Search Results for "cpu" - Page 23
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Showing 1450 open source projects for "cpu"
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Ship Agents FasterGemini Enterprise Agent Platform lets you rapidly build, scale, govern and optimize production-ready agents grounded in your organization's data. The platform enables developers to build custom or pre-built agents for virtually any use case. New customers get $300 in free credits.
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$300 Free Credits to Build on Google CloudStart your next project with $300 in free Google Cloud credit. Spin up VMs, run containers, query petabytes in BigQuery, or build agents with Gemini Enterprise Agent Platform. Once your credits are used, keep building with 20+ always-free tier products including Compute Engine, Cloud Storage, GKE, and Cloud Run functions. No commitment required—just sign up and start building.
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NSLadder
Ladder editor and debugger
NSLadder is a complete PLC manager based on the Ladder diagram, it generates code that can be directly assimilated by the PLC controller (arduino, raspberry, arm cpu....) NSLadder also allows simulation without a PLC connected Ladder is one of the best visual programming languages is a PLC programming language called ladder diagram (LD) or instructions list (IL). The main strength of lader is the visual representation that is more representative than most programming languages, so people often find it much easier to learn. ... -
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Xfl
An Efficient and Easy-to-use Federated Learning Framework
XFL is a lightweight, high-performance federated learning framework supporting both horizontal and vertical FL. It integrates homomorphic encryption, DP, secure MPC, and optimizes network resilience. Compatible with major ML libraries and deployable via Docker or Conda. -
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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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Ballast is a tool for balancing user load across SSH servers that supports user-specific policies as well as traditional policies based on metrics such as CPU load. It includes a simple client, a lightweight data server, and a data collection agent.
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Train ML Models With SQL You Already KnowBuild and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
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...(Disclaimer: Processing time depends on compute hardware) Typical processing time for 100mb .las is about 2 seconds. 25mb .laz file process in about the same times. Files are processed in parallel using available CPU cores. Pre-built Windows x64 installer available at https://buymeacoffee.com/nathancrews/e/255641
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TorchQuantum
A PyTorch-based framework for Quantum Classical Simulation
A PyTorch-based framework for Quantum Classical Simulation, Quantum Machine Learning, Quantum Neural Networks, Parameterized Quantum Circuits with support for easy deployments on real quantum computers. Researchers on quantum algorithm design, parameterized quantum circuit training, quantum optimal control, quantum machine learning, and quantum neural networks. Dynamic computation graph, automatic gradient computation, fast GPU support, batch model terrorized processing. -
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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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WeldForm
Weakly-Compressible SPH Parallel Solver for Thermo Mechanical problems
WeldForm SPH is a CPU based Smooth Particle Hydrodynamics solver applied to high deformation model metal forming and processes. Windows Binaries: https://sourceforge.net/projects/weldform/files/ GPU Version is under development here Has been adapted to work on both Linux and Windows system (both on MinGW and MSVC compilers). -
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SPM - Monitoring system
Monitoring Tool for your IT Environment
...With SPM Monitoring Systems, you can monitor your network, servers, applications, and services with ease, and receive timely alerts when issues arise. Host Availability Monitoring. Agent-Based Monitoring: CPU,RAM,Storage,Network,EventLogs etc. SNMP Monitoring. Web Site Monitoring. Notification System: E-Mail, SMS, Push, Telegram Bot (also control via telegram bot) and Sound Notifications. Logging. Web Console. Control by Telegram Bot. Agents for Windows and Linux. SPM Monitoring Systems is a reliable and efficient solution for monitoring your IT environment. ... -
99.99% Uptime for MySQL and PostgreSQL DatabasesCloud SQL Enterprise Plus delivers near-zero downtime with 35 days of point-in-time recovery. Supports MySQL, PostgreSQL, and SQL Server.
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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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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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SSD in PyTorch 1.0
High quality, fast, modular reference implementation of SSD in PyTorch
This repository implements SSD (Single Shot MultiBox Detector). The implementation is heavily influenced by the projects ssd.pytorch, pytorch-ssd and maskrcnn-benchmark. This repository aims to be the code base for research based on SSD. Multi-GPU training and inference: We use DistributedDataParallel, you can train or test with arbitrary GPU(s), the training schema will change accordingly. Add your own modules without pain. We abstract backbone, Detector, BoxHead, BoxPredictor, etc. You can... -
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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. By selectively loading and caching the required experts, the system avoids keeping the entire model in GPU memory at once. ... -
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Chinese-LLaMA-Alpaca 2
Chinese LLaMA-2 & Alpaca-2 Large Model Phase II Project
This project is developed based on the commercially available large model Llama-2 released by Meta. It is the second phase of the Chinese LLaMA&Alpaca large model project. The Chinese LLaMA-2 base model and the Alpaca-2 instruction fine-tuning large model are open-sourced. These models expand and optimize the Chinese vocabulary on the basis of the original Llama-2, use large-scale Chinese data for incremental pre-training, and further improve the basic semantics and command understanding of... -
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Luke StackWalker is a GUI-based C/C++ source code profiler for Windows. It samples your application's stack while the application is running to find out where the application spends most of its time.
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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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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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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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pipeless
A computer vision framework to create and deploy apps in minutes
...You can easily use industry-standard models, such as YOLO, or load your custom model in one of the supported inference runtimes. Pipeless ships some of the most popular inference runtimes, such as the ONNX Runtime, allowing you to run inference with high performance on CPU or GPU out-of-the-box. You can deploy your Pipeless application with a single command to edge and IoT devices or the cloud. -
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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,... -
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HPN-SSH is a series of performance patches for OpenSSH. By addressing network limitations and CPU limitations significant throughput performance can be realized. Gains of close to two orders of magnitude are possible on long fat network paths. The official git repo is now available at http://github.com/rapier1/openssh-portable. The Sourceforge repository should not be seen as the canonical repository for HPN-SSH. We will update it as we can but users should look to github to generate patches We also support Ubuntu packages. ...
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TensorFlow Addons
Useful extra functionality for TensorFlow 2.x maintained by SIG-addons
TensorFlow Addons is a repository of contributions that conform to well-established API patterns but implement new functionality not available in core TensorFlow. TensorFlow natively supports a large number of operators, layers, metrics, losses, and optimizers. However, in a fast-moving field like ML, there are many interesting new developments that cannot be integrated into core TensorFlow (because their broad applicability is not yet clear, or it is mostly used by a smaller subset of the... -
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inxi
inxi is a full featured CLI system information tool
Inxi is a powerful, full-featured command-line system information tool that aggregates hardware, software, and system metrics into a concise, human-readable format in terminal or IRC clients. Though development is archived, it remains available in many Linux/BSD repositories. Displays comprehensive system information including CPU, kernel version, uptime, memory, disk, processes, etc. Supports many command-line options (-A, -b, etc.) to customize output (audio, battery, network, etc.) Works in both console and IRC clients for remote system info sharing. Available in most Linux distribution repositories and supports BSDs. -
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PyAutoActions
GUI That Enables and Disables HDR Automatically for Added Processes.
Usage: Add Game exe path using button. Run Game and hdr will automatically be enabled at start and disabled when you close the game. To run PyAutoActions at startup right-click tray icon and enable Run on System Boot. To enable AutoHDR for unsupported games you can use ForceAutoHDR To address the issue of games requiring HDR to be enabled before launch a Game launcher from system tray have been implemented. When using ForceAutoHDR to force windows auto hdr, system hdr is... -
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SakOS
SakOS is a Lightweight, Easy to use, modern operating system.
...His brother Samaksh Khanna who is also a student, motivated him to Save the Soul of those dying hardware as part of their green computing drive. -This OS is capable of running smoothly on a PC with just 512mb of ram and a fairly old CPU. -This OS has both 32bit and 64bit versions. Video for steps of installation: https://youtu.be/V2F-Hx0B0tI Contact : sakos.saksham@gmail.com For updates and queries you may join the subreddit r/SakOS_support https://www.reddit.com/r/SakOS_support/
