pyJoules VS learnergy

Compare pyJoules vs learnergy and see what are their differences.

pyJoules

A Python library to capture the energy consumption of code snippets (by powerapi-ng)
rapl intel-rapl energy-consumption Energy Python Power
Source Code
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learnergy

💡 Learnergy is a Python library for energy-based machine learning models. (by gugarosa)
Python Pytorch Machine Learning Energy Rbm dbn
Source Code
learnergy.readthedocs.io
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pyJoules learnergy
1 1
59 61
- -
0.0 5.4
about 1 year ago 7 months 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.

pyJoules

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

learnergy

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

What are some alternatives?

When comparing pyJoules and learnergy you can also consider the following projects:

s-tui - Terminal-based CPU stress and monitoring utility

govee_btled - A Python wrapper for controlling a cheap Bluetooth RGB light bulb.

python - Official Python client library for kubernetes

pytorch-lightning - Build high-performance AI models with PyTorch Lightning (organized PyTorch). Deploy models with Lightning Apps (organized Python to build end-to-end ML systems). [Moved to: https://github.com/Lightning-AI/lightning]

TheAlgorithms - All Algorithms implemented in Python

gridstatus - Extract data from ISOs and other energy grid sources

freqbench - Comprehensive CPU frequency performance/power benchmark

Ray - Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

auto-cpufreq - Automatic CPU speed & power optimizer for Linux

mscs-thesis-project - Evaluating Languages for Bioinformatics: Performance, Expressiveness and Energy

pyJoules vs s-tui learnergy vs govee_btled pyJoules vs python learnergy vs pytorch-lightning pyJoules vs TheAlgorithms learnergy vs gridstatus pyJoules vs freqbench learnergy vs Ray pyJoules vs auto-cpufreq pyJoules vs mscs-thesis-project