autocvd VS best-of-ml-python

Compare autocvd vs best-of-ml-python and see what are their differences.

autocvd

Tool to automatically set CUDA_VISIBLE_DEVICES based on GPU utilization. Usable from command line and code. (by jonasricker)
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autocvd best-of-ml-python
1 16
1 15,633
- 2.6%
4.4 7.8
11 months ago 5 days ago
Python Python
MIT License Creative Commons Attribution Share Alike 4.0
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.

autocvd

Posts with mentions or reviews of autocvd. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-05-16.

best-of-ml-python

Posts with mentions or reviews of best-of-ml-python. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-12-10.

What are some alternatives?

When comparing autocvd and best-of-ml-python you can also consider the following projects:

TransformerEngine - A library for accelerating Transformer models on NVIDIA GPUs, including using 8-bit floating point (FP8) precision on Hopper and Ada GPUs, to provide better performance with lower memory utilization in both training and inference.

Awesome-WAF - 🔥 Web-application firewalls (WAFs) from security standpoint.

g2eth - Get mining specs on given GPUs

ktrain - ktrain is a Python library that makes deep learning and AI more accessible and easier to apply

autocvd-go - A golang cli tool for setting `CUDA_VISIBLE_DEVICES` based on GPU utilization.

dtale - Visualizer for pandas data structures

foolbox - A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX

ffcv - FFCV: Fast Forward Computer Vision (and other ML workloads!)

Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials - A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Climate / Energy, Automotives, Retail, Pharma, Medicine, Healthcare, Policy, Ethics and more.

awesome-python - An opinionated list of awesome Python frameworks, libraries, software and resources.

d2l-en - Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

kmodes - Python implementations of the k-modes and k-prototypes clustering algorithms, for clustering categorical data