My first Python repo with codes in Machine Learning, NLP and Deep Learning with Keras and Theano
$ git clone https://github.com/RubensZimbres/Repo-2017.gitDeep-learning model presented in "DataStories at SemEval-2017 Task 4: Deep LSTM with Attention for Message-level and Topic-based Sentiment Analysis".
Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencoders, Time Series Forecasting, Object Detection, Sentiment Analysis, Intent Recognition with BERT)
Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BER
State-of-the-art deep learning model for analyzing sentiment, emotion, sarcasm etc.
Text Classification by Convolutional Neural Network in Keras
This repository contains Ipython notebooks and datasets for the data analytics youtube tutorials on The Semicolon.
Data from GitHub · snapshot Sep 24, 2026