instagram-scraper VS Did-Somebody-Say-Corgi

Compare instagram-scraper vs Did-Somebody-Say-Corgi and see what are their differences.

instagram-scraper

Instagram Scraper. Scrape useful data/posts from instagram users, hashtag and locations pages. Comments and people who liked specific posts and soon more. No login or API keys are required (by drawrowfly)
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instagram-scraper Did-Somebody-Say-Corgi
4 3
497 87
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0.0 0.0
about 1 year ago over 2 years ago
TypeScript Jupyter Notebook
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instagram-scraper

Posts with mentions or reviews of instagram-scraper. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-03-13.
  • Intern advice
    1 project | /r/datascience | 27 Jan 2022
    Collect lots of Influencer Instagram data with a public API (like this https://github.com/drawrowfly/instagram-scraper). Collect media/post info, comment info, and scrape the bios of commenters. Target posts/influencers for a specific (relatively well known) product. Idk something like the Subaru #meetanowner campaign.
  • [P] StyleGAN2-ADA trained on cute corgi images <3
    4 projects | /r/MachineLearning | 13 Mar 2021
    The scrapper I used was InstaTouch! :)
  • Instagram archive
    4 projects | /r/DataHoarder | 27 Jan 2021
    This instagram-scraper requires Node.js to run, as you can see here. Besides that, it shoud work without login.

Did-Somebody-Say-Corgi

Posts with mentions or reviews of Did-Somebody-Say-Corgi. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-03-13.
  • AI-based corgi synthesis (x-post r/machinelearning)
    1 project | /r/corgi | 14 Mar 2021
    Have a look at the GitHub page for more information. You can use this Colab Notebook if you'd like synthesize your own corgi images or videos! You probably need some basic Python knowledge though.
  • [P] StyleGAN2-ADA trained on cute corgi images <3
    4 projects | /r/MachineLearning | 13 Mar 2021
    Have a look at my [GitHub page](https://github.com/seawee1/Did-Somebody-Say-Corgi) for more information. You'll also find all the links there, i.e. one to the dataset (eventhough I'm not sure if anybody would actually need such a dataset :D) and the model checkpoints.
  • StyleGAN2 model trained on images of corgis
    1 project | /r/MachineLearning | 13 Mar 2021
    It took quite some time to aquire and preprocess the high-resolution corgi dataset, and even more time to train the model using Colab Pro (~18 days). Have a look at my [https://github.com/seawee1/Did-Somebody-Say-Corgi](GitHub page) for more information. You can also play around with it using this Colab notebook.

What are some alternatives?

When comparing instagram-scraper and Did-Somebody-Say-Corgi you can also consider the following projects:

InstaLooter - Another API-less Instagram pictures and videos downloader.

models - A collection of pre-trained, state-of-the-art models in the ONNX format

stylegan2-fun - Slight modifications to the official StyleGAN2 implementation

DualStyleGAN - [CVPR 2022] Pastiche Master: Exemplar-Based High-Resolution Portrait Style Transfer

stylegan2-ada - StyleGAN2 with adaptive discriminator augmentation (ADA) - Official TensorFlow implementation

SatelliteCloudGenerator - A PyTorch-based tool to generate clouds for satellite images.