interesting-colabs VS dl-colab-notebooks

Compare interesting-colabs vs dl-colab-notebooks and see what are their differences.

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interesting-colabs dl-colab-notebooks
1 1
48 1,659
- -
3.6 0.0
9 months ago about 2 years ago
Jupyter Notebook Jupyter Notebook
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.

interesting-colabs

Posts with mentions or reviews of interesting-colabs. We have used some of these posts to build our list of alternatives and similar projects.

dl-colab-notebooks

Posts with mentions or reviews of dl-colab-notebooks. We have used some of these posts to build our list of alternatives and similar projects.
  • xQc's New TTS Summed Up
    1 project | /r/LivestreamFail | 5 Sep 2021
    Alright, thanks. I don't think I found uberduck's notebooks with a quick google but I did find this, will probably look at those at some point in time

What are some alternatives?

When comparing interesting-colabs and dl-colab-notebooks you can also consider the following projects:

blender-colab - Render Blender 4.x scenes with Google Colaboratory

Colab-Crypto-Mining - Cryptocurrency Mining Experiments on Google CoLab Notebooks

Julia-on-Colab - Notebook for running Julia on Google Colab

colabcat - :smiley_cat: Running Hashcat on Google Colab with session backup and restore.

machine-learning-asset-management - Machine Learning in Asset Management (by @firmai)

Real-ESRGAN-Video-Batch-Process - Upscale any number of videos using this colab notebook!

lama - 🦙 LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022

MyST-NB - Parse and execute ipynb files in Sphinx

Real-time-Object-Detection-for-Autonomous-Driving-using-Deep-Learning - My Computer Vision project from my Computer Vision Course (Fall 2020) at Goethe University Frankfurt, Germany. Performance comparison between state-of-the-art Object Detection algorithms YOLO and Faster R-CNN based on the Berkeley DeepDrive (BDD100K) Dataset.