Search Results for "cpu performance meter" - Page 8
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Showing 516 open source projects for "cpu performance meter"
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model2Vec
Fast State-of-the-Art Static Embeddings
model2vec is an innovative embedding framework that converts large sentence transformer models into compact, high-speed static embedding models while preserving much of their semantic performance. The project focuses on dramatically reducing the computational cost of generating embeddings, achieving significant improvements in speed and model size without requiring large datasets for retraining. By using a distillation-based approach, it can produce lightweight models that run efficiently on... -
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WGCLOUD
Visibility into servers, applications, and infrastructure
...Built on a Spring Boot microservices foundation with an agent-server model, the system emphasizes rapid deployment, minimal configuration overhead, and automated operation for large-scale environments. It collects extensive host metrics such as CPU usage, temperature, memory utilization, disk performance, network throughput, and hardware health while also supporting monitoring of processes, containers, ports, and databases. The platform includes advanced operational capabilities such as web-based SSH access, batch command execution, and visual topology generation, making it more than a passive monitoring tool. wgcloud is intended for private, self-hosted deployments where organizations want full control over monitoring data without relying on external cloud services. -
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EC2Instances.info
Amazon EC2 instance comparison site
ec2instances is an open-source project that powers an intuitive, searchable comparison site for Amazon EC2 instance types, helping developers and cloud architects quickly evaluate compute options without the friction of navigating multiple AWS console screens. The site aggregates key metrics — including CPU, memory, storage, networking specs, and pricing — across many instance families, and lets users filter, sort, and visually compare configurations side by side. It was created to simplify decision-making for cloud provisioning, making it easier to choose the best instance type for performance and cost goals, and it’s maintained by the Vantage community to stay updated with current AWS offerings and user suggestions. ... -
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Core ML Tools
Core ML tools contain supporting tools for Core ML model conversion
...Core ML provides a unified representation for all models. Your app uses Core ML APIs and user data to make predictions, and to fine-tune models, all on the user’s device. Core ML optimizes on-device performance by leveraging the CPU, GPU, and Neural Engine while minimizing its memory footprint and power consumption. Running a model strictly on the user’s device removes any need for a network connection, which helps keep the user’s data private and your app responsive. -
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Triton Inference Server
The Triton Inference Server provides an optimized cloud
...Triton enables teams to deploy any AI model from multiple deep learning and machine learning frameworks, including TensorRT, TensorFlow, PyTorch, ONNX, OpenVINO, Python, RAPIDS FIL, and more. Triton supports inference across cloud, data center, edge, and embedded devices on NVIDIA GPUs, x86 and ARM CPU, or AWS Inferentia. Triton delivers optimized performance for many query types, including real-time, batched, ensembles, and audio/video streaming. Provides Backend API that allows adding custom backends and pre/post-processing operations. Model pipelines using Ensembling or Business Logic Scripting (BLS). HTTP/REST and GRPC inference protocols based on the community-developed KServe protocol. ... -
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Process Lasso
Process Lasso is Windows process automation and optimization software.
Process Lasso is a powerful Windows optimization tool that gives you real-time control over how applications use your CPU. Its ProBalance algorithm keeps your system responsive by automatically adjusting process priorities during heavy loads. You can create persistent rules for CPU affinities, priorities, power plans, and other settings to ensure apps always run the way you want. Advanced features like the CPU Limiter, Instance Balancer, and Watchdog rules offer deep automation for demanding... -
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bitnet.cpp
Official inference framework for 1-bit LLMs
bitnet.cpp is the official open-source inference framework and ecosystem designed to enable ultra-efficient execution of 1-bit large language models (LLMs), which quantize most model parameters to ternary values (-1, 0, +1) while maintaining competitive performance with full-precision counterparts. At its core is bitnet.cpp, a highly optimized C++ backend that supports fast, low-memory inference on both CPUs and GPUs, enabling models such as BitNet b1.58 to run without requiring enormous... -
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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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RLax
Library of JAX-based building blocks for reinforcement learning agents
...It supports both on-policy and off-policy learning, as well as value-based, policy-based, and model-based approaches. RLax is fully JIT-compilable with JAX, enabling high-performance execution across CPU, GPU, and TPU backends. The library implements tools for Bellman equations, return distributions, general value functions, and policy optimization in both continuous and discrete action spaces. It integrates seamlessly with DeepMind’s Haiku (for neural network definition) and Optax (for optimization), making it a key component in modular RL pipelines. -
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DoKit
A platform for the life cycle of pan-front-end product development
...Because it’s modular, teams can include only the subsystems relevant to their needs and disable others in production builds. The result is a rich, on-device observability layer that supports debugging performance, layout bug hunts, and UX tuning without deeply invasive instrumentation. -
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Coroot
Open-source observability for microservices
...Enable system observability in minutes, no code changes required. Each release is automatically compared with the previous one, so you'll never miss even the slightest performance degradation. With integrated Cost Monitoring, developers can track how each change affects their cloud bill. Understand your cloud costs down to any given application. Doesn't require access to your cloud account or any other configurations. Analyze any unexpected spike in CPU or memory usage down to the precise line of code. ... -
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cocoyaxi
A go-style coroutine library in C++11 and more
...It contains a series of high-quality base components, such as a go-style coroutine, coroutine-based network programming framework, command line, and config file parser, high-performance log library, unit testing framework, JSON library, etc. co has implemented a go-style coroutine, which has the following features. Multi-thread scheduling, the default number of threads is the number of system CPU cores. Shared stack, coroutines in the same thread share several stacks (the default size is 1MB), and the memory usage is low. ... -
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TensorFlow Model Garden
Models and examples built with TensorFlow
The TensorFlow Model Garden is a repository with a number of different implementations of state-of-the-art (SOTA) models and modeling solutions for TensorFlow users. We aim to demonstrate the best practices for modeling so that TensorFlow users can take full advantage of TensorFlow for their research and product development. To improve the transparency and reproducibility of our models, training logs on TensorBoard.dev are also provided for models to the extent possible though not all models... -
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tvm
Open deep learning compiler stack for cpu, gpu, etc.
Apache TVM is an open source machine learning compiler framework for CPUs, GPUs, and machine learning accelerators. It aims to enable machine learning engineers to optimize and run computations efficiently on any hardware backend. The vision of the Apache TVM Project is to host a diverse community of experts and practitioners in machine learning, compilers, and systems architecture to build an accessible, extensible, and automated open-source framework that optimizes current and emerging... -
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PyTorch Lightning
The lightweight PyTorch wrapper for high-performance AI research
Scale your models, not your boilerplate with PyTorch Lightning! PyTorch Lightning is the ultimate PyTorch research framework that allows you to focus on the research while it takes care of everything else. It's designed to decouple the science from the engineering in your PyTorch code, simplifying complex network coding and giving you maximum flexibility. PyTorch Lightning can be used for just about any type of research, and was built for the fast inference needed in AI research and... -
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Deep Java Library (DJL)
An engine-agnostic deep learning framework in Java
...Because DJL is deep learning engine agnostic, you don't have to make a choice between engines when creating your projects. You can switch engines at any point. To ensure the best performance, DJL also provides automatic CPU/GPU choice based on hardware configuration. -
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AIDA64 Extreme
AIDA64 Extreme: Ultimate PC diagnostics & system info tool
AIDA64 Extreme - The Ultimate System Diagnostics & Benchmarking Tool Unlock the full potential of your PC with AIDA64, the industry-leading system information, diagnostics, and benchmarking software. Trusted by PC enthusiasts, IT professionals, and overclockers, AIDA64 provides detailed insights into your hardware, software, and system performance. Optimize your device, troubleshoot issues, and push performance to the max. Why Choose AIDA64? - Comprehensive System Info: Get in-depth details on CPU, GPU, RAM, motherboard, and more. - Advanced Diagnostics: Identify hardware issues and monitor system health in real-time. - Benchmarking Power: Test CPU, GPU, and memory performance with accurate metrics... -
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POCO
Cross-platform C++ libraries for building network applications
The POCO C++ Libraries are powerful cross-platform C++ libraries for building network- and internet-based applications that run on desktop, server, mobile, IoT, and embedded systems. Whether building automation systems, industrial automation, IoT platforms, air traffic management systems, enterprise IT application and infrastructure management, security and network analytics, automotive infotainment and telematics, financial or healthcare, C++ developers have been trusting the POCO C++... -
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Tommy's Dockbar
A customizable dockbar with widgets
This is in early stages but so far we have a customizable dockbar that sits on either Top or Bottom of the screen. It acts like an actual dock and has animations kind of like RocketDock. I have included some widgets (Memory meter, CPU, etc..) and more will be coming in the future. The next version will allow you to make your own widgets to use with the dock. -
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xosview
X11 based performance meter
Xosview displays many system related stats such as cpu usage, memory usage, swap usage, network usage, interrupt activity, serial activity, load average and more inside of an X Window. Platforms: Linux, NetBSD, FreeBSD, OpenBSD, Dragonfly BSD, Solaris, GNU HURD, Minix, Windows/cygwin. http://xosview.sourceforge.net/ -
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...The real performance tests are: CPU / Compression test Filesystem test RAM write test All other sections provide system information, not performance measurements. 0) GENERAL SYSTEM INFO (Informational — no performance measurement) This section collects basic system information. Typical values: CPU model RAM size Kernel version Uptime Storage layout Kernel boot parameters Swap configuration
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AMD Ryzen Master
Master Utility for Overclocking Control
Control Your Processing Power. Every AMD Ryzen processor is multiplier-unlocked from the factory, so you can personalize performance to your taste. AMD provides the AMD Ryzen Master utility to access this powerful advantage. As AMD Ryzen Master has evolved to support an increasingly diverse set of CPU products and features, the user interface has also grown increasingly complex. We have redesigned and provided an intuitive user interface that provides access to the most essential features and telemetry. ... -
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ProcDump
Command-line utility for monitoring CPU spikes and crashes
ProcDump for Windows is a command-line Sysinternals utility designed to monitor applications and capture process dump files for troubleshooting. It is commonly used by administrators and developers to diagnose CPU spikes, crashes, hangs, and other application performance issues. The tool can automatically generate dumps when a process exceeds CPU, memory, or performance counter thresholds. ProcDump also supports monitoring for unhandled exceptions, hung windows, DLL activity, and process termination events. With multiple dump types available, users can choose between mini, full, triage, MiniPlus, custom, callback, and kernel dump options depending on their diagnostic needs. ... -
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OCCT
Ultimate stability testing for overclocked PC performance
OCCT (OverClock Checking Tool) is a powerful diagnostic software designed to test and monitor the stability of overclocked computer systems. It is widely used by PC enthusiasts and professionals to push hardware to its limits and ensure reliable performance under heavy loads. OCCT offers a range of stress tests for CPUs, GPUs, RAM, and power supplies, providing real-time metrics and alerts on temperatures, voltages, and system load. By simulating intensive workloads, OCCT helps identify... -
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powerMAX
powerMAX is a CPU and GPU burn-in test
powerMAX is a CPU and GPU burn-in tool designed to push your hardware to its absolute thermal and power limits. It helps users uncover stability issues, cooling weaknesses, and power delivery problems by applying maximum, sustained stress to both the processor and graphics card. The utility supports dedicated CPU tests—SSE or AVX—and a demanding GPU 3D rendering test, with the option to run both simultaneously for full-system power load evaluation.
