Search Results for "linux memory" - Page 4
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Showing 1672 open source projects for "linux memory"
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Typecho Blogging Platform
A PHP blogging platform, simple and powerful
With only 7 data tables and less than 400KB of code, a complete plug-in and template mechanism is complete. Ultra-low CPU and memory usage is enough to give full play to the maximum performance of the host. Native support for Markdown typesetting syntax, easy to read and write. Support various cloud hosts such as BAE/GAE/SAE, even in the face of sudden high traffic, it can easily cope with it. The meticulously polished operation interface is still a familiar feature, but more mature... -
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Glaze
Extremely fast, in memory, JSON and interface library for modern C++
One of the fastest JSON libraries in the world. Glaze reads and writes from C++ memory, simplifying interfaces and offering incredible performance. Glaze also supports binary messages via BEVE and CSV support. And, the library has many more useful features for building APIs. -
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x-transformers
A simple but complete full-attention transformer
A simple but complete full-attention transformer with a set of promising experimental features from various papers. Proposes adding learned memory key/values prior to attending. They were able to remove feedforwards altogether and attain a similar performance to the original transformers. I have found that keeping the feedforwards and adding the memory key/values leads to even better performance. Proposes adding learned tokens, akin to CLS tokens, named memory tokens, that is passed through... -
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Fusion
A lightweight, self-hosted friendly RSS aggregator and reader
A lightweight RSS feed aggregator and reader. -
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JSON Parser
Zero-dependencies lazy parser to read JSON of any dimension
Zero-dependencies pull parser to read large JSON from any source in a memory-efficient way. -
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ChatLLM Web
Chat with LLM like Vicuna totally in your browser with WebGPU
Chat with LLM like Vicuna totally in your browser with WebGPU, safely, privately, and with no server. Powered By web-llm. To use this app, you need a browser that supports WebGPU, such as Chrome 113 or Chrome Canary. Chrome versions ≤ 112 are not supported. You will need a GPU with about 6.4GB of memory. If your GPU has less memory, the app will still run, but the response time will be slower. The first time you use the app, you will need to download the model. For the Vicuna-7b model that we... -
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HTTP Client
Async HTTP/1.1+2 client for PHP based on Amp
This package provides an asynchronous HTTP client for PHP based on Amp. Its API simplifies standards-compliant HTTP resource traversal and RESTful web service consumption without obscuring the underlying protocol. The library manually implements HTTP over TCP sockets; as such it has no dependency on ext/curl. Streams entity bodies for memory management with large transfers. Supports all standard and custom HTTP method verbs. Simplifies HTTP form submissions. Implements secure-by-default TLS... -
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Infer
A static analyzer for Java, C, C++, and Objective-C
Infer is a static analysis tool - if you give Infer some Java or C/C++/Objective-C code it produces a list of potential bugs. Anyone can use Infer to intercept critical bugs before they have shipped to users, and help prevent crashes or poor performance. Infer checks for null pointer exceptions, resource leaks, annotation reachability, missing lock guards, and concurrency race conditions in Android and Java code. Infer checks for null pointer dereferences, memory leaks, coding conventions... -
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FlatBuffers
Memory Efficient Serialization Library
FlatBuffers is an open source, cross-platform serialization library designed for maximum memory efficiency. Originally created at Google for game development and other performance-critical apps, FlatBuffers has the unique ability of allowing you to directly access serialized data without having to parse or unpack beforehand. Since the only memory needed to access your data is that of the buffer, it is also very memory efficient and fast. FlatBuffers supports Windows, MacOS, Linux... -
SKUDONET Open Source Load BalancerSKUDONET is designed to enhance service quality with advanced load balancing capabilities. Allowing scale your infrastructure effortlessly while maintaining unwavering data security, ensuring the continuity of your operations.
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FTLDNS
The Pi-hole FTL engine
Network-wide ad blocking via your own Linux hardware. FTLDNS (pihole-FTL) provides an interactive API and also generates statistics for Pi-hole®'s Web interface. Fast, stats are read directly from memory by coupling our codebase closely with dnsmasq. Versatile, upstream changes to dnsmasq can quickly be merged in without much conflict. Lightweight, runs smoothly with minimal hardware and software requirements such as Raspberry Pi Zero. Interactive, our API can be used to interface with your... -
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td
Telegram client, in Go. (MTProto API)
Telegram MTProto API client in Go for users and bots. -
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Kubeconform
A FAST Kubernetes manifests validator
Kubeconform is a Kubernetes manifest validation tool. Incorporate it into your CI, or use it locally to validate your Kubernetes configuration. -
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MegEngine
Easy-to-use deep learning framework with 3 key features
.... Gain the lowest memory usage when inferencing a model by leveraging our unique pushdown memory planner. NOTE: MegEngine now supports Python installation on Linux-64bit/Windows-64bit/MacOS(CPU-Only)-10.14+/Android 7+(CPU-Only) platforms with Python from 3.5 to 3.8. On Windows 10 you can either install the Linux distribution through Windows Subsystem for Linux (WSL) or install the Windows distribution directly. Many other platforms are supported for inference. -
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Dragonfly
A modern replacement for Redis and Memcached
Dragonfly is a drop-in Redis replacement that cuts costs and boosts performance. Designed to fully utilize the power of modern cloud hardware and deliver on the data demands of modern applications, Dragonfly frees developers from the limits of traditional in-memory data stores. The power of modern cloud hardware can never be realized with legacy software. Dragonfly is optimized for modern cloud computing, delivering 25x more throughput and 12x lower snapshotting latency when compared to legacy... -
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Apache Sedona
Cluster computing framework for processing large-scale geospatial data
... query workloads. According to our benchmark and third-party research papers, Sedona has 50% less peak memory consumption than other Spark-based geospatial data systems for large-scale in-memory query processing. Sedona offers Scala, Java, Spatial SQL, Python, and R APIs and integrates them into underlying system kernels with care. You can simply create spatial analytics and data mining applications and run them in any cloud environments. -
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SELKS
A Suricata based IDS/IPS/NSM distro
SELKS is a free and open source Debian-based IDS/IPS/Network Security Monitoring platform released under GPLv3 from Stamus Networks. SELKS can be installed via docker-compose on any Linux or Windows OS. Once installed it is ready to use out of the box solution. SELKS ISOs are also available for air-gapped environments or bare metal or VM installation. SELKS is a showcase of what Suricata IDS/IPS/NSM can do and the network protocol monitoring logs and alerts it produces. As such any and all data... -
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Likwid
Performance monitoring and benchmarking suite
Likwid is a simple to install and use toolsuite of command line applications and a library for performance oriented programmers. It works for Intel, AMD, ARMv8 and POWER9 processors on the Linux operating system. There is additional support for Nvidia and AMD GPUs. There is support for ARMv7 and POWER8/9 but there is currently no test machine in our hands to test them properly. -
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Tiny CUDA Neural Networks
Lightning fast C++/CUDA neural network framework
... memory in its default configuration. It will likely only work on an RTX 3090, an RTX 2080 Ti, or high-end enterprise GPUs. Lower-end cards must reduce the n_neurons parameter or use the CutlassMLP (better compatibility but slower) instead. tiny-cuda-nn comes with a PyTorch extension that allows using the fast MLPs and input encodings from within a Python context. These bindings can be significantly faster than full Python implementations; in particular for the multiresolution hash encoding. -
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GRR
GRR Rapid Response, remote live forensics for incident response
GRR Rapid Response is an incident response framework focused on remote live forensics. It consists of a python client (agent) that is installed on target systems, and python server infrastructure that can manage and talk to clients. The goal of GRR is to support forensics and investigations in a fast, scalable manner to allow analysts to quickly triage attacks and perform analysis remotely. GRR client is deployed on systems that one might want to investigate. On every such system, once... -
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s3fs
FUSE-based file system backed by Amazon S3
s3fs allows Linux, macOS, and FreeBSD to mount an S3 bucket via FUSE. s3fs preserves the native object format for files, allowing use of other tools like AWS CLI. Large subset of POSIX including reading/writing files, directories, symlinks, mode, uid/gid, and extended attributes. Compatible with Amazon S3, and other S3-based object stores. Allows random writes and appends, large files via multi-part upload, and renames via server-side copy. User-specified regions, including Amazon GovCloud... -
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Zephyr Project
Scalable, optimized, secure RTOS for multiple hardware architectures
The Zephyr Project is a new generation real-time operating system (RTOS) that supports multiple hardware architectures. It is based on a small-footprint kernel specially designed for use on resource-constrained and embedded systems. The Zephyr OS can be used for a wide range of applications: from simple embedded environmental sensors and LED wearables to sophisticated embedded controllers, smart watches, and IoT wireless applications. -
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LangGraph
Build resilient language agents as graphs
..., crucial for creating reliable agents. Additionally, LangGraph includes built-in persistence, enabling advanced human-in-the-loop and memory features. -
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whisper-timestamped
Multilingual Automatic Speech Recognition with word-level timestamps
Multilingual Automatic Speech Recognition with word-level timestamps and confidence. Whisper is a set of multi-lingual, robust speech recognition models trained by OpenAI that achieve state-of-the-art results in many languages. Whisper models were trained to predict approximate timestamps on speech segments (most of the time with 1-second accuracy), but they cannot originally predict word timestamps. This repository proposes an implementation to predict word timestamps and provide a more... -
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WasmEdge
Extensible WebAssembly runtime for cloud native applications
.... The runtime offers isolation and protection for operating system resources (e.g., file system, sockets, environment variables, processes) and memory space. The most important use case for WasmEdge is to safely execute user-defined or community-contributed code as plug-ins in a software product (e.g., SaaS, software-defined vehicles, edge nodes, or even blockchain nodes). It enables third-party developers, vendors, suppliers, and community members to extend and customize the software product. -
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Quantum++
Modern C++ quantum computing library
... in consideration were ease of use, high portability, and high performance. The library's simulation capabilities are only restricted by the amount of available physical memory. On a typical machine (Intel i5 8Gb RAM) Quantum++ can successfully simulate the evolution of 25 qubits in a pure state or of 12 qubits in a mixed state reasonably fast.