awesome-colab-notebooks
colabctl
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| awesome-colab-notebooks | colabctl | |
|---|---|---|
| 5 | 1 | |
| 1,205 | 247 | |
| - | - | |
| 5.3 | 0.0 | |
| 23 days ago | over 3 years ago | |
| Python | Python | |
| MIT License | GNU General Public License v3.0 only |
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awesome-colab-notebooks
- AI Chatbot learning resources
- Collection of colaboratory notebooks for fast and easy ML experiments
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I made this video without a camera, and 100% with machine learning based off of the song lyrics.
For example, I just googled and found this great repo of ML links specifically for colab, check it out! https://github.com/amrzv/awesome-colab-notebooks
- Text-to-Image recursive zoom
- StyleGAN2-ada
colabctl
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Schedule colab notebooks
I've been trying to automate running colab files. I've seen that you can do it through colabctl or using google cloud scheduler but the documentation is not very extense. Anyone wkoes how to do this in an easy way or have more resources about it.
What are some alternatives?
EasyOCR - Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
Torrent-To-Google-Drive-Downloader-v3 - Simple notebook to stream torrent files to Google Drive using Google Colab and python3.
generative-inpainting-pytorch - A PyTorch reimplementation for paper Generative Image Inpainting with Contextual Attention (https://arxiv.org/abs/1801.07892)
handprint - Apply different text recognition services to images of handwritten documents.
Fast-SRGAN - A Fast Deep Learning Model to Upsample Low Resolution Videos to High Resolution at 30fps
glide-text2im-colab - Colab notebook for openai/glide-text2im.
pix2pixHD - Synthesizing and manipulating 2048x1024 images with conditional GANs
gcptree - Like the unix tree command but for GCP Org Heirarchy
Speech-enhancement - Deep learning for audio denoising
RNN-Twitter-Bot - 🤖✏️ A Twitter bot written in Python trained with a recurrent neural network.
audio-plot-lib - This library provides graph sonification functions and has been developed for a project named "Data science and machine learning resources for screen reader users". Please refer to the project page for more details.