. This node can run on your phone using Termux, or run on another machine. It also provides easy access to the WebUI and settings like power management. The InterPlanetary File System is a peer-to-peer (p2p) file-sharing system that aims to fundamentally change the way information is distributed around the world. IPFS consists of several innovations in communication protocols and... -
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Microsoft AI Lab
Explore, learn, and code the latest breakthrough AI innovations
Explore our most popular projects and experiments, demonstrating the possibilities of AI. Jumpstart your own AI innovations with learning resources and development solutions from Microsoft AI. Explore insights and behind-the-scenes technology for breakthrough AI innovations. From Tech Minutes videos to Technology Deep Dives, learn about the engineering that powers the future of AI. AI at Scale is expanding the possibilities of AI innovation by pushing the boundaries of infrastructure,...
