rtdl VS ArtLine

Compare rtdl vs ArtLine and see what are their differences.

rtdl

Research on Tabular Deep Learning (Python package & papers) [Moved to: https://github.com/Yura52/rtdl] (by yandex-research)
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rtdl ArtLine
5 12
314 3,614
- 0.0%
8.9 1.4
about 3 years ago about 2 years ago
Python 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.

rtdl

Posts with mentions or reviews of rtdl. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-10-30.

ArtLine

Posts with mentions or reviews of ArtLine. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-04-25.

What are some alternatives?

When comparing rtdl and ArtLine you can also consider the following projects:

tab-transformer-pytorch - Implementation of TabTransformer, attention network for tabular data, in Pytorch

U-2-Net - The code for our newly accepted paper in Pattern Recognition 2020: "U^2-Net: Going Deeper with Nested U-Structure for Salient Object Detection."

rtdl-num-embeddings - (NeurIPS 2022) On Embeddings for Numerical Features in Tabular Deep Learning

DeOldify - A Deep Learning based project for colorizing and restoring old images (and video!)

100DaysofMLCode - My journey to learn and grow in the domain of Machine Learning and Artificial Intelligence by performing the #100DaysofMLCode Challenge. Now supported by bright developers adding their learnings :+1:

clip-retrieval - Easily compute clip embeddings and build a clip retrieval system with them

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Judoscale integrates with Django, FastAPI, Celery, and RQ to make autoscaling easy and reliable. Save big, and say goodbye to request timeouts and backed-up task queues.
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featured
InfluxDB high-performance time series database
Collect, organize, and act on massive volumes of high-resolution data to power real-time intelligent systems.
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the 2nd most popular programming language
based on number of references?