Search Results for "high" - Page 89
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Showing 5835 open source projects for "high"
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MFACE
A high-resolution model of field-aligned currents
MFACE is a high-resolution field-aligned currents model derived from ten years of CHAMP data with a novel technique based on EOF decomposition. Predictor variables include MLat, MLT, DoY, IMF conditions, Vsw and AE index. Compared to existing models, MFACE yields significantly better spatial resolution, reproduces typically observed FAC thickness and intensity, improves on the magnetic local time distribution, and gives the seasonal dependence of FAC latitudes and the NBZ current signature. ... -
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Super-QuantamOS (QuantamOS) is a cutting-edge operating system built directly on the Linux kernel, designed with gamers and power users in mind. This custom Linux distribution comes preloaded with essential applications like Steam, Firefox, and many others, ensuring an out-of-the-box, high-performance gaming experience.
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Chinese-LLaMA-Alpaca-3
Chinese Llama-3 LLMs) developed from Meta Llama 3
Chinese-LLaMA-Alpaca-3 is an open-source project that provides Mandarin-focused large language models based on Meta’s LLaMA-3 architecture, with both foundational and instruction-tuned variants to support high-quality Chinese natural language understanding and generation. It extends the original LLaMA models with expanded Chinese vocabularies and additional pretraining on Chinese corpora to improve semantic encoding and decoding specifically for Chinese text. Alongside the base models, the project also releases Chinese Alpaca models that are fine-tuned on instruction datasets so they behave more like conversational and instruction-following AI assistants. ... -
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FASTER
Fast persistent recoverable log and key-value store + cache
Managing large application state easily, resiliently, and with high performance is one of the hardest problems in the cloud today. The FASTER project offers two artifacts to help tackle this problem. FASTER Log is a high-performance concurrent persistent recoverable log, iterator, and random reader library in C#. It supports very frequent commit operations at low latency, and can quickly saturate disk bandwidth. -
PRTG Catches Network Issues Before They Cause DowntimeReactive troubleshooting usually means hearing about a problem from frustrated users, not your monitoring tool. PRTG sets threshold-based alerts across devices, servers and applications, notifying your team by email, SMS or push the moment a metric crosses a set limit. That means catching a failing disk or overloaded server before it becomes an outage and getting time back from firefighting. Start a free trial and set your first alerts today.
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Enums.NET
Enums.NET is a high-performance type-safe .NET enum utility library
Enums.NET is a high-performance type-safe .NET enum utility library that provides many operations as convenient extension methods. It is compatible with .NET Framework 4.5+ and .NET Standard 1.0+. To help you migrate your code to using the new methods I have created the C# roslyn analyzer Enums.NET.Analyzer which provides a code fix to migrate your usage of the non-generic and unsafe methods to the new methods. -
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OpenPipe
Turn expensive prompts into cheap fine-tuned models
...One of its core components, the Agent Reinforcement Trainer, allows developers to train multi-step agents using reinforcement learning techniques such as GRPO, enhancing their ability to perform complex, sequential tasks. OpenPipe emphasizes cost reduction by enabling organizations to distill high-cost inference workflows into smaller, specialized models that can run more efficiently at scale. -
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OpenQASM
Quantum assembly language for extended quantum circuits
...Its main goal is to serve as an intermediate representation for higher-level compilers to communicate with quantum hardware. Allowances have been made for human usability. In particular, the language admits different representations of the same program as it is transformed from a high-level description to a pulse representation. -
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Finagle
A fault tolerant, protocol-agnostic RPC system
Finagle is an extensible RPC system for the JVM, used to construct high-concurrency servers. Finagle implements uniform client and server APIs for several protocols, and is designed for high performance and concurrency. Most of Finagle’s code is protocol agnostic, simplifying the implementation of new protocols. Finagle is written in Scala, but provides both Scala and Java idiomatic APIs. Finagle is a protocol-agnostic, asynchronous RPC system for the JVM that makes it easy to build robust clients and servers in Java, Scala, or any JVM-hosted language. ... -
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Linguistic Tree Constructor
Syntax tree editor for rapid annotation of existing text
Linguistic Tree Constructor (LTC) is a tool for drawing lingusitic syntax trees of already-existing text. It is a syntax editor, not a text editor, so the text has to exist already. It is best suited for large-scale, rapid creation of hand-annotated treebanks. The user can define their own node categories, and can label each node with labels, also definable by the user. LTC supports "generic", X-Bar and RRG trees. Supports interlinear texts in SIL SFM format. -
Cut Data Warehouse Costs by 54%BigQuery delivers 54% lower TCO with exabyte scale and flexible pricing. Free migration tools handle the SQL translation automatically.
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MyChatGPT
OSS standalone ChatGPT client
...The 20 dollar price tag on ChatGPT is a bit steep for me. I don't want to pay for a service I don't use. I also don't want to pay for a service that I use only a few times a month. Even with relatively high usage this client is much cheaper. A ChatGPT conversation can hold 4096 tokens (about 1000 words). The ChatGPT API charges 0.002$ per 1k tokens. Every message needs the entire conversation context. So if you have a long conversation with ChatGPT you pay about 0.008$ per message. ChatGPT needs to send 2500 (messages with full conversation context) a month to pay the same as the ChatGPT subscription. -
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ApraPipes
A pipeline framework for developing video and image processing apps
ApraPipes is a C++ multimedia processing framework designed for building high-performance video/audio processing pipelines with GPU acceleration. It provides a modular, declarative architecture for creating complex media processing workflows that span camera capture, encoding/decoding, computer vision, AI operations, and output to files, streams, or displays. -
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goodsKill
Microservices-based flash sale system for high-concurrency testing
...It also incorporates AI-driven simulation capabilities for automated testing. Designed primarily as a learning reference, it showcases scalable system design, microservices communication, and real-world tradeoffs in handling high-traffic transactional systems. -
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ws
Tiny WebSocket library for Go
Zero-copy upgrade. No intermediate allocations during I/O. Low-level API which allows building your own logic of packet handling and buffers reuse. High-level wrappers and helpers around API in wsutil package, which allow to start fast without digging the protocol internals. Existing WebSocket implementations do not allow users to reuse I/O buffers between connections in clear way. This library aims to export efficient low-level interface for working with the protocol without forcing only one way it could be used. ... -
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KOOM
KOOM is an OOM killer on mobile platform by Kwai
KOOM creates a mobile high-performance online memory monitoring solution， which supplies a detailed report when OOM-related problems are detected and has solved a large number of OOM issues in the Kwai application. It's currently available on Android. With the increasing complexity of mobile terminal business logic and the gradual popularity of scenarios with high memory requirements such as 4K codec and AR magic watch, the OOM problem has become the number one problem in the stability management of the Kuaishou client. ... -
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Encord Active
The toolkit to test, validate, and evaluate your models and surface
...Use the intuitive UI to explore your data or access all the functionalities programmatically. Discover errors, outliers, and edge-cases within your data - all in one open source toolkit. Get a high level overview of your data distribution, explore it by customizable quality metrics, and discover any anomalies. Use powerful similarity search to find more examples of edge-cases or outliers. -
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Flutter Vignettes
A collection of fun Flutter experiments, created by gskinner
...Examples include custom UI widgets, fluid animations, and interactive design concepts. The project is intended to inspire developers and demonstrate Flutter’s potential for building expressive, high-quality experiences. It’s not only a code resource but also a design showcase, blending engineering and artistry. By presenting small, focused experiments, flutter_vignettes encourages experimentation and learning while illustrating Flutter’s strengths in rapid UI prototyping. -
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MegEngine
Easy-to-use deep learning framework with 3 key features
MegEngine is a fast, scalable and easy-to-use deep learning framework with 3 key features. You can represent quantization/dynamic shape/image pre-processing and even derivation in one model. After training, just put everything into your model and inference it on any platform at ease. Speed and precision problems won't bother you anymore due to the same core inside. In training, GPU memory usage could go down to one-third at the cost of only one additional line, which enables the DTR... -
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Waifu2x GUI
An app that upscales anime-styled images, gifs, and videos
This is a GUI app that can upscale anime-styled images, gifs, and videos using waifu2x or Real-ESRGAN Anime. It aims to be simple to use, but you can access more advanced settings in the top bar. Upscaling videos and gifs will take a very long time without a high-end graphics card! The Real-ESRGAN Anime upscaler is much faster and gives better results than waifu2x, so it is recommended to use it instead. Real-ESRGAN only supports scale factors between 2-4, and all other waifu2x options are ignored. By setting the scale factor to 4x, it will use the slower Anime4x model but this gives better results, so it is recommended to upscale images at 4x when using Real-ESRGAN. ... -
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Responsively Lazy
Lazy load responsive images
...As of December 2017 that's 86.78%. Unsupported browsers will load the image in the src attribute. That's the image search engines and social networks will find, so it's better to make it high-resolution. -
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TEAMMATES Developer Web Site
This is the project website for the TEAMMATES feedback management tool
TEAMMATES is a free online tool for managing peer evaluations and other feedback paths of your students. It is provided as a cloud-based service for educators/students and is currently used by hundreds of universities across the world. -
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Ultralight
Lightweight, high-performance HTML renderer for game developers
Use our portable, WebKit-based SDK to effortlessly display modern web content everywhere. Available for desktop apps, game consoles, TVs, embedded device displays, servers, and more. Official API for C and C++, with bindings for more. Render web-content on the GPU via Direct3D, Metal, OpenGL, or your own engine for unmatched visual performance. Render web-content on the CPU via SIMD/parallel for incredibly easy integration with any environment (including server-side!). Ultralight is... -
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Erlava
Hobby programming language for application development
Erlava is a hobby programming language focusing on building applications fast and easily while still intergrating with the JVM. Erlava aims to provide developers with a versatile and efficient tool for crafting high-quality software. -
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HStreamDB
HStreamDB is an open-source, cloud-native streaming database
HStreamDB is an open-source, cloud-native streaming database for IoT and beyond. Modernize your data stack for real-time applications. By subscribing to streams in HStreamDB, any update of the data stream will be pushed to your apps in real-time, and this promotes your apps to be more responsive. You can also replace message brokers with HStreamDB and everything you do with message brokers can be done better with HStreamDB. HStreamDB provides built-in support for event time-based stream... -
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Alibi Explain
Algorithms for explaining machine learning models
Alibi is a Python library aimed at machine learning model inspection and interpretation. The focus of the library is to provide high-quality implementations of black-box, white-box, local and global explanation methods for classification and regression models. -
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Hasktorch
Tensors and neural networks in Haskell
Hasktorch is a powerful Haskell library for tensor computation and neural network modeling, built on top of libtorch (the backend of PyTorch). It brings differentiable programming, automatic differentiation, and efficient tensor operations into Haskell’s strongly typed functional paradigm. This project is in active development, so expect changes to the library API as it evolves. We would like to invite new users to join our Hasktorch discord space for questions and discussions....
