Comparative CO2 Forecasting with MLP, MA, and ARIMA on Mauna Lua Data

Minerva project includes the minerva package that aids in the fitting and testing of neural network models. Includes pre and post-processing of land cover data. Designed for use with torchgeo datasets.

ETa and Crop Coefficient predictions via Machine Learning models

This project provides a comprehensive framework for evaluating classification models and selecting the best algorithm based on performance metrics. It demonstrates the importance of hyperparameter tuning and model comparison in machine learning workflows.

A PyTorch-like library for training multilayer perceptrons.

Leveraging sentiment analysis and data augmentation to recreate recipe scoring algorithm with sparse data. Used MLPs and Gradient Boosting Regressors to compare regression metrics such as RMSE and MSE between raw data and raw data in conjunction with augmented data.

Neural collaborative filtering recommendation system on Movie lens 100k dataset

Machine Learning | Fall 2023

This is the repository containing machine learning and deep learning projects, as well as some presentation slides on these topics.

Introduction to Machine Learning and Artificial Neural Networks

Value or Momentum? Comparing Random Forests, Support Vector Machines, and Multi-layer Perceptrons for Financial Time Series Prediction & Tactical Asset Allocation

Train and test a Multi-layer Perceptron (MLP) neural network.

Small snippets of my bachelors project I made in coorporation with The Danish Meteorological Institute

Implement neural networks from scratch with Micrograd. Learn derivatives, neurons, layers, and more through step-by-step Jupyter notebooks

A tool to jsonify some sklearn and xgboost models. A high level serialization that works across programming languages. Used for mllite tests.

Multi-Layer Perceptron, MLP, Regression

👨🏻‍💻 Lab Work for Deep Learning at CentraleSupélec ✨

Neural Network

This code tackles the classic Fashion MNIST image classification task using TensorFlow and a multi-layer perceptron (MLP) neural network.

Deep Learning basics in Python using NumPy, PyTorch, and TensorFlow/Keras: linear regression, softmax regression, multilayer perceptron, etc.