ethereum-emissions VS Workshops

Compare ethereum-emissions vs Workshops and see what are their differences.

ethereum-emissions

Estimating the daily energy usage for Ethereum. (by kylemcdonald)
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ethereum-emissions Workshops
2 1
75 355
- 0.3%
2.3 6.3
8 months ago 5 months ago
Jupyter Notebook Jupyter Notebook
MIT License MIT License
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.

ethereum-emissions

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

Workshops

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

What are some alternatives?

When comparing ethereum-emissions and Workshops you can also consider the following projects:

cybergift - Gift for Ethereum, Cosmos, Osmosis and Terra users that will maximize the initial usage of Cyber

tensor-house - A collection of reference Jupyter notebooks and demo AI/ML applications for enterprise use cases: marketing, pricing, supply chain, smart manufacturing, and more.

ethereum-economic-model - A modular dynamical-systems model of Ethereum's validator economics

it-salary-analysis - 💰 Analysis of Salaries in IT Roles: DevOps, Cyber Security, and AI

Network-Intrusion-Detection-Using-Machine-Learning - A Novel Statistical Analysis and Autoencoder Driven Intelligent Intrusion Detection Approach

artificial-self-AMLD-2020 - Workshop material for the AMLD 2020 workshop on "Meet your Artificial Self: Generate text that sounds like you"

nlpaug - Data augmentation for NLP

ZeroSync - A STARK proof to sync a Bitcoin full node in an instant.

100DaysOfML - 100 Days Of Machine Learning. New Content in every 1-2 day and projects every week. The massive 100DaysOfML in building

cybergift - 4+ million web3 agents eligible

imodels - Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).