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adapter-bert

annotated_deep_learning_paper_implementations

🧑‍🏫 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit), optimizers (adam, radam, adabelief), gans(dcgan, cyclegan, stylegan2), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, etc. 🧠

applied-data-visualization-with-r-and-ggplot2

Use ggplot2 and R to help clearly visualize, communicate and present your data to a wide range of audiences

arabic-topic-modeling

BERT for Arabic Topic Modeling: An Experimental Study on BERTopic Technique

aspect-document-similarity

Implementation, trained models and result data for the paper "Aspect-based Document Similarity for Research Papers" #COLING2020

bertopic

Leveraging BERT and c-TF-IDF to create easily interpretable topics.

bertopic-topic-modeling

cso-classifier

Script that classifies content from scientific papers with the topics of the Computer Science Ontology (CSO).

curso-completo-estadistica

datascience_artificialintelligence_utils

Examples of Data Science projects and Artificial Intelligence use cases

dimensions-api-lab

Research data analytics tutorials using the Dimensions Analytics API

dmba

Utility functions for "Data Mining for Business Analytics: Concepts, Techniques, and Applications in Python"

ecir2021tutorial

elsapy

A Python module for use with Elsevier's APIs: Scopus, ScienceDirect, others.

eng-edu

leap2trend

machine-learning-with-python

Python code for common Machine Learning Algorithms

machinelearning-az

Repositorio del Curso de Machine Learning de la A a la Z con R y Python

maka

A set of python classes to retrieve information from the Microsoft Academic Knowledge API

mat2vec

Supplementary Materials for Tshitoyan et al. "Unsupervised word embeddings capture latent knowledge from materials science literature", Nature (2019).

mexican-nlp-summer-school-2021

Material correspondiente al Tutorial: “Redes Neuronales: conceptos básicos y aplicaciones”

multilabel-classification-gensim-doc2vec

Multilabel classification od customer reviews using gensim Doc2Vec and logistic regression

naivebayesclassifier

A py3 code implementation for a 2-class Naive Bayes algorithm with an apriori decision rule using **multinomial** estimation for classes and a gaussian estimation for the attributes.

nlp-de-cero-a-cien

Taller práctico: NLP de cero a cien 🤗 | Colaboración con SpainAI

nlp-with-python

Scikit-Learn, NLTK, Spacy, Gensim, Textblob and more

otmisc-topic-modeling-tool

We created a topic modeling pipeline to evaluate different topic modeling algorithms, including their performance on short and long text, preprocessed and not preprocessed datasets, and with different embedding models. Finally, we summarized the results and suggested how to choose algorithms based on the task.

personal_data_science_projects

practical-nlp-code

Official Repository for 'Practical Natural Language Processing' by O'Reilly Media

projects

🪐 End-to-end NLP workflows from prototype to production

pytorchnlpbook

Code and data accompanying Natural Language Processing with PyTorch published by O'Reilly Media https://nlproc.info