kraken
handprint
kraken | handprint | |
---|---|---|
2 | 2 | |
643 | 157 | |
- | 0.0% | |
9.1 | 0.0 | |
5 days ago | over 1 year ago | |
Python | Python | |
Apache License 2.0 | BSD 3-clause "New" or "Revised" License |
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.
kraken
- Kraken: Turn-key OCR system optimised for historical and non-Latin script
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Where should I learn first if I want to code my own bots?
just realise there are lots of pre-made open source packages for the exchanges. This one looks very robust: https://github.com/ccxt/ccxt So all the hard work has been done. I will warn you the learning curve is very steep and making a trading bot is in itself difficult and dangerous if there is a bug. Here's kraken's python script which is a stand alone program used to access their API, looks greek to me: https://github.com/mittagessen/kraken/blob/master/kraken/kraken.py
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.”
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.
colabctl - Google Colaboratory background/task executioner & controller.
tesseract-ocr - Tesseract Open Source OCR Engine (main repository)
benchmarks - Public dataset benchmarks used for measuring the performance of MindsDB.
iam-crnn-ctc-recognition - IAM Dataset Handwriting Recognition Using CRNN, CTC Loss, DeepSpeech Beam Search, And KenLM Scorer
flow-forecast - Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).
pyspeedinsights - Measure your site speed, performance, accessibility and SEO in bulk from the command line with Python and the PageSpeed Insights API.
igel - a delightful machine learning tool that allows you to train, test, and use models without writing code
GAM - command line management for Google Workspace [Moved to: https://github.com/GAM-team/GAM]
PdfPig - Read and extract text and other content from PDFs in C# (port of PDFBox)
amazon-textract-response-parser - Parse JSON response of Amazon Textract