yacs VS awesome-experimental-standards-deep-learning

Compare yacs vs awesome-experimental-standards-deep-learning and see what are their differences.

Our great sponsors
  • InfluxDB - Power Real-Time Data Analytics at Scale
  • WorkOS - The modern identity platform for B2B SaaS
  • SaaSHub - Software Alternatives and Reviews
yacs awesome-experimental-standards-deep-learning
1 1
1,237 25
- -
0.0 2.0
about 2 years ago about 1 year ago
Python Python
Apache License 2.0 GNU General Public License v3.0 only
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.

yacs

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

awesome-experimental-standards-deep-learning

Posts with mentions or reviews of awesome-experimental-standards-deep-learning. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-03-11.

What are some alternatives?

When comparing yacs and awesome-experimental-standards-deep-learning you can also consider the following projects:

abcvoting - Python implementations of approval-based committee (multi-winner) voting rules

awesome-deep-learning-music - List of articles related to deep learning applied to music

PyForecastTools - Forecast Verification/Validation Tools in Python

awesome-recruitment - List of my favourite recruitment things 💫

LiDAR-Guide - LiDAR Guide

orion - Asynchronous Distributed Hyperparameter Optimization.

software-papers - 📚 A curated list of papers for Software Engineers

baybe - Bayesian Optimization and Design of Experiments