Reverse Dependencies of pynvml

The following projects have a declared dependency on pynvml:

• a2 — Package for predicting information about the weather from social media data as application 2 for maelstrom project
• ablator — Model Ablation Tool-Kit
• ablator-ken-test — Model Ablation Tool-Kit
• ablator-ken-test2 — Model Ablation Tool-Kit
• ablator-ken-test3 — Model Ablation Tool-Kit
• ag-llama-api — ag_llama_api Test Package for Somthing
• ag-llama-api-s — ag_llama_api_s Test Package for Somthing
• ag-llama-hub — ag_llama_hub Test Package for Somthing
• ag-llama-hub-s — ag_llama_hub Test Package for Somthing
• ag-llama2-api-s — ag_llama2_api_s Test Package for Somthing
• ag-llama2-hub-s — ag_llama2_hub Test Package for Somthing
• airi-test-task — This library contains the code used to run a test job to AIRI.
• albe — Albe's helpers
• anemoi-training — A package to hold various functions to support training of ML models.
• atorch — A pytorch extension for efficient deep learning.
• autobiasdetector — tools for detecting bias patterns of LLMs
• AutoGGUF — automatically quant GGUF models
• axolotl — LLM Trainer
• azureml-acft-common-components — Basic implementation of common components and utility functions that can be used by all verticals (image/video/nlp/multi-modal).
• azureml-automl-dnn-vision — AutoML DNN Vision Models
• azureml-contrib-automl-dnn-vision — AutoML DNN Vision Models
• basenet-api — Basenet API: A simpler way to build ML models.
• batorch — 'batorch' is an extension of package torch, for tensors with batch dimensions.
• beam-ds — Beam Datascience package
• burst-tools — no summary
• caggpu — A GPU utility package for Coargus services.
• callisto-jupyter-d1 — Jupyter D1 Server for Callisto
• CarbonIQ — A Python package that monitors and tracks the carbon emissions of scripts and applications. It provides insights into the environmental impact of code by analyzing resource usage such as CPU, memory, disk I/O, network, and GPU utilization.
• carbontracker — Tracking and predicting the carbon footprint of training deep learning models.
• Cell-BLAST — Single-cell transcriptome querying tool
• cell-decipher — Spatial-omics data embedding and analysis
• clinicadl — Framework for the reproducible processing of neuroimaging data with deep learning methods
• clipsai — Clips AI is an open-source Python library that automatically converts long videos into clips
• codearth — Calculate your carbon emission !
• codecarbon — no summary
• codetrack — Calculate your carbon emission !
• coiled-runtime — Simple and fast way to get started with Dask
• combustion — Helpers for PyTorch model training/testing
• composer — Composer is a PyTorch library that enables you to train neural networks faster, at lower cost, and to higher accuracy.
• cubestat — Horizon chart in terminal for system monitoring
• cv2cuda — no summary
• dask-cuda — Utilities for Dask and CUDA interactions
• dask-cudf-cu12 — Utilities for Dask and cuDF interactions
• deepdriver — deepdriver experiments
• DeepMuon — Interdisciplinary Deep Learning Platform
• descript-audio-codec — A high-quality general neural audio codec.
• dlrover — An Automatic Distributed Deep Learning Framework
• dvclive — Experiments logger for ML projects.
• earth2studio — Open-source deep-learning framework for exploring, building and deploying AI weather/climate workflows.
• eco2ai — emission tracking library
• edubotics-core — Core modules for edubotics-based LLM AI chatbots
• efficient-linear-decoding — Efficient computation library for linear attention.
• eleuther-elk — Keeping language models honest by directly eliciting knowledge encoded in their activations
• energy-tracker — A Python package to track energy consumption and CO2 emissions for LLM models and other computational tasks.
• eqcctpro — no summary
• etool — A etool package for security monitoring
• expd — A framework for running computational experiments, powered by marimo notebooks
• experiment-scheduler — For whom needs easily usable multiple-experiment environment, here's experiment-scheduler
• eyeflow-sdk — Functions and classes for development of Eyeflow Applications
• fastutil — common python util
• fate-flow — no summary
• fedml-afaf — A research and production integrated edge-cloud library for federated/distributed machine learning at anywhere at any scale.
• fibad — no summary
• flaregun — Tiny PyTorch helper package to get stats on GPU usage, model params, etc.
• flgo — A Research-oriented FL Platform.
• flowdapt — A generalized framework for robust modular deployments of large-scale, real-time adaptive modeling on chaotic data.
• flowml — The machine learning components designed for use in Flowdapt.
• gai-lib — Refer to https://gai-labs.github.io/gai for more information
• gai-sdk — Refer to https://gai-labs.github.io/gai for more information
• genv — GPU environment and cluster management
• geo-inference — Extract features from geospatial imagery using deep learning models
• geotaichi — A Taichi-powered high-performance numerical simulator for multiscale geophysical problems
• getgpu — get idle gpu deivce.
• gom — Live GPU utilization monitor, inspired by nvidia-smi. Shows per-container GPU usage as well as total GPU usage.
• gorilla-core — ToolBox Package for Gorilla-Lab using PyTorch
• gpu-power-optimizer — Universal GPU power efficiency optimizer
• gpu-utilities — Small utility library for gpu selection
• gpu-wait — A package to run commands when GPU resources are available
• gpu4u — A Python Package for Automatically Monitoring & Occupying NVIDIA GPUs
• gpuctl — GPU contorl and failure notification/recovery
• gpugrab — get idle gpu deivce.
• gpugrap — get idle gpu deivce.
• gpuinfonv — A Python library for gathering and managing information about NVIDIA GPUs
• gpulink — A simple tool for monitoring and displaying GPU stats
• gpulurker — An interactive NVIDIA-GPU process viewer.
• gpuslot — Job submitter for gpus
• gpuv — gpu visualization
• grabgpu — get idle gpu deivce.
• ground-control-tui — A Python Textual app for monitoring VMs in the terminal
• gts-engine — git_engine development suite: a powerful NLU training system
• h2ogpt — no summary
• hanlp — HanLP: Han Language Processing
• heareval — Holistic Evaluation of Audio Representations (HEAR) 2021 -- Evaluation Kit
• Heimdallr — A package for hosting and connecting to a live dashboard
• hiq-python — HiQ - A Modern Observability System
• Hive-MAIA — Python Package to support Deep Learning data preparation, pre-processing. training, result visualization and model deployment across different frameworks (nnUNet, nnDetection, MONAI).
• HoloNet — Decoding functional cell–cell communication events by multi-view graph learning on spatial transcriptomics
• horde-engine — A wrapper around ComfyUI to allow use by AI Horde.
• hordelib — A thin wrapper around ComfyUI to allow use by AI Horde.
• hurricore — A deep learning framework based on PyTorch and Accelerate.