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word-embeddings

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Dbafoto / Deep-Learning-Class-Codes

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🧠 Explore notebook codes for the Deep Learning course at Sapienza Università di Roma, enhancing your understanding of applied AI techniques.

nlp deep-neural-networks computer-vision word-embeddings recurrent-neural-networks neural-networks replay skipgram incremental-learning variational-autoencoder lifelong-learning ordinal-classification elastic-weight-consolidation replay-through-feedback generative-replay permuted-mnist split-cifar100 internal-replay
  • Updated Nov 13, 2025

vlada-pv / Prediction-Sociolinguistic-Data-Based-on-the-Diaries-Texts-of-the-Prozhito-Project

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The repository contains notebooks created for collecting and preprocessing the corpus of diary entries and for experiments on creating models for predicting gender, age groups of authors and the time period of text creation.

deep-learning word-embeddings recurrent-neural-networks naive-bayes-classifier neural-networks bag-of-words logistic-regression convolutional-neural-networks diary-entries sociolinguistics text-vectorization bilstm tf-idf-vectorizer text-preprocessing convol author-profiling
  • Updated Jun 12, 2024
  • Jupyter Notebook

swethagss / -Using-Pre-trained-Models-with-Hugging-Face

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In this notebook, we will explore how to use pre-trained transformer models from the Hugging Face library, focusing on making them work for Natural Language Processing (NLP) tasks. Pre-trained models, such as BERT (Bidirectional Encoder Representations from Transformers), are powerful tools that save us from training models from scratch

nlp word-embeddings bert huggingface-transformers
  • Updated Dec 31, 2024
  • Jupyter Notebook

Subangkar / Sequence-Models-Deeplearning.ai-Coursera-Assignments

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Notebooks of programming assignments of Sequence Models course of deeplearning.ai on coursera in May-2020

word2vec word-embeddings language-modeling lstm rnn neural-machine-translation rnn-model sequence-models coursera-assignment attention-model brnn andrew-ng-course deeplearning-ai character-level-language-model trigger-word-detection lstm-sentiment-classification emojify-text
  • Updated May 2, 2020
  • Jupyter Notebook

CodeLogist / ML-NewBie-s-Heaven

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A place to find all basic old school Deep Learning concepts, codes and Google Colab trainable python notebooks.

python machine-learning reinforcement-learning deep-learning sentiment-analysis tensorflow word2vec word-embeddings ml generative-adversarial-network gan deep-learning-algorithms classification deeplearning newbie deep-learning-tutorial deep-learning-concepts google-colab newbie-heaven newbie-s-heaven
  • Updated Dec 3, 2019
  • Jupyter Notebook

prakash-ukhalkar / NLP

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A comprehensive set of Jupyter notebooks that take you from NLP fundamentals to advanced techniques. Covers text preprocessing, POS tagging, NER, sentiment analysis (with VADER), text classification, word embeddings, and transformer models like BERT. Built with real-world datasets using NLTK, spaCy, scikit-learn, and Hugging Face Transformers.

python nlp machine-learning natural-language-processing deep-learning text-classification word2vec word-embeddings jupyter-notebook spacy named-entity-recognition nltk gensim vader-sentiment-analysis bert pos-tagging text-preprocessing nlp-course nlp-tutorial huggingface-transformers
  • Updated Oct 11, 2025
  • Python

sourcecode369 / deep-natural-language-processing

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Curated implementation notebooks and scripts of deep learning based natural language processing tasks and challenges in TensorFlow.

nlp deep-learning tensorflow machine-translation chatbot word-embeddings language-modeling recurrent-neural-networks question-answering text-summarization image-classification image-captioning music-generation attention-mechanism seq2seq-model memory-networks long-short-term-memory-models gated-recurrent-units transformer-architecture natural-language-tasks
  • Updated Apr 24, 2020
  • Jupyter Notebook

netik1020 / Concise-iPython-Notebooks-for-Deep-learning

Star 45

Ipython Notebooks for solving problems like classification, segmentation, generation using latest Deep learning algorithms on different publicly available text and image data-sets.

deep-neural-networks text-classification word-embeddings snapshot image-processing text-generation autoencoder image-classification deeplearning text-processing image-segmentation semantic-relationship-extraction keras-neural-networks u-net bi-lstm-crf intent-classification attention-lstm inception-architecture unet-keras
  • Updated Aug 9, 2019
  • Jupyter Notebook

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