annotated-transformer

An annotated implementation of the Transformer paper.

app-visualize-classifiers

audioclassificationpytorch

candy-power-ranking-analysis

ci-cd-api-ml_app

Udacity Machine Learning DevOps Engineering - Project 3

cnn-landmark-classification

cs50-fullstackdev

data-analysis-statistical-modelling-

First-term analysis using Python at Aston University for the Software Analytics Module. It includes a portfolio project in which I have analysed the MLB dataset from 1993, performed the statistical analysis and created a linear regression model.

deep_learning_collection

deeplearningprojects

Main repo containing all the deep learning projects I have done or which I am currently working on. The goal would be to make it as more informative as possible to let other people learn from it.

farm-stack

fastapi-boilerplate

Dockerized FastAPI boiler plate similar to Django code structure with views, serializers(pydantic) and model( Sqlalchemy ORM) with dockerized database(PostgresSQL) and PgAdmin. 🚀

flask-react-spa

A production-ready boilerplate built with Python 3, Flask and ES6 React/Redux

forecasting-stock-prices-based-on-semantic-analysis-of-business-news-and-social-media-posts

It is well-known that stock price movements are highly sensitive to different types of news, including global events such as outbreaks of epidemics or military conflicts, as well as what people post about specific companies on their social networks. Previous research has studied methods to predict stock price movements based on sentiment analysis of business news and social media posts of a particular company alongside its historical stock price data. In contrast, this project will also implement a new state of the art algorithm recently developed by the Google Research team called Universal Sentence Encoder, which is able to encode input text, implementing sentence level embeddings, into high dimensional vectors that will be used as predictors of future stock price movements. According to that, both the Sentient Analysis and the Universal Sentence Encoder will be performed and the outputs will be used as an exogenous variable in machine learning models which will be then compared with each other to find the best model with the aim of achieving a higher model accuracy, better performance and a more robust model than only using either the historical stock price data ad endogenous variable or implementing other natural language processing methodologies based on word embeddings.

full-stack-fastapi-template

Full stack, modern web application template. Using FastAPI, React, SQLModel, PostgreSQL, Docker, GitHub Actions, automatic HTTPS and more.

full-stack-projects

A collection of web apps projects using Python, HTML, CSS and Javascript.

genre_classification

Machine Learning MLOps Engineer course exercise.

lightning-series

lio-house-app

machine-learning-book

Code Repository for Machine Learning with PyTorch and Scikit-Learn

machinelearningresearch-ukroadaccidents

Developing a predictive model that is able to predict accident severity based on various external variables.

mingpt-deepspeed

A minimal PyTorch Lightning OpenAI GPT w DeepSpeed Training!

ml-pipeline-short-term-rental-prices-nyc

Course 2 project of the Udacity ML DevOps Nanodegree Program

mnist_cnn_optimization

A project for implementing a CNN optimisation using the brand new keras-tuner.

multiprocessing-threading

Going through a few possible ways of implementing multiprocessing and threading in Python.

nanogpt

The simplest, fastest repository for training/finetuning medium-sized GPTs.

nanovit

Implementation of ViT with PyTorch

ng-video-lecture

nicholas-dinicola

My profile repo

python-programming

A repo to store all the python programming tips and tricks