wesleyraptor/streamingphish
quality grade D, 36 out of 100Python-based utility that uses supervised machine learning to detect phishing domains from the Certificate Transparency log network.
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Tokenization, parsing, classical NLP pipelines, translation and information extraction.
Signals: nlp, natural-language-processing, tokenizer, named-entity-recognition, text-classification, machine-translation, sentiment-analysis, spacy
637 results
Python-based utility that uses supervised machine learning to detect phishing domains from the Certificate Transparency log network.
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Selected Machine Learning algorithms for natural language processing and semantic analysis in Golang
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A Naive Bayes machine learning implementation in Elixir.
text classification - no machine learning knowledge needed
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🤖 R package for detecting Twitter bots via machine learning
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Sentiment analysis using machine learning techniques.
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Integrating the Best of TF into PyTorch, for Machine Learning, Natural Language Processing, and Text Generation. This is part of the CASL project: http://casl-project.ai/
:mortar_board:RESEARCH [NLP :thought_balloon:] We use different feature sets and machine learning classifiers to determine the best combination for sentiment analysis of twitter.
Transformers PHP is a toolkit for PHP developers to add machine learning magic to their projects easily.
MALLET is a Java-based package for statistical natural language processing, document classification, clustering, topic modeling, information extraction, and other machine learning applications to text.
machine learning with logical rules in Python
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Machine learning for high frequency bitcoin price prediction
Machine Learning / Natural Language Processing / Information Retrieval
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