awesome-experimental-standards-deep-learning
Repository collecting resources and best practices to improve experimental rigour in deep learning research. (by Kaleidophon)
software-papers
📚 A curated list of papers for Software Engineers (by facundoolano)
| awesome-experimental-standards-deep-learning | software-papers | |
|---|---|---|
| 1 | 7 | |
| 25 | 3,848 | |
| - | - | |
| 2.0 | 6.7 | |
| about 1 year ago | about 1 month ago | |
| Python | Python | |
| GNU General Public License v3.0 only | 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.
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.
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 :-)
software-papers
Posts with mentions or reviews of software-papers.
We have used some of these posts to build our list of alternatives
and similar projects.
-
Looking for recommendations for academic papers in the computer science domain
https://github.com/facundoolano/software-papers has some interesting papers on software engineering
- 📚 A curated list of papers for Software Engineers
- facundoolano/software-papers: 📚 A curated list of papers for Software Engineers
- Papers for Software Engineers
- A curated list of papers for Software Engineers
What are some alternatives?
When comparing awesome-experimental-standards-deep-learning and software-papers you can also consider the following projects:
yacs - YACS -- Yet Another Configuration System
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.
baybe - Bayesian Optimization and Design of Experiments
awesome-experimental-standards-deep-learning vs yacs
awesome-experimental-standards-deep-learning vs awesome-deep-learning-music
awesome-experimental-standards-deep-learning vs PyForecastTools
awesome-experimental-standards-deep-learning vs awesome-recruitment
awesome-experimental-standards-deep-learning vs LiDAR-Guide
awesome-experimental-standards-deep-learning vs orion
awesome-experimental-standards-deep-learning vs baybe