Search Results for "cpu memory usage" - Page 3
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Showing 211 open source projects for "cpu memory usage"
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Shumai
Fast Differentiable Tensor Library in JavaScript & TypeScript with Bun
Shumai is an experimental differentiable tensor library for TypeScript and JavaScript, developed by Facebook Research. It provides a high-performance framework for numerical computing and machine learning within modern JavaScript runtimes. Built on Bun and Flashlight, with ArrayFire as its numerical backend, Shumai brings GPU-accelerated tensor operations, automatic differentiation, and scientific computing tools directly to JavaScript developers. It allows seamless integration of machine... -
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Halide
A language for fast, portable data-parallel computation
...It was designed to make writing high-performance image and array processing code much easier on modern machines. It works on all major operating systems and with several CPU architectures (X86, ARM, MIPS, Hexagon, PowerPC) and GPU Compute APIs (CUDA, OpenCL, OpenGL, among others). It isn't a standalone programming language however; rather it is embedded in C++ which means that you write C++ code, building an in-memory representation of a Halide pipeline using Halide's C++ API. This representation can then be compiled to an object file, or a JIT-compile and run in the same process. ... -
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claude-code-best-practice
Practice made claude perfect
...By combining conceptual guidance with concrete examples and configuration patterns, the project helps teams move from experimental AI usage toward more production-ready agent orchestration. -
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waifu2x ncnn Vulkan
waifu2x converter ncnn version, run fast GPU with vulkan
ncnn implementation of waifu2x converter. Runs fast on Intel/AMD/Nvidia/Apple-Silicon with Vulkan API. waifu2x-ncnn-vulkan uses ncnn project as the universal neural network inference framework. -
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lru-cache
A fast cache that automatically deletes the least recently used items
node-lru-cache is a high performance in memory caching library for Node.js that automatically evicts the least recently used items when the cache reaches its size limit. It is designed to provide predictable memory usage while maintaining fast lookup and update operations. The library is widely used in server side JavaScript applications where efficient caching can significantly improve performance. -
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Eclipse Collections
Eclipse Collections is a collections framework for Java
...Many container types include immutable collections, primitive collections, bimaps, multimaps and bags. You can make use of various container types, leveraging handy factory methods for instantiation. Eclipse Collections provides a memory-efficient implementation of Sets and Maps as well as primitive collections. Check out the Eclipse Collections Kata, a fun way to help you learn idiomatic Eclipse Collections usage. This particular kata is set up as a series of unit tests that fail. Your task is to make them pass, using Eclipse Collections. -
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SDGym
Benchmarking synthetic data generation methods
...Choose from any of the SDV synthesizers and baselines. Or write your own custom machine learning model. In addition to performance and memory usage, you can also measure synthetic data quality and privacy through a variety of metrics. Install SDGym using pip or conda. We recommend using a virtual environment to avoid conflicts with other software on your device. -
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Honggfuzz
Security oriented software fuzzer
...The tool integrates tightly with sanitizers and can attach to already running processes, making it convenient for both white-box and black-box fuzzing. When it finds a crash, honggfuzz captures detailed context, minimizes the input, and can pin reproducibility by controlling CPU affinity and resource limits. Its small footprint and straightforward CLI make it easy to drop into CI or long-running campaigns across many cores. -
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VK-GL-CTS
Khronos Vulkan, OpenGL, and OpenGL ES Conformance Tests
...These tests are essential for vendors seeking certification, as they rigorously check the correctness and completeness of driver implementations against standardized behavior. The suite contains thousands of automated tests that assess rendering accuracy, API behavior, memory usage, and performance consistency. It is widely used by GPU vendors and developers to ensure compatibility, stability, and reliability across platforms and hardware. -
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quicktemplate
Fast, powerful, yet easy to use template engine for Go
quicktemplate is a fast and efficient templating engine for Go that generates code at compile time to render templates with minimal runtime overhead. Unlike traditional templating systems that interpret templates dynamically, Quicktemplate compiles templates into Go code, significantly improving performance. This approach eliminates the need for reflection and reduces memory allocations, making it suitable for high-performance applications. The library is designed to be simple and... -
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parallel-ssh
Asynchronous parallel SSH client library.
parallel-ssh is an asynchronous parallel SSH library designed for large-scale automation. It differentiates itself from alternatives, other libraries and higher-level frameworks like Ansible or Chef in several ways. -
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Wuffs
Wrangling Untrusted File Formats Safely
...The project ships battle-tested, CPU-friendly implementations for common image/container formats and bit-twiddly primitives like Huffman and checksum routines. Its standard library emphasizes portability and constant-time behavior where appropriate, which is valuable in security-sensitive contexts. Because the language is purpose-built, the resulting C output is small, auditable, and easy to embed in larger systems. -
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Text Search Engine
A text search engine that supports mixed Chinese and English search
Text-Search-Engine is a JavaScript-based lightweight search engine that enables full-text search functionality. It allows developers to implement fast search indexing and retrieval in web applications. -
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Laravel Chunk Upload
The basic implementation for chunk upload with multiple providers
Laravel Chunk Upload simplifies chunked uploads with support for multiple JavaScript libraries atop Laravel's file upload system, designed with a minimal memory footprint. Features include cross-domain request support, automatic cleaning, and intuitive usage. -
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Kubernetes Autoscaler
Autoscaling components for Kubernetes
...Supports several public cloud providers. Version 1.0 (GA) was released with kubernetes 1.8. Vertical Pod Autoscaler, a set of components that automatically adjust the amount of CPU and memory requested by pods running in the Kubernetes Cluster. Addon Resizer, a simplified version of vertical pod autoscaler that modifies resource requests of a deployment based on the number of nodes in the Kubernetes Cluster. -
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LangChainGo
LangChain for Go, the easiest way to write LLM-based programs in Go
...LangChainGo also includes support for embeddings, semantic search, and retrieval-augmented generation, enabling developers to build data-aware applications. With built-in abstractions for agents and tool usage, it enables the creation of systems that can reason, take actions, and interact with their environment. -
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Symfony VarExporter
Allows exporting any serializable PHP data structure to plain PHP code
Symfony VarExporter is a component that provides fast and safe serialization of PHP objects, especially those involving closures, services, or references. Unlike traditional serialize() or var_export(), VarExporter produces PHP code that can be re-evaluated safely and efficiently, which is useful in caching, dependency injection, and configuration scenarios. -
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GraphQL Flutter
A GraphQL client for Flutter, bringing all the features from GraphQL
A GraphQL client for Flutter, bringing all the features from a modern GraphQL client to one easy to use package. GraphQL brings many benefits, both to the client: devices will need fewer requests, and therefore reduce data usage. And to the programmer: requests are arguable, they have the same structure as the request. This project combines the benefits of GraphQL with the benefits of Streams in Dart to deliver a high-performance client. The project took inspiration from the Apollo GraphQL... -
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DGL
Python package built to ease deep learning on graph
Build your models with PyTorch, TensorFlow or Apache MXNet. Fast and memory-efficient message passing primitives for training Graph Neural Networks. Scale to giant graphs via multi-GPU acceleration and distributed training infrastructure. DGL empowers a variety of domain-specific projects including DGL-KE for learning large-scale knowledge graph embeddings, DGL-LifeSci for bioinformatics and cheminformatics, and many others. -
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XZ Utils
Open-source compression utility and library
...It provides both command-line tools and a reusable C library, enabling developers and system administrators to compress and decompress files efficiently across many environments. The project is known for delivering strong compression performance while maintaining reasonable memory usage, making it suitable for software distribution, backups, and archival workflows. xz is commonly included in Unix-like operating systems and is often used as a standard packaging format in Linux ecosystems. The toolkit supports streaming, multi-threaded operation, and integrity checking to ensure reliable data handling. Overall, xz serves as a foundational compression technology for modern open-source software distribution and storage optimization. -
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ArrayFire
ArrayFire, a general purpose GPU library
...Rigorous benchmarks and tests ensuring top performance and numerical accuracy. Cross-platform compatibility with support for CUDA, OpenCL, and native CPU on Windows, Mac, and Linux. Built-in visualization functions through Forge. -
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SIMD
C++ wrappers for SIMD intrinsics
...SIMD instructions allow a single operation to be applied to multiple data elements simultaneously, significantly accelerating numerical and data-parallel computations. However, differences across CPU architectures and compilers make direct usage complex, which xsimd addresses by offering a unified API that maps efficiently to underlying hardware capabilities. The library supports a wide range of instruction sets, including SSE, AVX, NEON, and WebAssembly SIMD, ensuring portability across platforms. It provides vectorized implementations of common mathematical operations, allowing developers to operate on batches of values using familiar syntax. xsimd is widely adopted in performance-critical applications. -
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SDWebImageSwiftUI
SwiftUI Image loading and Animation framework powered by SDWebImage
SDWebImageSwiftUI is a SwiftUI image-loading framework, which is based on SDWebImage. It brings all your favorite features from SDWebImage, like async image loading, memory/disk caching, animated image playback and performances. The framework provide the different View structs, which API match the SwiftUI framework guideline. If you're familiar with Image, you'll find it easy to use WebImage and AnimatedImage. Since SDWebImageSwiftUI is built on top of SDWebImage, it provide both the... -
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Sming
Open source framework simplifying the creation of C++ applications
Sming is an asynchronous embedded C/C++ framework with superb performance and multiple network features. Sming is open source, modular and supports multiple architectures including ESP8266 and ESP32. Superb performance and memory usage (Sming compiles to native firmware!) Fast and user-friendly development. Integrated host emulator to assist with developing, testing, and debugging libraries and applications on a PC before uploading them to an actual microcontroller. Built-in powerful wireless modules. Compatible with standard Libraries use popular hardware in a few lines of code. ... -
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NVTX (NVIDIA Tools Extension Library)
C-based Application Programming Interface (API)
...The API is written in C and includes wrappers for C++ and Python, making it accessible across different programming environments and workloads. NVTX is particularly valuable in high-performance computing and AI workloads where understanding concurrency, memory usage, and kernel execution is critical for optimization.
