handprint
colabctl
handprint | colabctl | |
---|---|---|
2 | 1 | |
157 | 247 | |
0.0% | - | |
0.0 | 0.0 | |
over 1 year ago | over 3 years ago | |
Python | Python | |
BSD 3-clause "New" or "Revised" License | GNU General Public License v3.0 only |
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handprint
- Python Testing 1
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Ask HN: What’s a good solution for handwriting recognition of messy handwriting?
I found an interesting solution from caltech: https://github.com/caltechlibrary/handprint
Also it seems the keyword to find models and apis for this is “handwritten text recognition.”
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.
awesome-colab-notebooks - Collection of google colaboratory notebooks for fast and easy experiments
iam-crnn-ctc-recognition - IAM Dataset Handwriting Recognition Using CRNN, CTC Loss, DeepSpeech Beam Search, And KenLM Scorer
Torrent-To-Google-Drive-Downloader-v3 - Simple notebook to stream torrent files to Google Drive using Google Colab and python3.
kraken - OCR engine for all the languages
glide-text2im-colab - Colab notebook for openai/glide-text2im.
pyspeedinsights - Measure your site speed, performance, accessibility and SEO in bulk from the command line with Python and the PageSpeed Insights API.
gcptree - Like the unix tree command but for GCP Org Heirarchy
GAM - command line management for Google Workspace [Moved to: https://github.com/GAM-team/GAM]
RNN-Twitter-Bot - 🤖✏️ A Twitter bot written in Python trained with a recurrent neural network.
amazon-textract-response-parser - Parse JSON response of Amazon Textract
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.