Search Results for "cpu memory usage" - Page 6
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Showing 170 open source projects for "cpu memory usage"
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MAX StressTester
MAX StressTester: Python stress testing tool for max CPU, RAM and Disk
Disclaimer:im still working on this project please provide any feedback of bugs if you want :D helps me improve the experience for others. Also, windows might flag the exe file for a virus as it a python to exe file (might fix it later) this explains why it could be flagged as a virus on some virus detectors: https://s.id/1Cuk1 MAX StressTester is an open-source stress testing tool developed by ssit, available on the popular software development platform, SourceForge. The tool is... -
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KoboldAI
Your gateway to GPT writing
...No matter if you want to use the free, fast power of Google Colab, your own high end graphics card, an online service you have an API key for (Like OpenAI or Inferkit) or if you rather just run it slower on your CPU you will be able to find a way to use KoboldAI that works for you. -
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min(DALL·E)
min(DALL·E) is a fast, minimal port of DALL·E Mini to PyTorch
...The only third-party dependencies are numpy, requests, pillow and torch. The required models will be downloaded to models_root if they are not already there. Set the dtype to torch.float16 to save GPU memory. If you have an Ampere architecture GPU you can use torch.bfloat16. Set the device to either cuda or "cpu". Once everything has finished initializing, call generate_image with some text as many times as you want. Use a positive seed for reproducible results. Higher values for supercondition_factor result in better agreement with the text but a narrower variety of generated images. ... -
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Fairseq
Facebook AI Research Sequence-to-Sequence Toolkit written in Python
Fairseq(-py) is a sequence modeling toolkit that allows researchers and developers to train custom models for translation, summarization, language modeling and other text generation tasks. We provide reference implementations of various sequence modeling papers. Recent work by Microsoft and Google has shown that data parallel training can be made significantly more efficient by sharding the model parameters and optimizer state across data parallel workers. These ideas are encapsulated in the... -
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FastClicker
Autoclicker to set your dynamic cursor locations and number of clicks
An application with a predefined template to set your dynamic cursor locations or at a prespecified location. The maximum number of clicks can also be set. -
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miRPV
miRPV: An automated pipeline for miRNA Prediction and Validation in si
miRPV is an Automated tool that allows users to predict and validate microRNA from genome/gene sequence. System Requirement CPU: AMD64 (64bit) Memory: 2Gb RAM Storage: 5Gb Ubuntu 18.04 -
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BPYTOP
Linux/OSX/FreeBSD resource monitor
BPYTOP is a feature-rich, terminal-based resource monitor written in Python 3 that provides a highly visual overview of system performance. It displays real-time usage and statistics for CPU, memory, disks, network, and processes, with colorful graphs and widgets that update at configurable intervals. Users can drill into a process list, sort by various metrics, view tree hierarchies, and quickly spot heavy resource consumers. The tool is highly configurable through both an in-app options menu and a detailed configuration file, allowing customization of themes, update frequency, graph types, temperature sensors, and which “boxes” (CPU, memory, network, processes) are shown. ... -
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JumbleGame
A word puzzle game with a set of words scrambled.
A word puzzle game with a set of words, each of which is “jumbled” or scrambled. A solver answers the scrambled word with the correct word, and can also request for a hint -
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Forge Auto Clicker
Fully Customisable and Super Fast Free Auto Clicker. Free Updates.
Fully Customisable and Super Fast Free auto clicker. Fully-fledged with many modes of automatic clicking. Change click speed, cursor position, hotkeys and more with all settings saved. Forge Auto Clicker brings new, never seen before features to auto clicking. The AutoClicker is fully customizable with many useful functions as well as being easy to use, fast and free! As well as this, Forge Auto Clicker comes with no ads or malware making an amazing user experience! Use this... -
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CommanderPi
Easy RaspberryPi4 GUI system managment
Easy Raspberry Pi 4 GUI system manager. -
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speedtest-cli
Command line interface for testing internet bandwidth using speedtest
Command line interface for testing internet bandwidth using speedtest.net. It is not a goal of this application to be a reliable latency reporting tool. Latency reported by this tool should not be relied on as a value indicative of ICMP style latency. It is a relative value used for determining the lowest latency server for performing the actual speed test against. Speedtest CLI brings the trusted technology and global server network behind Speedtest to the command line. Measure internet... -
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AutoClicker ArmoMan
AutoClicker, reach hight CPS
ArmoMan autoclicker is an app that permits you to reach Hight Click per Second by only holding a key of your choice. You can customize the speed and also the key to start the clicks. It can be used in video games but only on your own purpose. We will not be responsible for a ban. Discord: https://discord.gg/GWKMPJ74 Tutorial: https://youtu.be/cyAETJRwSaI GitHub: https://github.com/Armdevelopper099/autoclicker After the download you can go to https://cpstest.org/ to test the app... -
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TextBrewer
A PyTorch-based knowledge distillation toolkit
...It includes various distillation techniques from both NLP and CV field and provides an easy-to-use distillation framework, which allows users to quickly experiment with the state-of-the-art distillation methods to compress the model with a relatively small sacrifice in the performance, increasing the inference speed and reducing the memory usage. -
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OpenAI Glow
Copy code in "Glow: Generative Flow with Invertible 1x1 Convolutions"
...The model is capable of producing high-quality synthetic images while maintaining interpretable latent spaces that enable meaningful manipulation of generated outputs. Glow’s architecture is based on reversible layers and efficient flow operations, which allow large-scale training while keeping memory usage manageable. The repository provides training code, pretrained models, and scripts for generating samples or reproducing key results from the original research. Glow is primarily intended for researchers and practitioners exploring generative modeling, likelihood-based training, and interpretable deep learning systems. -
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BPF Performance Tools
Official repository for the BPF Performance Tools book
BPF Performance Tools Book is the companion repository for Brendan Gregg’s book on Linux performance analysis using eBPF and BCC tracing technologies. The project contains scripts, examples, and reference material that demonstrate how to inspect kernel behavior, application performance, CPU usage, networking activity, file systems, and system bottlenecks in real time. It serves as both an educational resource and a practical toolkit for Linux engineers, SREs, and performance analysts working with modern observability workflows. The repository showcases how eBPF enables safe, low-overhead tracing directly inside the Linux kernel without requiring intrusive instrumentation. ... -
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Texar
Toolkit for Machine Learning, Natural Language Processing
Texar is a toolkit aiming to support a broad set of machine learning, especially natural language processing and text generation tasks. Texar provides a library of easy-to-use ML modules and functionalities for composing whatever models and algorithms. The tool is designed for both researchers and practitioners for fast prototyping and experimentation. Texar was originally developed and is actively contributed by Petuum and CMU in collaboration with other institutes. A mirror of this... -
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OpenSeq2Seq
Toolkit for efficient experimentation with Speech Recognition
OpenSeq2Seq is a TensorFlow-based toolkit for efficient experimentation with sequence-to-sequence models across speech and NLP tasks. Its core goal is to give researchers a flexible, modular framework for building and training encoder–decoder architectures while fully leveraging distributed and mixed-precision training. The toolkit includes ready-made models for neural machine translation, automatic speech recognition, speech synthesis, language modeling, and additional NLP tasks such as... -
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PyTorch Book
PyTorch tutorials and fun projects including neural talk
This is the corresponding code for the book "The Deep Learning Framework PyTorch: Getting Started and Practical", but it can also be used as a standalone PyTorch Getting Started Guide and Tutorial. The current version of the code is based on pytorch 1.0.1, if you want to use an older version please git checkout v0.4or git checkout v0.3. Legacy code has better python2/python3 compatibility, CPU/GPU compatibility test. The new version of the code has not been fully tested, it has been tested... -
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cnn-benchmarks
Benchmarks for popular CNN models
The cnn-benchmarks project is a collection of benchmarking scripts designed to evaluate the performance of convolutional neural networks across different hardware and configurations. It provides standardized implementations of popular CNN architectures, enabling developers to measure training speed, memory usage, and computational efficiency. The project focuses on reproducibility, allowing consistent comparisons between models and environments. It is particularly useful for testing GPUs and optimizing deep learning workloads, as it highlights bottlenecks and performance differences across setups. The repository includes scripts for running benchmarks on various architectures and datasets, making it easy to gather comparative metrics. ... -
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P3BSseq
Parallel processing pipeline for analysis of bisulfite sequencing data
Bisulfite sequencing (BSseq) processing is among the most cumbersome next generation sequencing (NGS) applications. Though some BSseq processing tools are available, they are scattered, require puzzling parameters and are running-time and memory-usage demanding. We have developed P3BSseq, a parallel processing pipeline for fast, accurate and automatic analysis of BSseq reads that trims, aligns, annotates, records the intermediate results, performs bisulfite conversion quality assessment, generates BED methylome and report files following the NIH standards. P3BSseq outperforms the known BSseq mappers regarding running time, computer hardware requirements. ... -
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Fulcon-VirtualPlatform
Fulcon can generate full OS environment to the container like the VM.
- It is container generable in the image of Docker (CentOS or Ubuntu image). - The generated container can be operated while maintaining it at a long term. - The resource of CPU, the memory, and IO of the container can be dynamically updated. - Arbitrary IPl address can be added and be deleted dynamically the container. - The package of two or more containers can be collectively updated from the host. -
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Yet Another Audio Feature Extractor is a toolbox for audio analysis. Easy to use and efficient at extracting a large number of audio features simultaneously. WAV and MP3 files supported, or embedding in C++, Python or Matlab applications.
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SAT-Assembler
Scalable and accurate targeted gene assembly for large-scale NGS data
SAT-Assembler is a scalable and accurate gene assembly tool for large-scale RNA-Seq and metagenomic data. It recovers genes from gene families of particular interest to biologists with high coverage, low chimera rate, and extremely low memory usage compared with exiting gene assembly tools. Moreover, it is naturally compatible with parallel computing platforms. -
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mysql2sqlite
converts mysql database to sqlite database using php, pdo or exe
...Includes two projects : A) A php script B) A windows executable, based on a python script Converts data, indexes and foreign key constraints. About the php script : -don't need a lot of memory -good speed Was projected to use on VDS/VPS. Usage: wget https://sourceforge.net/projects/mysql2sqlite/files/mysql2sqlite/download chmod +x mysql2sqlite ./mysql2sqlite About the Windows executable and the Python script : Usage : edit the in i file to fit your system, and just run the exe or the python script. -
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Nautic Radio Broadcast Console
Internet radio broadcast console / darkice frontend
Nautic Radio Broadcast Console is a darkice (shoutcast / icecast source client available at http://darkice.org/ ) frontend, that allows you to play jingles (audio samples), capture a webcam images to send to an FTP, chat with listeners (through an external webchat site) and monitor your audio and system (cpu, network) The program is developed, and used in production, for www.nauticradio.net / www.beatsnbreaks.nl and targeted at relatively old computers running linux. However it is not tested on many platforms, nor guaranteed to be stable. Minimum system requirements: CPU: 3 GHz pentium 4 or higher (preferably 2+ GHz dualcore), Memory: 1GB RAM or more, Diskspace: 10MB plus enough to record broadcasts in mp3.
