orion
Asynchronous Distributed Hyperparameter Optimization. (by Epistimio)
awesome-experimental-standards-deep-learning
Repository collecting resources and best practices to improve experimental rigour in deep learning research. (by Kaleidophon)
| orion | awesome-experimental-standards-deep-learning | |
|---|---|---|
| 1 | 1 | |
| 287 | 27 | |
| 0.0% | - | |
| 7.4 | 2.0 | |
| about 1 year ago | almost 2 years ago | |
| Python | Python | |
| GNU General Public License v3.0 or later | 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.
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.
orion
Posts with mentions or reviews of orion.
We have used some of these posts to build our list of alternatives
and similar projects.
-
Git token, how to I encourage git to have me put in a username and password?
$ git remote show origin [email protected]:Epistimio/orion.git << SSH $ git remote show origin https://github.com/Epistimio/orion.git << HTTPs
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.
-
[P] Introducing confidenceinterval, the long missing python library for computing confidence intervals
Very neat! I will add this to https://github.com/Kaleidophon/experimental-standards-deep-learning-research :-)
What are some alternatives?
When comparing orion and awesome-experimental-standards-deep-learning you can also consider the following projects:
dreamerv2 - Mastering Atari with Discrete World Models
LiDAR-Guide - LiDAR Guide
ds2ai-python - The MLOps platform for innovators 🚀
software-papers - 📚 A curated list of papers for Software Engineers
aimet - AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.
yacs - YACS -- Yet Another Configuration System
nylon - An intelligent, flexible grammar of machine learning.
baybe - Bayesian Optimization and Design of Experiments
orion vs dreamerv2
awesome-experimental-standards-deep-learning vs LiDAR-Guide
orion vs ds2ai-python
awesome-experimental-standards-deep-learning vs software-papers
orion vs aimet
awesome-experimental-standards-deep-learning vs yacs
orion vs nylon
awesome-experimental-standards-deep-learning vs baybe