example-dvc-experiments
DVC Get Started Project with a focus on `dvc experiment` features. (by iterative)
papers-I-read
A-Paper-A-Week (by shagunsodhani)
example-dvc-experiments | papers-I-read | |
---|---|---|
1 | 1 | |
13 | 942 | |
- | - | |
0.0 | 0.0 | |
12 months ago | about 1 year ago | |
HTML | HTML | |
- | - |
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.
example-dvc-experiments
Posts with mentions or reviews of example-dvc-experiments.
We have used some of these posts to build our list of alternatives
and similar projects.
-
DVC (Git For Data): A Complete Intro
While working with DVC, we have to create two files dvc.yaml which contains information about the stages the ML pipeline will have and params.yaml which contains the parameters that different stages of the ML pipeline would use. You can take a look at the structure of both files on the example repository.
papers-I-read
Posts with mentions or reviews of papers-I-read.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-02-22.
-
👨‍🎓️📊 Data Scientist— 12 Steps From Beginner to Pro
It is simply impossible to keep track of all publications. The Reddit branches listed above will help to isolate the most important texts (since the author became the head of the AI ​​department at Tesla, the site began to break more often, but it’s still the best tool). There is also such a list of articles with comments and recordings of webinars from the YouTube channel Kaggle with parsing of scientific articles related to data science algorithms.
What are some alternatives?
When comparing example-dvc-experiments and papers-I-read you can also consider the following projects:
gradio - Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
REPL - The Learning Hub for UoL's Online CS Students
lela - Lela is a smart dietician who can help you to maintain diet and it also has Yoga posture detection feature where users can practice yoga at their home. https://lela-dietician.herokuapp.com
UBB-INFO - All projects from university.
awesome-public-datasets - A topic-centric list of HQ open datasets. [Moved to: https://github.com/awesomedata/awesome-public-datasets]
Awesome-Diffusion-Models - A collection of resources and papers on Diffusion Models