Reverse Dependencies of py-cpuinfo

The following projects have a declared dependency on py-cpuinfo:

• ReBench — Execute and document benchmarks reproducibly.
• redisbench-admin — Redis benchmark run helper. A wrapper around Redis and Redis Modules benchmark tools ( ftsb_redisearch, memtier_benchmark, redis-benchmark, aibench, etc... ).
• remote-log — A simple function to send logging data to a remote server.
• repro-eval — A tool to quantify the replicability and reproducibility of system-oriented IR experiments.
• reprobench — Reproducible Benchmark for Everyone
• reproducible — Reproducible library
• richfetch — A minimal and colorful fetch utility.
• ride — Training wheels, side rails, and helicopter parent for your Deep Learning projects using Pytorch
• roicat — A library for classifying and tracking ROIs.
• runpod — 🐍 | Python library for RunPod API and serverless worker SDK.
• rxls — Reading both XLSX and XLSB files, fast and memory-safe, into PyArrow.
• sabathdev — no summary
• sacred — Facilitates automated and reproducible experimental research
• sagemaker-ssh-helper — A helper library to connect into Amazon SageMaker with AWS Systems Manager and SSH (Secure Shell)
• scalib — Side-Channel Analysis Library
• sci-igm — Intelligence Guidance Manager for AI.
• sdeval — Evaluation for stable diffusion model training
• seamm — The core of the SEAMM environment and graphical interface.
• seamm-exec — Classes to execute background codes for SEAMM
• securetea — SecureTea
• sentinella — A Python agent based on Tourbillon for collecting OpenStack metrics and logs and store them into Sentinel.la
• shakenfist — Shaken Fist: an opinionated minimal cloud
• shapelets-rec-server — Python native bindings
• shows — no summary
• ShowSys — A simple package to get system spec information
• singletrader — a package for backtesting and factor analysis
• siste-test — HyperFetch. A tool to optimize and fetch hyperparameters for your reinforcement learning application.
• smart-data-science — Personal side project to streamline the most common tasks of data science solutions in an efficient manner. This project is based on my experience as a lead data scientist in the industry and financial services sectors, where I have gained expertise in delivering effective data-driven insights and solutions
• smarts — no summary
• snapper-ml — A framework for reproducible machine learning
• sot — System Oberving Tool
• souk — SO:UK Data Centre documentation.
• sportslabkit — A Python package for sports analytics.
• svim — A structural variant caller for long reads.
• syml-ultralytics — Ultralytics YOLO 🚀 for SOTA object detection, multi-object tracking, instance segmentation, pose estimation and image classification.
• SysAll — Tools to facilitate the use/manipulation of data in the Windows environment
• sysdash — System information utility
• sysfacts — Collect system information
• system-info — Package for finding system hardware specifications
• system-intelligence — Query your system for all hardware and software related information.
• system-query — Comprehensive and concise system information querying tool.
• systeminfo-python3 — A package that provides system information for your device.
• systracker — Real-time system statistics monitoring.
• tables — Hierarchical datasets for Python
• tabrec-v — tabrec-v
• taksonomia — Taxonomy (Finnish: taksonomia) of a folder tree, guided by conventions.
• tblu-module-so — Module Python for SO informations
• tbsync — Sync tools for tensorboard logs.
• tensorflow-ml — Tensorflow ML
• terminal-widgets — A fully functional program for Terminal to show information about system, display, shell, package and many more.
• tf-models-nightly — TensorFlow Official Models
• tf-models-no-deps — TensorFlow Official Models
• tf-models-official — TensorFlow Official Models
• TFOD-Automatic — Automated Object detection for Beginner using python and Tensorflow
• theos-ai — Theos
• tiptop — A better top
• titan-iris — no summary
• tlsfeatmark — a benchmark tool for Joy and Zeek
• toiro — A comparison tool of Japanese tokenizers
• torch-nos — Nitrous Oxide for your AI Infrastructure.
• tox-add-factor — Tox plugin to add factors
• translation-canvas — Translation Canvas - A tool for evaluating and visualizing machine translation models
• treevalue — A flexible, generalized tree-based data structure.
• triton-model-navigator — Triton Model Navigator: An inference toolkit for optimizing and deploying machine learning models and pipelines on the Triton Inference Server and PyTriton.
• turnkeyml — TurnkeyML Tools and Models
• UltraDetect — Customized Ultralytics YOLO for SOTA object detection, multi-object tracking, instance segmentation, pose estimation and image classification.
• ultralytics — Ultralytics YOLO 🚀 for SOTA object detection, multi-object tracking, instance segmentation, pose estimation and image classification.
• ultralytics-dev — Ultralytics YOLOv8 for SOTA object detection, multi-object tracking, instance segmentation, pose estimation and image classification.
• ultralytics-export-to-rknn — Ultralytics YOLOv8 for SOTA object detection, multi-object tracking, instance segmentation, pose estimation and image classification.
• ultralytics-nogui — Ultralytics YOLOv8 for SOTA object detection, multi-object tracking, instance segmentation, pose estimation and image classification.
• ultralytics-rknn — Ultralytics YOLOv8 for SOTA object detection, multi-object tracking, instance segmentation, pose estimation and image classification.
• ultralytics-v11 — Ultralytics YOLO for SOTA object detection, multi-object tracking, instance segmentation, pose estimation and image classification.
• ultralytics-yolov10-rknn — Ultralytics YOLOv8 for SOTA object detection, multi-object tracking, instance segmentation, pose estimation and image classification.
• ultralyticsheadless — Ultralytics YOLO 🚀 for SOTA object detection, multi-object tracking, instance segmentation, pose estimation and image classification.
• unmanic — A simple tool for optimising your video library to a single format
• veryfasttree — Efficient phylogenetic tree inference for massive taxonomic datasets
• visor-client — Visor CI is a snapshotting hypervisor designed to speed up tests
• vllm-xft — A high-throughput and memory-efficient inference and serving engine for LLMs
• vsensebox-ultralytics — Ultralytics YOLO for SOTA object detection, multi-object tracking, instance segmentation, pose estimation and image classification.
• vulkan-platform-py — no summary
• waffle-hub — Waffle hub
• webdriverdownloader2 — Python module and CLI tool for facilitating download and deploy of WebDriver binaries.
• wisteria — Python serializers comparisons
• xdcs-agent — no summary
• xtream — nstream streaming platform
• ymsyolo10 — Ultralytics YOLOv8 for SOTA object detection, multi-object tracking, instance segmentation, pose estimation and image classification.
• yolotext — no summary
• yolov8-pose-triton — Ultralytics YOLOv8 for SOTA object detection, multi-object tracking, instance segmentation, pose estimation and image classification.
• yolov8-rknn — Ultralytics YOLOv8 for SOTA object detection, multi-object tracking, instance segmentation, pose estimation and image classification.
• zipvehicle — no summary