An in-depth machine learning tutorial introducing readers to a whole machine learning pipeline from scratch.

Parallel Computing and Scientific Machine Learning (SciML): Methods and Applications (MIT 18.337J/6.338J)

A collaboratively written review paper on deep learning, genomics, and precision medicine

Visualization toolkit for neural networks in PyTorch! Demo -->

The SpeechBrain project aims to build a novel speech toolkit fully based on PyTorch. With SpeechBrain users can easily create speech processing systems, ranging from speech recognition (both HMM/DNN and end-to-end), speaker recognition, speech enhancement, speech separation, multi-microphone speech processing, and many others.

18.S096 - Applications of Scientific Machine Learning

All notes and materials for the CS229: Machine Learning course by Stanford University

DCASE 2017 Baseline system

Machine learning and data science blog.

This repository presents a couple of approaches to the problem of multi-view image classification. I faced this challenge during a hackathon in which I participated, and decided to share my code here. I've also written a Medium article to provide further details and explanations. Feel free to check it out !

Denoising Autoencoders for Phenotype Stratification

🌈 Netron preview for VS Code (TECH DEMO!)

Capstone Project: AI Generated Recipes

The goal of this project is to identify students at risk of dropping out the school

Code and simulations using biologically annotated neural networks

Supplementary materials for McLevey 2021 Doing Computational Social Science (Sage, UK).

Lyra V2 (SoundStream) running in the browser

Wildfire smoke detection with Faster R-CNN via Pytorch 🔥🚒🧑‍🚒

Real-time American Sign Language (ASL) letters detection, via PyTorch, OpenCV, YOLOv5, Roboflow and LabelImg 🤟

Slides and code of my talk “Introduction to Supervised Learning with TensorFlow”.