NCRFpp
kraken
| NCRFpp | kraken | |
|---|---|---|
| 1 | 2 | |
| 1,877 | 643 | |
| - | - | |
| 0.0 | 9.1 | |
| almost 2 years ago | 2 days ago | |
| Python | Python | |
| Apache License 2.0 | Apache License 2.0 |
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NCRFpp
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Speech and Language Processing (3rd ed. draft)
They still talk about Hidden Markov Models (HMMs) in quite a bit of detail in the sequence labelling chapter, but you are quite right, Conditional Random Fields (CRFs) and especially neural network based CRFs are in the top rankings when it comes to named entity recognition (NER) and part-of-speech tagging (POS), e.g. see https://github.com/jiesutd/NCRFpp.
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
What are some alternatives?
zshot - Zero and Few shot named entity & relationships recognition
EasyOCR - Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
seqeval - A Python framework for sequence labeling evaluation(named-entity recognition, pos tagging, etc...)
tesseract-ocr - Tesseract Open Source OCR Engine (main repository)
Stanza - Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages
handprint - Apply different text recognition services to images of handwritten documents.
thinc - 🔮 A refreshing functional take on deep learning, compatible with your favorite libraries
benchmarks - Public dataset benchmarks used for measuring the performance of MindsDB.
SimpNet-Deep-Learning-in-a-Shader - A trainable convolutional neural network inside a fragment shader
flow-forecast - Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).
nn-morse - Decode morse using a neural network
igel - a delightful machine learning tool that allows you to train, test, and use models without writing code