Notebooks for the Seattle PyData 2017 talk on Scattertext
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Updated
Jan 12, 2018 - HTML
Notebooks for the Seattle PyData 2017 talk on Scattertext
A small, interpretable codebase containing the re-implementation of a few "deep" NLP models in PyTorch. Colab notebooks to run with GPUs. Models: word2vec, CNNs, transformer, gpt.
Jupyter notebooks for Chainer hands-on
A scientific benchmark and comparison of the performance of sentiment analysis models in NLP on small to medium datasets
In this notebook, I am updating NLP notebooks, and projects
Global vector modelling notebooks for Ancient Greek
This repo contains the codes and the notebooks used for the paper "Exploring Temporal GNN Embeddings for Darknet Traffic Analysis".
Jupyter notebooks for the Deep Learning course that is held at FEI, VSB-TU Ostrava
Notebooks of programming assignments of Sequence Models course of deeplearning.ai on coursera in May-2020
Workshop on Machine Learning in production for Statistics and Information Management course
Collection of Jupyter Notebooks with examples of NLP models.
A place to find all basic old school Deep Learning concepts, codes and Google Colab trainable python notebooks.
A notebook that contains a collection of NLP models that automatically score essays
Portfolio Project.ipynb and Recommendation.py are the finalized Jupiter notebook scripts for this project. Other files are a work in progress to migrate into a web app.
Experiments with different ML techniques using TensorFlow and Sci-kit-learn in Python
Exploring pretrained Word2Vec for analysis of Metadata Keywords
Notebook on NLP basics - NLP pipeline, different word embeddings and LDA
This project has two parts: in one notebook we analyzed word embeddings that were trained on songs of various genres while the other notebook trains a lyric generation model.
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