REaLTabFormer
A suite of auto-regressive and Seq2Seq (sequence-to-sequence) transformer models for tabular and relational synthetic data generation. (by worldbank)
Annotated-ML-Papers
Annotations of the interesting ML papers I read (by shreyansh26)
REaLTabFormer | Annotated-ML-Papers | |
---|---|---|
5 | 1 | |
183 | 187 | |
5.5% | - | |
5.6 | 6.6 | |
11 days ago | 24 days ago | |
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.
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.
REaLTabFormer
Posts with mentions or reviews of REaLTabFormer.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-02-14.
-
World Bank Researchers Open Source REaLTabFormer: A Tabular and Relational Synthetic Data Generation Model
Quick Read: https://www.marktechpost.com/2023/02/21/world-bank-researchers-open-source-realtabformer-a-tabular-and-relational-synthetic-data-generation-model/ Paper: https://arxiv.org/pdf/2302.02041.pdf Github: https://github.com/avsolatorio/realtabformer
- REaLTabFormer: Generating realistic synthetic data using GPT in Python
- Show HN: REaLTabFormer – GPT-based synthetic data generator
- [R] [N] REaLTabFormer: Generating Realistic Relational and Tabular Data using Transformers
Annotated-ML-Papers
Posts with mentions or reviews of Annotated-ML-Papers.
We have used some of these posts to build our list of alternatives
and similar projects.
-
ELMo (Deep contextualized word representations) - Annotated Paper + Paper Summary
Annotated Paper - https://github.com/shreyansh26/Annotated-ML-Papers/blob/main/ELMo.pdf
What are some alternatives?
When comparing REaLTabFormer and Annotated-ML-Papers you can also consider the following projects:
ydata-synthetic - Synthetic data generators for tabular and time-series data
rust-bert - Rust native ready-to-use NLP pipelines and transformer-based models (BERT, DistilBERT, GPT2,...)
SkinDeep - Get Deinked!!
KoGPT - GPT-2 pretrained on Korean datasets.
tdk-demo - This is a collection of TDK demo projects that use different databases and options