Jupyter Notebook data-augmentation

Open-source Jupyter Notebook projects categorized as data-augmentation

Top 6 Jupyter Notebook data-augmentation Projects

data-augmentation
  1. deltapy

    DeltaPy - Tabular Data Augmentation (by @firmai)

  2. SaaSHub

    SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives

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  3. drq

    DrQ: Data regularized Q

  4. tiger

    Open Source LLM toolkit to build trustworthy LLM applications. TigerArmor (AI safety), TigerRAG (embedding, RAG), TigerTune (fine-tuning) (by tigerlab-ai)

  5. Social_Distancing_with_AI

    Monitor people violating Social Distancing or not wearing Face Masks in public through CCTV footage.

  6. SmokeSim

    A simple smoke simulation tool that can be used as an augmentation.

  7. One-Piece-Image-Classifier

    A quick image classifier trained with manually selected One Piece images.

NOTE: The open source projects on this list are ordered by number of github stars. The number of mentions indicates repo mentiontions in the last 12 Months or since we started tracking (Dec 2020).

Jupyter Notebook data-augmentation discussion

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Jupyter Notebook data-augmentation related posts

  • How to upload large amounts of data to a server?

    1 project | /r/MLQuestions | 7 Sep 2022
  • Getting the most out of my data?

    1 project | /r/learnmachinelearning | 10 Mar 2022
  • Does mit 6.824 help for distributed deep learning?

    1 project | /r/deeplearning | 15 Jan 2022
  • How to effectively load a large text dataset with PyTorch?

    1 project | /r/datascience | 16 Oct 2021

Index

What are some of the best open-source data-augmentation projects in Jupyter Notebook? This list will help you:

# Project Stars
1 deltapy 557
2 drq 422
3 tiger 404
4 Social_Distancing_with_AI 61
5 SmokeSim 5
6 One-Piece-Image-Classifier 2

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