viritaromero

Character-Level-LSTM-in-Pytorch

Implemented a character-level RNN. That will learn from some text one character at a time, then generate new text one character at a time. I used a recopilation of fairy tales

coursework

Checklist of videos and exercises that you can follow if you want to get a good baseline for Data Structures and Algorithms.

Object-Detection-in-Image

Object detection in image using pre-trained model resnet50

Algo-and-DS

Code Repo for Algorithms and Data Structure Courses

ChatbotusingChatterbot

Creation of a ChatBot using Python library "Chatterbot"and a Chatterbot Corpus to train it

handwritingrecognition

Handwriting Recognition using Python's machine learning library, scikitlearn

matplotlibvisualizations

Using Matplotlib for visualizations

Object-Detection-in-Video-using-Tensorflow-and-YOLO

RecommenderSystem

Simple Recommender System using Python

Sentiment-Analysis-with-Pytorch

Implemented a complete RNN that can classify the sentiment of movie reviews (positive or negative).

Style-Transfer-witn-Pytorch-and-pre-trained-model

Applied style transfer to an image using the style of other image. VGG19 pre-trained model is used for the "features" portion.

textclassificationusingspacy

Text classification of Hotel reviews using Spacy Library for advanced Natural Language Processing

Trained-a-text-generating-neural-network-on-a-text-dataset-

Text-Generating Neural Network trained on an text dataset, using a pre-trained model

webcrapingwikipediatable

Web Scraping a Wikipedia Table

webscrape

Web Scraping 5k race results with Python and BeautifulSoup