Search Results for "memory usage" - Page 4
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Showing 103 open source projects for "memory usage"
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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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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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text-dedup
All-in-one text de-duplication
...This is especially useful for NLP tasks where duplicated training data can skew model performance. text-dedup scales to billions of documents and offers tools for chunking, hashing, and comparing text efficiently with low memory usage. It supports Jaccard similarity thresholding, parallel execution, and flexible deduplication strategies, making it ideal for cleaning web-scraped data, language model training datasets, or document archives. -
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Odoo ERP CRM System For Local Intranets
Web,Sales,Finance,Inventory,Manufacture,HR,Marketing,Services,Efficacy
This VM is created for 2 reasons: 1. Very little initial setup work required to make a ERP live, within minutes. 2. This system should keep running for Years, without requiring Updates / Breakages. If you are new to Virtual Machines, then please watch the Video below ( taken from my other project. just replace td with ec wherever mentioned ) After starting this VM, please login to its administration panel with: Website Address: https://ec.local/ ( Accept Any Warnings ) Admin... -
Go from Code to Production URL in SecondsSkip the Kubernetes configs. Cloud Run handles HTTPS, scaling, and infrastructure automatically. Two million requests free per month.
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gpustat
A simple command-line utility for querying and monitoring GPU status
...It serves as a simplified alternative to the more verbose nvidia-smi tool by presenting key GPU metrics in a compact, developer-friendly format. The utility retrieves data through NVIDIA’s NVML bindings and displays information such as temperature, utilization, memory usage, and running processes directly in the terminal. Because it is easy to install via pip and requires minimal configuration, gpustat is widely used in machine learning environments, research clusters, and shared GPU servers. The tool also supports watch mode for continuous monitoring and JSON output for integration into automation pipelines. ... -
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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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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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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... -
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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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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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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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StackCollect
A server and database monitoring platform.
The StackCollect SCM is written in Python and is free to download, more advanced features can be purchased from StackCollect. Monitored Server Platforms Include: Windows Server 2012 R2 Monitored Database Platforms Include: PostgreSQL Microsoft SQL Server MariaDb MySQL -
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pykb
Python Killboard Platform for EVE Online
...Aggregates exist along with code to maintain them to enable high speed reports for summarized data. A point calculation system is included as is support for parsing German and Russian kill mail text. Caching exists in two forms, a basic in memory dict based caching system suitable for single process tasks and integration with uwsgi's powerful and fast built in cache. Utility modules are provided for adding in killmails, backfilling killmails and dumping them via the command line. These also serve as reusable code for web apps or at least as usage examples. A sample web app using pykb is included. -
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accel-ppp collectd plugin
Collectd plugin
Collectd python plugin for the Accel-PPP PPTP/L2TP/PPPoE server. -
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Syrupy is a Python script that regularly takes snapshots of the memory and CPU load of one or more running processes, so as to dynamically build up a profile of their usage of system resources.
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A simple graphical tool made in Python that can graph your current Nvidia GPU temperature, fan speeds, usage, and memory. (Chartable information varies between GPU models).
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Opticraft is a custom server for Classic Minecraft multiplayer developed in python. It makes use of no extra dependencies, it is not based off Myne, and requires python 2.6. It aims to be light weight as well as easy to setup and use.
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GTK client for LCDproc. The screens are optimized for 20x4 alphanumeric LCD and Logitech G15 LCD. It can show CPU stats, memory stats network stats, Amarok/Audacious/Exaile track info, uptime , date, clock, disk space usage and emesene information.
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pyramba - is a clone of karamba written in Python using PyKDE It makes your desktop interactive by showing system status information: CPU Usage,MP3 playing,Free Memory Amount