Search Results for "cpu memory usage" - Page 19
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Showing 955 open source projects for "cpu memory usage"
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Loggie
A lightweight, cloud-native data transfer agent and aggregator
...With sufficient resources for the Agent specification, modify the number of files collected, the concurrency of the sending client (configure Filebeat worker and Loggie parallelism), and observe their respective CPU, memory, and pod network card transmission rates. -
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...Overview REMON stands for Redis Multi-instance Monitoring and is software that monitors the status of the Redis database and supports convenience functions so that users can see at a glance whether Redis instances are operating normally. 2. Features 1) Matrix view: You can monitor Redis instances by grouping them. 2) Minimize CPU load: The Agent's CPU usage rate is less than 2%, causing very little load. 3) Threshold notification and quick confirmation: You can monitor important indicators and send notifications by setting the indicator threshold in the administrator menu threshold setting screen. 3. Community version 1) The version distributed through this project is the Community version and provides monitoring functions for one instance. 2) It is available for free for individual users only. 3) The copyright and patent of this software belong to CSree Co., Ltd., and modification, unauthorized reproduction, and redistribution are prohibited.
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Quarto Solver
Quarto Solver calculates optimal moves for Quarto and Quarto 2x2
You can calculate for every game state in Quarto and Quarto 2x2 an optimal move. -
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SLiMS Library Management System
Free & Open Community Edition Server in a Complete Virtual Machine
...If you are new to Virtual Machines, then please watch the Video below ( taken from my other project. just replace td with lm wherever mentioned ) After starting this VM, please access these websites ( Just Accept Any Warnings ) : Public Website Address: https://lm.local/ Staff Website Address: https://lm.local/index.php?p=login Staff Username: admin Staff Password: change_this from any PC on your Local Network. For better performance, Increase the CPU Count & Memory in the VM's Settings, as available on the physical machine. Backup the system regularly, to avoid any issues, as shown in the video below. Google Search helps in finding more about SLiMS Library Management Software. -
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AutoGPTQ
An easy-to-use LLMs quantization package with user-friendly apis
AutoGPTQ is an implementation of GPTQ (Quantized GPT) that optimizes large language models (LLMs) for faster inference by reducing their computational footprint while maintaining accuracy. -
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AMP Servers For Windows 32 Bit ( x86 )
Apache v2.4, MariaDB v10.4, PHP v8.1 With Automated Service Installers
Please watch the video below for a sample library software installation, which uses this same server. After watching / installing the services, you may copy your new application folder, to the C:\slims9-x86\httpd\htdocs directory and change the DocumentRoot value in the following files : 1. C:\slims9-x86\httpd\conf\httpd.conf 2. C:\slims9-x86\httpd\conf\extra\httpd-ssl.conf Restart the services for applying the new configuration. You may now access your install.php /... -
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Windows SLiMS Library Management Softwar
With an Automated Service Installer for Windows 32/64 Bit Versions
Just download the above zip file and extract it and follow the instructions shown in the video below. -
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puNES
Qt-based Nintendo Entertaiment System emulator and NSF/NSF2/NSFe Music
puNES is a highly accurate NES/Famicom emulator written in C++, with a focus on compatibility, cycle-accuracy, and faithful rendering of classic Nintendo hardware. It supports a wide range of mappers, has a robust set of debugging tools, and provides accurate audio and video emulation down to the scanline and pixel level. puNES is designed to run on multiple operating systems and includes a highly customizable interface with support for shaders, rewind, netplay, and recording features. It's... -
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kube-capacity
A simple CLI that provides an overview of the resource requests
...It attempts to combine the best parts of the output from kubectl top and kubectl describe into an easy-to-use CLI focused on cluster resources. By default, kube-capacity will output a list of nodes with the total CPU and Memory resource requests and limits for all the pods running on them. For clusters with more than one node, the first line will also include cluster-wide totals. -
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The System Load Tracker is a lightweight WPF application that monitors key system performance indicators in real-time. It includes CPU, GPU, VRAM, and RAM usage, as well as temperature readings. Designed for ease of use, it lets users monitor their computer's performance easily. Visit the project on Github: https://github.com/Schuischta/SystemLoadTracker
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Kindling
eBPF-based Cloud Native Monitoring Tool
Kindling is an eBPF-based cloud-native monitoring tool, which aims to help users understand the app behavior from kernel to code stack. With trace profiling, we hope the user can understand the application's behavior easily and find the root cause in seconds. Besides trace profiling, Kindling provides an easy way to get an overview of network flows in the Kubernetes environment and many built-in network monitor dashboards like TCP retransmit, DNS, throughput, and TPS. Not only as a network... -
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Skiplist-CPP
A tiny KV storage based on skiplist written in C++ language
Skiplist-CPP is a lightweight key-value storage engine implemented in C++ using a skip list as its core data structure. It showcases how a log-structured, ordered index can deliver fast inserts, lookups, and deletes while remaining simple to implement and reason about. The project supplies a compact codebase with a clear separation between the skip list implementation and the storage operations that use it. Beyond in-memory operations, it demonstrates persistence through data dump to disk... -
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Koha Library Management System
Free & Open Community Edition Server in a Complete Virtual Machine
...If you are new to Virtual Machines, then please watch the Video below ( taken from my other project. just replace td with koha wherever mentioned ) After starting this VM, please access these websites ( Just Accept Any Warnings ) : Public Website Address: https://koha.local Staff Website Address: https://koha.local:4430 Staff Username: staff Staff Password: change_this from any PC on your Local Network. For better performance, Increase the CPU Count & Memory in the VM's Settings, as available on the physical machine. Also, read the koha guidelines, given on the Wiki Page of this site, for choosing the right hardware resources. Backup the system regularly, to avoid any issues, as in the video. Google Search helps in finding more about Koha. -
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Mixtral offloading
Run Mixtral-8x7B models in Colab or consumer desktops
Mixtral-Offloading is an open-source project designed to enable efficient inference of large Mixture-of-Experts language models such as Mixtral-8x7B on hardware with limited GPU memory. The project implements techniques that allow model components to be dynamically moved between CPU memory and GPU memory during inference, significantly reducing the amount of GPU VRAM required to run the model. This approach takes advantage of the sparse activation properties of mixture-of-experts architectures, where only a subset of expert networks are used for each token during generation. ... -
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aria2
aria2 is a lightweight multi-protocol & multi-source download utility
...It supports HTTP/HTTPS, FTP, SFTP, BitTorrent and Metalink. aria2 can be manipulated via built-in JSON-RPC and XML-RPC interfaces. aria2 can download a file from multiple sources/protocols and tries to utilize your maximum download bandwidth. Really speeds up your download experience. aria2 doesn’t require much memory and CPU time. When disk cache is off, the physical memory usage is typically 4MiB (normal HTTP/FTP downloads) to 9MiB (BitTorrent downloads). CPU usage in BitTorrent with a download speed of 2.8MiB/sec is around 6%. aria2 supports The Metalink Download Description Format (aka Metalink v4), Metalink version 3, and Metalink/HTTP. Metalink offers the file verification, HTTP/FTP/SFTP/BitTorrent integration and various configurations for language, location, OS, etc. -
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OnnxStream
Lightweight inference library for ONNX files, written in C++
...Generally, major machine learning frameworks and libraries are focused on minimizing inference latency and/or maximizing throughput, all of which at the cost of RAM usage. So I decided to write a super small and hackable inference library specifically focused on minimizing memory consumption: OnnxStream. OnnxStream is based on the idea of decoupling the inference engine from the component responsible for providing the model weights, which is a class derived from WeightsProvider. A WeightsProvider specialization can implement any type of loading, caching, and prefetching of the model parameters. -
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Digital Forensics Guide
Learn all about Digital Forensics and Computer Forensics
The Digital Forensics Guide repository is a comprehensive, structured reference for investigators, analysts, students, and cybersecurity professionals interested in digital forensics principles, tools, methodologies, and workflows. It organizes foundational topics such as evidence acquisition, disk and memory analysis, file system structures, network forensics, artifact extraction, timeline generation, and reporting into digestible modules that help build core competency. Alongside... -
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SuperAGI
A dev-first open source autonomous AI agent framework
...Connect to multiple Vector DBs to enhance your agent’s performance. Each agent is unique, use different models of your choice. Get insights into your agent’s performance and optimize accordingly. Control token usage to manage costs effectively. Enable your agents to learn and adapt by storing their memory. Get notified when agents get stuck in the loop, and provide proactive resolution. Read and store files generated by Agents. -
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Punica
Serving multiple LoRA finetuned LLM as one
Punica is a system designed to efficiently serve multiple LoRA-fine-tuned large language models within a shared GPU environment. LoRA is a parameter-efficient fine-tuning method that allows developers to adapt large pretrained models to specific tasks by adding lightweight adapter layers rather than retraining the entire model. Punica introduces a serving architecture that allows multiple LoRA adapters to share the same base model during inference, significantly reducing memory consumption... -
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fanplayer
A portable video player based on ffmpeg for windows and android
...The player directly interfaces with platform-specific rendering APIs like Direct3D and AudioTrack, enabling efficient audio and video output. It supports a wide range of media formats and streaming protocols while maintaining low CPU and memory usage compared to traditional FFmpeg players. The architecture emphasizes synchronization accuracy, ensuring smooth playback and stable audio-video alignment. fanplayer also includes advanced playback controls such as variable speed and frame stepping. Overall, it serves as both a functional player and a reference implementation for building efficient multimedia applications. -
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Firefly LLM
A large model training tool that supports training large models
Firefly is an open-source framework designed to simplify the training and fine-tuning of large language models through a unified and configurable workflow. The project provides a comprehensive environment where developers can perform tasks such as model pre-training, instruction tuning, and preference optimization using widely adopted machine learning techniques. Its architecture supports both full-parameter training and parameter-efficient strategies like LoRA and QLoRA, making it suitable... -
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AIMi AI Aimbot
AIMi its an AI aimbot, it work by real-time object detection
...The project presents itself as a beta implementation, with current behavior depending heavily on processor performance, model accuracy, and screen conditions. It includes a simple object-detector interface so users can see how the system recognizes targets during testing. The repository describes a CPU-heavy version with limited GPU usage and notes plans for faster GPU-oriented improvements. Because it is designed around game targeting behavior, it should only be discussed and used in authorized, accessibility-focused, private, or noncompetitive environments. -
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Alpaca Electron
The simplest way to run Alpaca on your own computer
Alpaca Electron is built from the ground up to be the easiest way to chat with the alpaca AI models. No command line or compiling is needed. Only windows is currently supported for now. The new llama.Cpp binaries that support GGUF have not yet been built for other platforms. -
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gpu_poor
Calculate token/s & GPU memory requirement for any LLM
gpu_poor is an open-source tool designed to help developers determine whether their hardware is capable of running a specific large language model and to estimate the performance they can expect from it. The project focuses on calculating GPU memory requirements and predicted inference speed for different models, hardware configurations, and quantization strategies. By analyzing factors such as model size, context length, batch size, and GPU specifications, the system estimates how much VRAM... -
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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. With a single specification, you can compute NNGP and NTK kernels,...
