Search Results for "high" - Page 11
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Showing 458 open source projects for "high"
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Error to trace to log to deploy. One click. No SSH.AppSignal links every error to the trace, the trace to the log, the log to the deploy that shipped it.
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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.... -
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RE/flex lexical analyzer generator
The regex-centric, fast lexical analyzer generator for C++
A C++ high-performance regex library and Flex-compatible lexical analyzer generator with full Unicode support, new indentation anchors, lazy quantifiers, and many other modern features. Accepts Flex lexer specification syntax and is compatible with Bison/Yacc parsers. Generates reusable source code that is easy to understand. Supports fast scanning of UTF-8/16/32 files, strings, and streams. -
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HighwayHash
Fast strong hash functions: SipHash/HighwayHash
...It’s designed to defeat hash-flooding attacks by mixing input with wide SIMD operations and a branch-free inner loop, so adversaries can’t cheaply craft many colliding keys. The implementation targets multiple CPU families with vectorized code paths while keeping a portable fallback, yielding high throughput across platforms. It exposes simple one-shot and streaming APIs, so you can hash short keys or long byte streams with the same function. Typical uses include protecting hash tables that store untrusted keys and authenticating short-lived messages or records in storage systems. Although not a replacement for collision-resistant digests like SHA-2/3, it strikes a pragmatic balance of speed, simplicity, and resistance to common abuse patterns seen in production backends. -
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IpWay/HOST free Tcp/Ip Stack Library
Real Time Tcp/Ip Stack Library
IpWay/HOST is a real time tcp/ip stack library designed for embedded applications on 32bit microcontrollers ARM and PPC based (STM32Fx, SPC56x, SPC57x, SPC58x), where execution efficiency and compact code are important requirements. IpWay/HOST is characterized by high portability, compact size, copyless feature (also for TCP applications) and Checksum offload. Moreover, IpWay offers a 100% compatibility with AUTOSAR MCAL versions 4.13 and 4.2.x. IpWayStudio is a free ARM development environment based on Open Source tools and components. It has been created in order to support the development of IpWay itself and is now available as a free download. ... -
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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Competent Audio
Machine graph audio engine for computer games
Competent Audio (CA) is an audio engine suitable for video games. It is written in C, but is designed for interoperability with other languages. Windows and Linux binaries for x86 and amd64 are available. CA uses a machine graph model with support for arbitrary numbers of machines, limited only by the available system resources: - Samplers play back audio clips. - Mixers combine audio signals and optionally perform signal processing. - Sinks send audio signals to an output... -
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Ada industrial control widget library
A GUI library for designing gauges, meters, oscilloscopes, plotters
A library that is intended for designing high-quality industrial control widgets for Ada applications. The widgets are composed of transparent layers drawn by cairo. The widgets are fully scalable graphics. A time controlled refresh policy is supported for real-time and heavy-duty applications. The library supports caching graphical operations and stream I/O for serialization and deserialization. -
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DocWire SDK
Award-winning modern data processing SDK in C++20
DocWire SDK, a standout C++20AI driven data processing tool, has received award from SourceForge and strong backing from Microsoft. It handles nearly 100 file types, empowering efficient text extraction, web data extraction, and document analysis. For businesses, the shift to DocWire SDK signifies a leap forward. It promises comprehensive document format support and the ability to extract valuable insights from email boxes, databases, and websites using cutting-edge AI. DocWire SDK aims to... -
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The C++ Advanced Runtime Library (CARL) is an alternative to the C/C++ standard libraries aiming at the high-level APIs and easy usage.
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Neural Tangents
Fast and Easy Infinite Neural Networks in Python
Neural Tangents is a high-level neural network API for specifying complex, hierarchical models at both finite and infinite width, built in Python on top of JAX and XLA. It lets researchers define architectures from familiar building blocks—convolutions, pooling, residual connections, and nonlinearities—and obtain not only the finite network but also the corresponding Gaussian Process (GP) kernel of its infinite-width limit. -
Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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Glumpy
Python+Numpy+OpenGL, scalable and beautiful scientific visualization
Glumpy is a Python library that simplifies the development of high-performance, interactive OpenGL visualizations. It abstracts complex OpenGL tasks into Pythonic constructs, making it easier for scientists, artists, and developers to harness the power of the GPU for real-time rendering and data visualization. Glumpy is particularly well-suited for rapid prototyping of graphical applications, and its integration with NumPy and shader programming makes it a powerful tool for both research and creative exploration. -
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libjpeg-turbo
SIMD-accelerated libjpeg-compatible JPEG codec library
...On other types of systems, libjpeg-turbo can still outperform libjpeg by a significant amount, by virtue of its highly-optimized Huffman coding routines. In many cases, the performance of libjpeg-turbo rivals that of proprietary high-speed JPEG codecs. libjpeg-turbo implements both the traditional libjpeg API as well as the less powerful but more straightforward TurboJPEG API. libjpeg-turbo also features colorspace extensions that allow it to compress from/decompress to 32-bit and big-endian pixel buffers (RGBX, XBGR, etc.), as well as a full-featured Java interface. -
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armorpaint
3D PBR Texture Painting Software
...ArmorPaint is designed from scratch to run completely on the GPU. This results in a smooth 4K painting experience on medium-power integrated hardware. Up to 16K texture painting is seamless using a high-end graphics card. Ray-traced baking, painting effects and viewport rendering feature running on Direct3D12 and Vulkan are in progress. ArmorPaint is powered by an in-house 3D rendering engine to achieve the best painting experience. -
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Dragonboat
A feature complete and high performance multi-group Raft library in Go
Dragonboat is a high-performance multi-group Raft consensus library in pure Go. Consensus algorithms such as Raft provides fault tolerance by allowing a system to continue to operate as long as the majority of member servers are available. For example, a Raft shard of 5 servers can make progress even if 2 servers fail. It also appears to clients as a single entity with strong data consistency always provided. -
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LMAX Disruptor
High performance inter-thread messaging library
LMAX aims to be the fastest trading platform in the world. Clearly, in order to achieve this we needed to do something special to achieve very low-latency and high-throughput with our Java platform. Performance testing showed that using queues to pass data between stages of the system was introducing latency, so we focused on optimising this area. The Disruptor is the result of our research and testing. We found that cache misses at the CPU-level, and locks requiring kernel arbitration are both extremely costly, so we created a framework which has "mechanical sympathy" for the hardware it’s running on, and that’s lock-free. ... -
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fastMRI
A large open dataset + tools to speed up MRI scans using ML
fastMRI is a large-scale collaborative research project by Facebook AI Research (FAIR) and NYU Langone Health that explores how deep learning can accelerate magnetic resonance imaging (MRI) acquisition without compromising image quality. By enabling reconstruction of high-fidelity MR images from significantly fewer measurements, fastMRI aims to make MRI scanning faster, cheaper, and more accessible in clinical settings. The repository provides an open-source PyTorch framework with data loaders, subsampling utilities, reconstruction models, and evaluation metrics, supporting both research reproducibility and practical experimentation. ... -
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PHP XLSX Writer
Lightweight XLSX Excel Spreadsheet Writer in PHP
A fast and memory-efficient PHP library for writing XLSX (Excel) files. It supports large datasets and is ideal for exporting tabular data without using high-level libraries like PHPExcel, providing an efficient alternative for lightweight data export. -
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iJEPA
Official codebase for I-JEPA
i-JEPA (Image Joint-Embedding Predictive Architecture) is a self-supervised learning framework that predicts missing high-level representations rather than reconstructing pixels. A context encoder sees visible regions of an image and predicts target embeddings for masked regions produced by a slowly updated target encoder, focusing learning on semantics instead of texture. This objective sidesteps generative pixel losses and avoids heavy negative sampling, producing features that transfer strongly with linear probes and minimal fine-tuning. ... -
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Lacinia
GraphQL implementation in pure Clojure
...It allows you to define schemas with EDN or GraphQL IDL, resolve queries efficiently, and supports GraphQL capabilities like subscriptions and schema introspection. High-performance parser for GraphQL queries, built on Antlr4. Efficient and asynchronous query execution. Full support for GraphQL types, interfaces, unions, enums, input objects, and custom scalars. Full support for GraphQL subscriptions. Full support of inline and named query fragments. Full support for GraphQL Schema Introspection. -
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ui-box
Blazing Fast React UI Primitive
ui-box is a low-level React UI primitive library that provides a simple and performant way to build styled components using a CSS-in-JS approach. Instead of relying on traditional CSS files or complex styling systems, ui-box allows developers to apply CSS properties directly through React props, making styling more intuitive and composable. The core concept revolves around a single Box component that can render different HTML elements while accepting a wide range of style-related properties.... -
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conc
Better structured concurrency for go
Conc is a Go library for managing structured concurrency, simplifying the development of concurrent applications with high performance. -
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Thrust
The C++ parallel algorithms library
Thrust is the C++ parallel algorithms library which inspired the introduction of parallel algorithms to the C++ Standard Library. Thrust's high-level interface greatly enhances programmer productivity while enabling performance portability between GPUs and multicore CPUs. It builds on top of established parallel programming frameworks (such as CUDA, TBB, and OpenMP). It also provides a number of general-purpose facilities similar to those found in the C++ Standard Library. -
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Alpa
Training and serving large-scale neural networks
Alpa is a system for training and serving large-scale neural networks. Scaling neural networks to hundreds of billions of parameters has enabled dramatic breakthroughs such as GPT-3, but training and serving these large-scale neural networks require complicated distributed system techniques. Alpa aims to automate large-scale distributed training and serving with just a few lines of code. -
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Learning Prompt
Free prompt engineering online course
Learning-Prompt is a curated repository of prompts, techniques, and instructional patterns designed to help people construct better prompts for AI systems, including generation, reasoning, and debugging tasks. It collects examples of effective prompt formats, chains of thought, strategy scaffolds, and comparative methods that help yield consistent, high-quality results. The project also includes meta-guidance: reflections on prompt failures, tips for prompt tuning, ways to mitigate model bias or misinterpretation, and how to adapt prompts for different AI capabilities. Because prompt design is a skill under continuous iteration, the repo encourages contributions of new prompt recipes, evaluations, and domain-specific adaptations. ... -
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Veldrid
A low-level, portable graphics library for .NET
Veldrid is a low-level, portable graphics library for .NET, providing a unified API over multiple graphics backends such as Direct3D, Vulkan, OpenGL, and Metal. It enables developers to write high-performance, cross-platform graphics applications without being tied to a specific graphics API. Veldrid is suitable for game development, simulations, and other applications requiring advanced graphics capabilities. -
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OpenGL Canvas
An Android library that provides views using openGL canvas
...Ideal for real-time graphics, games, or custom views, this project provides a fast and flexible alternative to Android’s software rendering without the need for a full game engine. It bridges the gap between low-level graphics APIs and high-level UI rendering.
