PyABSA VS 100DaysofMLCode

Compare PyABSA vs 100DaysofMLCode and see what are their differences.

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PyABSA 100DaysofMLCode
2 1
874 303
- -
5.1 0.0
1 day ago 9 months ago
Jupyter Notebook 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.

PyABSA

Posts with mentions or reviews of PyABSA. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-06-21.

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 PyABSA and 100DaysofMLCode you can also consider the following projects:

BERTopic - Leveraging BERT and c-TF-IDF to create easily interpretable topics.

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

MAPIE - A scikit-learn-compatible module for estimating prediction intervals.

hdbscan - A high performance implementation of HDBSCAN clustering.

FLAML - A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.

rmi - A learned index structure

SelSum - Abstractive opinion summarization system (SelSum) and the largest dataset of Amazon product summaries (AmaSum). EMNLP 2021 conference paper.

rtdl - Research on Tabular Deep Learning (Python package & papers) [Moved to: https://github.com/Yura52/rtdl]

tsai - Time series Timeseries Deep Learning Machine Learning Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai

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.

glasgow-litter - A project that explores the relationship between deprivation and litter in Glasgow City. 🚯

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.