These materials were taught in the Artificial Intelligence M2 course at Salford University during the academic years 2020, 2021, and 2022.

raspberry pi optimisation

UMich 500-Level Mobile Robotics Course

A convolutional neural network to detect atrial fibrillation from a single-lead ECG

Create UIs for prototyping your machine learning model in 3 minutes

Master the fundamentals of machine learning, deep learning, and mathematical optimization by building key concepts and models from scratch using Python.

My work on CS50's "Introduction to Artificial Intelligence with Python".

Fast and Easy Infinite Neural Networks in Python

[CVPR 2023] DepGraph: Towards Any Structural Pruning

A WebGL accelerated JavaScript library for training and deploying ML models.

Notebooks for learning deep learning

Fuzzy String Matching in Python

Lectures for INFO8010 Deep Learning, ULiège

This course covers topics such as overview of sets, counting principles, probability, conditional probability and Bayes’ Rule, discrete Random Variables, continuous Random Variables, Bayesian infer…

This project reproduces the book Dive Into Deep Learning (https://d2l.ai/), adapting the code from MXNet into PyTorch.

Companion webpage to the book "Mathematics For Machine Learning"

Pruning Deep Learning using MAB

Animation engine for explanatory math videos

Books, Presentations, Workshops, Notebook Labs, and Model Zoo for Software Engineers and Data Scientists wanting to learn the TF.Keras Machine Learning framework

A collection of various deep learning architectures, models, and tips

This is the curriculum for "Learn Physics in 2 Months" by Siraj Raval on Youtube

NYU Deep Learning Spring 2020

Labs and demos for courses for GCP Training (http://cloud.google.com/training).

A MNIST-like fashion product database. Benchmark 👇

16 Text Preprocessing Techniques in Python for Twitter Sentiment Analysis.

Demonstrations shown during my lectures in TPG4155 - Applied Computer Methods in Petroleum Science at NTNU

Numerical Analysis Lecture

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.