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https://github.com/rserran/python-tutorial-for-ipython#notebooks
https://github.com/rserran/python-tutorial-for-ipython#large-language-models-generative-ai-and-embeddings
Getting [MASK] probabilities from BERT (for Diffusion Models)https://github.com/rserran/python-tutorial-for-ipython/blob/master/notebooks/BERT_Reading_Probabilities.ipynb
Ollama Communication from Jupyter Notebookshttps://github.com/rserran/python-tutorial-for-ipython/blob/master/notebooks/ollama_test.ipynb
Anthropic / VoyageAI Embeddingshttps://github.com/rserran/python-tutorial-for-ipython/blob/master/notebooks/anthropic_vectors.ipynb
OpenAI Embeddingshttps://github.com/rserran/python-tutorial-for-ipython/blob/master/notebooks/openai_vectors.ipynb
BERT Embeddingshttps://github.com/rserran/python-tutorial-for-ipython/blob/master/notebooks/BERT_vectors.ipynb
Claude 3 Interaction using the Anthropic APIhttps://github.com/rserran/python-tutorial-for-ipython/blob/master/notebooks/claude3_test.ipynb
Claude 4 Interaction using the Anthropic APIhttps://github.com/rserran/python-tutorial-for-ipython/blob/master/notebooks/claude4_test.ipynb
GPT-4 interaction using the OpenAI APIhttps://github.com/rserran/python-tutorial-for-ipython/blob/master/notebooks/gpt4_test.ipynb
Gemini Communication via APIhttps://github.com/rserran/python-tutorial-for-ipython/blob/master/notebooks/gemini_test.ipynb
N-gram Model for Text Generationhttps://github.com/rserran/python-tutorial-for-ipython/blob/master/notebooks/N-gram%20Models%20for%20Language%20Models.ipynb
Tokenizers (Classical, WordPiece, BERT tokenizer, Byte Pair Encoding)https://github.com/rserran/python-tutorial-for-ipython/blob/master/notebooks/tokenizers.ipynb
https://github.com/rserran/python-tutorial-for-ipython#graph-databases-and-knowledge-graphs
Neo4j interactionhttps://github.com/rserran/python-tutorial-for-ipython/blob/master/notebooks/neo4j_query.ipynb
Allegro Graph examplehttps://github.com/rserran/python-tutorial-for-ipython/blob/master/notebooks/AllegroGraph_example.ipynb
RDFlib Graphshttps://github.com/rserran/python-tutorial-for-ipython/blob/master/notebooks/RDFlib_example.ipynb
YAGO Knowledge Graph Endpointhttps://github.com/rserran/python-tutorial-for-ipython/blob/master/notebooks/query_YAGO.ipynb
Virtuoso Graph Server Endpoint (triple store, SPARQL endpoint)https://github.com/rserran/python-tutorial-for-ipython/blob/master/notebooks/virtuoso_server.ipynb
Processing IAB Taxonomieshttps://github.com/rserran/python-tutorial-for-ipython/blob/master/notebooks/Process_IAB_Taxonomies.ipynb
Converting SEC CIKs to a Knowledge Graphhttps://github.com/rserran/python-tutorial-for-ipython/blob/master/notebooks/CIK_to_Graph.ipynb
https://github.com/rserran/python-tutorial-for-ipython#collecting-data
Pulling papers and meta-information from Arxivhttps://github.com/rserran/python-tutorial-for-ipython/blob/master/notebooks/arxiv_api_example.ipynb
Convert the Stanford Sentiment Treebank Data to CSVhttps://github.com/rserran/python-tutorial-for-ipython/blob/master/notebooks/Stanford_Sentiment_Treebank_Converter.ipynb
https://github.com/rserran/python-tutorial-for-ipython#text-classification
Simple Transformer-based Text Classificationhttps://github.com/rserran/python-tutorial-for-ipython/blob/master/notebooks/Transformers_example_simple_text_classification.ipynb
Bayesian Classification for Machine Learning for Computational Linguisticshttps://github.com/rserran/python-tutorial-for-ipython/blob/master/notebooks/Bayesian%20Classifier.ipynb
Scikit-learn Logistic Regression 1https://github.com/rserran/python-tutorial-for-ipython/blob/master/notebooks/Scikitlearn_logistic_regression.ipynb
Scikit-learn Logistic Regression 2https://github.com/rserran/python-tutorial-for-ipython/blob/master/notebooks/Scikitlearn_logistic_regression_2.ipynb
Simple Feed Forward Network 1https://github.com/rserran/python-tutorial-for-ipython/blob/master/notebooks/SimpleFeedForwardNetwork.ipynb
Simple Feed Forward Network 2https://github.com/rserran/python-tutorial-for-ipython/blob/master/notebooks/SimpleFeedForwardNetwork_2.ipynb
https://github.com/rserran/python-tutorial-for-ipython#nlp-pipelines
Stanza Tutorialhttps://github.com/rserran/python-tutorial-for-ipython/blob/master/notebooks/Stanza_tutorial.ipynb
https://github.com/rserran/python-tutorial-for-ipython#spacy-notebooks
spaCy Tutorialhttps://github.com/rserran/python-tutorial-for-ipython/blob/master/notebooks/spaCy%20Tutorial.ipynb
spaCy 3.x Tutorial: Transformers Spanishhttps://github.com/rserran/python-tutorial-for-ipython/blob/master/notebooks/spaCy%203.x%20Tutorial%20Transformers%20Spanish.ipynb
spaCy Named Entity Recognition Bootstrapping Modelhttps://github.com/rserran/python-tutorial-for-ipython/blob/master/notebooks/spaCy_NER_training.ipynb
spaCy Model from CoNLL Datahttps://github.com/rserran/python-tutorial-for-ipython/blob/master/notebooks/spaCy_CoNLL_Training.ipynb
Train spaCy Model for Marathi (mr)https://github.com/rserran/python-tutorial-for-ipython/blob/master/notebooks/Marathi/train_model.ipynb
Linear Algebra and Embeddings - spaCyhttps://github.com/rserran/python-tutorial-for-ipython/blob/master/notebooks/Embeddings_and_Vectors.ipynb
https://github.com/rserran/python-tutorial-for-ipython#nltk-notebooks
NLTK: Texts and Frequencies - N-gram models and frequency profileshttps://github.com/rserran/python-tutorial-for-ipython/blob/master/notebooks/Python%20NLTK%20-%20Texts%20and%20Frequencies.ipynb
Parsing with NLTKhttps://github.com/rserran/python-tutorial-for-ipython/blob/master/notebooks/Python%20Parsing%20with%20NLTK.ipynb
Parsing with NLTK and Fomahttps://github.com/rserran/python-tutorial-for-ipython/blob/master/notebooks/Python%20Parsing%20with%20NLTK%20and%20Foma.ipynb
Categorial Grammar Parsing in NLTKhttps://github.com/rserran/python-tutorial-for-ipython/blob/master/notebooks/Combinatory%20Categorial%20Grammar%20Parsing%20with%20NLTK.ipynb
Dependency Grammar in NLTKhttps://github.com/rserran/python-tutorial-for-ipython/blob/master/notebooks/Dependency%20Grammar%20in%20NLTK.ipynb
Document Classification Tutorial 1 - Amazon Reviewshttps://github.com/rserran/python-tutorial-for-ipython/blob/master/notebooks/Document%20Classification%20Tutorial.ipynb
WordNet using NLTKhttps://github.com/rserran/python-tutorial-for-ipython/blob/master/notebooks/Python%20WordNet%20using%20NLTK.ipynb
WordNet and NLTKhttps://github.com/rserran/python-tutorial-for-ipython/blob/master/notebooks/WordNet%20and%20NLTK.ipynb
Framenet in NLTKhttps://github.com/rserran/python-tutorial-for-ipython/blob/master/notebooks/NLTK_Framenet.ipynb
FrameNet Examples using NLTKhttps://github.com/rserran/python-tutorial-for-ipython/blob/master/notebooks/FrameNet%20Examples%20using%20NLTK.ipynb
PropBank in NLTKhttps://github.com/rserran/python-tutorial-for-ipython/blob/master/notebooks/NLTK_Propbank.ipynb
Machine Translation in Python 3 with NLTKhttps://github.com/rserran/python-tutorial-for-ipython/blob/master/notebooks/Machine%20Translation%20in%20Python%203%20with%20NLTK.ipynb
N-gram Models from Text for Language Modelshttps://github.com/rserran/python-tutorial-for-ipython/blob/master/notebooks/N-gram%20Models%20for%20Language%20Models.ipynb
Probabilistic Context-free Grammar (PCFG) Parsing using NLTKhttps://github.com/rserran/python-tutorial-for-ipython/blob/master/notebooks/PCFG%20Parsing%20with%20NLTK.ipynb
Python for Text Similarities 1https://github.com/rserran/python-tutorial-for-ipython/blob/master/notebooks/Python%20for%20Text%20Similarities.ipynb
https://github.com/rserran/python-tutorial-for-ipython#nlp-tools
Extracting Abbreviationshttps://github.com/rserran/python-tutorial-for-ipython/blob/master/notebooks/Abbreviations_extraction.ipynb
TextRank Examplehttps://github.com/rserran/python-tutorial-for-ipython/blob/master/notebooks/textrank_example.ipynb
https://github.com/rserran/python-tutorial-for-ipython#generic-notebooks
Python Tutorial 1: Part-of-Speech Tagging 1https://github.com/rserran/python-tutorial-for-ipython/blob/master/notebooks/Python%20Tutorial%20PoS%20Tagging.ipynb
Lexical Clusteringhttps://github.com/rserran/python-tutorial-for-ipython/blob/master/notebooks/Lexical%20Clustering.ipynb
Linear Algebrahttps://github.com/rserran/python-tutorial-for-ipython/blob/master/notebooks/Linear%20Algebra.ipynb
Neural Network Example with Kerashttps://github.com/rserran/python-tutorial-for-ipython/blob/master/notebooks/Neural%20Network%20Example%20with%20Keras.ipynb
Computing Finite State Automatahttps://github.com/rserran/python-tutorial-for-ipython/blob/master/notebooks/Non-Deterministic%20Automaton%20Computing.ipynb
Parallel Processing on Multiple Threadshttps://github.com/rserran/python-tutorial-for-ipython/blob/master/notebooks/Parallelization_Example.ipynb
Perceptron Learning in Pythonhttps://github.com/rserran/python-tutorial-for-ipython/blob/master/notebooks/Perceptron%20Learning%20in%20Python.ipynb
Clustering with Scikit-learnhttps://github.com/rserran/python-tutorial-for-ipython/blob/master/notebooks/Python%20Clustering%20with%20Scikit-learn.ipynb
Simple Language ID with N-gramshttps://github.com/rserran/python-tutorial-for-ipython/blob/master/notebooks/Python%20Language%20ID.ipynb
Support Vector Machine (SVM) Classifier Examplehttps://github.com/rserran/python-tutorial-for-ipython/blob/master/notebooks/Python%20SVM%20Classifier%20Example.ipynb
Scikit-Learn for Computational Linguistshttps://github.com/rserran/python-tutorial-for-ipython/blob/master/notebooks/Python%20Scikit-Learn%20for%20Computational%20Linguists.ipynb
Tutorial: Tokens and N-gramshttps://github.com/rserran/python-tutorial-for-ipython/blob/master/notebooks/Python%20Tokens%20and%20N-grams.ipynb
Tutorial 1: Part-of-Speech Tagging 1https://github.com/rserran/python-tutorial-for-ipython/blob/master/notebooks/Python%20Tutorial%20PoS%20Tagging.ipynb
Tutorial 2: Hidden Markov Modelshttps://github.com/rserran/python-tutorial-for-ipython/blob/master/notebooks/Python%20Tutorial%20HMM.ipynb
Word Sense Disambiguationhttps://github.com/rserran/python-tutorial-for-ipython/blob/master/notebooks/Python%20Word%20Sense%20Disambiguation.ipynb
Python examples and notes for Machine Learning for Computational Linguisticshttps://github.com/rserran/python-tutorial-for-ipython/blob/master/notebooks/Python%20examples%20and%20notes%20for%20Machine%20Learning%20for%20Computational%20Linguistics.ipynb
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