Did-Somebody-Say-Corgi
Image Synthesis + Corgis = <3 (by seawee1)
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)
| Did-Somebody-Say-Corgi | instagram-scraper | |
|---|---|---|
| 3 | 4 | |
| 87 | 497 | |
| - | - | |
| 0.0 | 0.0 | |
| over 2 years ago | about 1 year ago | |
| Jupyter Notebook | TypeScript | |
| - | - |
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.
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.
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AI-based corgi synthesis (x-post r/machinelearning)
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.
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[P] StyleGAN2-ADA trained on cute corgi images <3
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.
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StyleGAN2 model trained on images of corgis
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.
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.
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Intern advice
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.
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[P] StyleGAN2-ADA trained on cute corgi images <3
The scrapper I used was InstaTouch! :)
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Instagram archive
This instagram-scraper requires Node.js to run, as you can see here. Besides that, it shoud work without login.
What are some alternatives?
When comparing Did-Somebody-Say-Corgi and instagram-scraper you can also consider the following projects:
models - A collection of pre-trained, state-of-the-art models in the ONNX format
InstaLooter - Another API-less Instagram pictures and videos downloader.
DualStyleGAN - [CVPR 2022] Pastiche Master: Exemplar-Based High-Resolution Portrait Style Transfer
stylegan2-fun - Slight modifications to the official StyleGAN2 implementation
SatelliteCloudGenerator - A PyTorch-based tool to generate clouds for satellite images.
stylegan2-ada - StyleGAN2 with adaptive discriminator augmentation (ADA) - Official TensorFlow implementation