rtdl VS 100DaysofMLCode

Compare rtdl vs 100DaysofMLCode 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)

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: (by NishkarshRaj)
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rtdl 100DaysofMLCode
5 1
314 303
- -
8.9 0.0
about 2 years ago 9 months 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.

100DaysofMLCode

Posts with mentions or reviews of 100DaysofMLCode. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing rtdl and 100DaysofMLCode you can also consider the following projects:

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

100-Days-Of-ML-Code - 100 Days of ML Coding

pytorch-widedeep - A flexible package for multimodal-deep-learning to combine tabular data with text and images using Wide and Deep models in Pytorch

hdbscan - A high performance implementation of HDBSCAN clustering.

ArtLine - A Deep Learning based project for creating line art portraits.

rmi - A learned index structure

best_AI_papers_2021 - A curated list of the latest breakthroughs in AI (in 2021) by release date with a clear video explanation, link to a more in-depth article, and code.

vqgan-clip-generator - Implements VQGAN+CLIP for image and video generation, and style transfers, based on text and image prompts. Emphasis on ease-of-use, documentation, and smooth video creation.

tabnet - PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf

notebooks - Implement, demonstrate, reproduce and extend the results of the Risk articles 'Differential Machine Learning' (2020) and 'PCA with a Difference' (2021) by Huge and Savine, and cover implementation details left out from the papers.

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

GatedTabTransformer - A deep learning tabular classification architecture inspired by TabTransformer with integrated gated multilayer perceptron.