Reverse Dependencies of pynvml

The following projects have a declared dependency on pynvml:

• hypernets — An General Automated Machine Learning Framework
• igpu — A cross-platform module for retrieving information and stats on installed gpus.
• ImputeHiFI — no summary
• InternEvo — an open-sourced lightweight training framework aims to support model pre-training without the need for extensive dependencies
• ipyexperiments — jupyter/ipython experiment containers for GPU+CPU memory profiling, re-use and memory leaks detection.
• IslandOfMisfitToys — A suite of misfit functions to test FWI
• JuMonC — Jülich Monitoring and Control
• jumper-kernel — This is a Jupyter Python Kernel for performance engineering. Beside performance data as CPU, GPU, memory utilization it supports performance data recording with Score-P.
• jupyterlab-nvdashboard — A JupyterLab extension for displaying GPU usage dashboards
• kentoml — no summary
• kernel_tuner — An easy to use CUDA/OpenCL kernel tuner in Python
• kglab — A simple abstraction layer in Python for building knowledge graphs
• koila — Prevent PyTorch's `CUDA error: out of memory` in one line of code.
• learning-loop-node — Python Library for Nodes which connect to the Zauberzeug Learning Loop
• libzero — A zero-overhead library for PyTorch users.
• lightalg — lightalg
• lightbook — lightbook
• lightit — lightit
• lighttool — lighttool
• LLM-Mediator — Just a simple mediator for different LLM models.
• llmcompressor — A library for compressing large language models utilizing the latest techniques and research in the field for both training aware and post training techniques. The library is designed to be flexible and easy to use on top of PyTorch and HuggingFace Transformers, allowing for quick experimentation.
• llmcompressor-nightly — A library for compressing large language models utilizing the latest techniques and research in the field for both training aware and post training techniques. The library is designed to be flexible and easy to use on top of PyTorch and HuggingFace Transformers, allowing for quick experimentation.
• magnumnp — magnum.np finite-difference package for the solution of micromagnetic problems
• managpu — managpu: for choosing gpus
• manta-lab — A CLI and library for interacting with the Manta Engine.
• mbench — Simple Benchmarking Library.
• mbpy — no summary
• mecord-cli — mecord tools
• medspellchecker — Fast and effective spellchecker for Russian medical texts
• memoraith — Advanced lightweight model profiler for deep learning frameworks
• mgpus — List GPU processes and their memory usage
• miutil — Medical imaging utilities for the AMYPAD and NiftyPET projects
• ml-web-inference — A Python package for ML web inference using FastAPI
• mlchain — MLchain Python Library
• mlflow-pytorch-exp — Create a PyTorch project with MLflow boilerplate.
• modelwhaleutils — Used in modelwhale
• mosaicml — Composer is a PyTorch library that enables you to train neural networks faster, at lower cost, and to higher accuracy.
• mw-python-sdk — ModelWhale Python SDK
• mylib-maureen — my utils for cross-project use
• myylearn — An General Automated Machine Learning Framework
• naeural-core — Naeural Core is the backbone of the Naeural Edge Protocol.
• nanosense — A comprehensive package for solid state nanopore data analysis and visualization.
• nexus-deep-learning — A modular deep learning library for implementing AI research papers
• nlpaf — Implementation of different NLP tools.
• nugraph — NuGraph2: A Graph Neural Network for neutrino physics event reconstruction
• nvdsc — Nvidia Data Science Client Beta
• nvdsw — Nvidia Data Science Workbench
• nvgpu — NVIDIA GPU tools
• nvidia-tao-deploy — NVIDIA's package for deploying models from TAO Toolkit.
• nvselector — Auto selector for NVIDIA GPUs
• nvsmpy — Find unoccupied GPUs on multi-user systems
• nvstatsrecorder — NVStatsRecorder
• ocf-cli — OCF CLI
• oip-tracking-client — This is the API client of Open Innovation Platform - Tracking
• omicverse — OmicVerse: A single pipeline for exploring the entire transcriptome universe
• ood_detectors — no summary
• optimum-nvidia — Optimum Nvidia is the interface between the Hugging Face Transformers and NVIDIA GPUs. "
• oracle-of-ammon — CLI tool for creating Search APIs.
• parl — Reinforcement Learning Framework
• pc-perf — pc 进程性能测试平台，支持 windows / mac / linux 平台进程cpu、memory、fps（仅支持windows下OpenGL DirectX 引擎应用）、gpu、thread_num、handle_num 等指标的实时监控和可视化展示
• phenotools — A user-friendly tool for breeders to extract organ-level phenotypic traits from UAV imagery.
• pipelinex — PipelineX: Python package to build ML pipelines for experimentation with Kedro, MLflow, and more
• popari — Popari: a probabilistic graphical model for integrated spatial transcriptomics analysis
• power-watcher — Python3 context manager to log power consumption of any ML-pipeline running on a Nvidia-GPU.
• pseudo-py-listener — Real time speech to text
• py-listener — Real time speech to text
• py-nbtools — A collection of tools for using inside Jupyter Notebooks
• pyJoules — no summary
• pykoi — pykoi: Active learning in one unified interface
• pysystelbot — A Telegram bot that monitors system performance and sends updates.
• pytabkit — ML models + benchmark for tabular data classification and regression
• pytftk — A Python toolkit to develop deep learning models with TensorFlow.
• python-energy-monitor — A Python package to monitor energy consumption and CO2 emissions for LLM models and other computational tasks.
• python-pycg — PyCG: Toolbox for CG-related visualizations and computations
• pytorch-bench — torch benchmarking tool
• pyTorchAutoForge — PyTorchAutoForge library is based on raw PyTorch and designed automate DNN development, model tracking and deployment, tightly integrated with MLflow and Optuna. It supports Spiking networks libraries (WIP). Deployment can be performed using ONNx, pyTorch facilities or TensorRT (WIP). The library is designed to be compatible with Jetson Orin Nano Jetpack rev6.1, with bash script to automatically configure virtualenv.
• pyxllib — 厦门理工模式识别团队通用python代码工具库
• QuantumIntelligence — Developing quantum intelligence.
• rajo — Pytorch training utilities and models
• rllte-core — Long-Term Evolution Project of Reinforcement Learning
• run-crom — A package for training and testing CROM weights
• ryry-cli — ryry tools
• scAtlasVAE — scAtlasVAE: a deep learning framework for atlas-scale scRNA-seq integration and analysis
• sccross — Single cell multi-omics cross modal generation, multi-omics simulation and perturbation
• scglue — Graph-linked unified embedding for unpaired single-cell multi-omics data integration
• scslat — A graph deep learning based tool to align single cell spatial omics data
• seq-mutator — A toolbox for protein engineering and DNA shuffling
• siste-test — HyperFetch. A tool to optimize and fetch hyperparameters for your reinforcement learning application.
• snapccess — Ensemble deep learning of embeddings for clustering multimodal single-cell omics data
• stgraph — 🌟 Vertex Centric approach for building GNN/TGNNs
• sustainer — Keep GPU and CPU temperatures within given limit.
• SwanLab — Python library for streamlined tracking and management of AI training processes.
• takeoff-launcher — Takeoff Launcher package is a python cli tool that provides a simple interface to launch Takeoff container
• talisman-ie-ml-base — Talisman-IE ML base implementations
• together-cli — Together cli is a tool to help you join together computer
• together-worker — no summary
• torch-semiring-einsum — Extensible PyTorch implementation of einsum that supports multiple semirings
• torchfunction — This package is based on pytorch and try to provide a more user-friendly interface for pytorch.
• torchplus — This package is based on pytorch and try to provide a more user-friendly interface for pytorch.
• traceCarbon — no summary