fastaugment VS nvitop

Compare fastaugment vs nvitop and see what are their differences.

fastaugment

A handy data augmentation toolkit for image classification put in a single efficient TensorFlow/PyTorch op. (by lnstadrum)
augmentation-transformations data-augmentation GPU Cuda mixup cutout brightness-correction gamma-correction perspective-distortions tensorflow-op
Source Code
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nvitop

An interactive NVIDIA-GPU process viewer and beyond, the one-stop solution for GPU process management. (by XuehaiPan)
Nvidia nvidia-smi monitoring-tool gpu-monitoring Curses Console GPU Top Cuda Process Monitoring resource-monitor nvml Command Line Tool Monitoring htop
Source Code
nvitop.readthedocs.io
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fastaugment nvitop
2 5
14 3,965
- -
5.3 7.3
about 1 month ago 9 days ago
Python Python
MIT License Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

fastaugment

Posts with mentions or reviews of fastaugment. We have used some of these posts to build our list of alternatives and similar projects.

nvitop

Posts with mentions or reviews of nvitop. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-03-12.

What are some alternatives?

When comparing fastaugment and nvitop you can also consider the following projects:

cupy - NumPy & SciPy for GPU

jetson_stats - 📊 Simple package for monitoring and control your NVIDIA Jetson [Orin, Xavier, Nano, TX] series

gpustat - 📊 A simple command-line utility for querying and monitoring GPU status

stable-diffusion-webui-directml - Stable Diffusion web UI

tmu - Implements the Tsetlin Machine, Coalesced Tsetlin Machine, Convolutional Tsetlin Machine, Regression Tsetlin Machine, and Weighted Tsetlin Machine, with support for continuous features, drop clause, Type III Feedback, focused negative sampling, multi-task classifier, autoencoder, literal budget, and one-vs-one multi-class classifier. TMU is written in Python with wrappers for C and CUDA-based clause evaluation and updating.

pg-counter-metrics - PG Counter Metrics ( PGCM ) is a tool for publishing PostgreSQL performance data to CloudWatch. By publishing to CloudWatch, dashboards and alarming can be used on the collected data.

gpu-operator - NVIDIA GPU Operator creates/configures/manages GPUs atop Kubernetes

pg_activity - pg_activity is a top like application for PostgreSQL server activity monitoring.

echo-random-walk - Display characters to the terminal along a random walk

FluxArchitectures.jl - Complex neural network examples for Flux.jl

nvx - Simple script running nvidia-settings based on your configured layout with anti tearing option

fastaugment vs cupy nvitop vs jetson_stats nvitop vs gpustat nvitop vs stable-diffusion-webui-directml nvitop vs tmu nvitop vs pg-counter-metrics nvitop vs gpu-operator nvitop vs pg_activity nvitop vs echo-random-walk nvitop vs FluxArchitectures.jl nvitop vs nvx