Llama from scratch, or How to implement a paper without crying

kmeans using PyTorch

Solutions to the problems in the book: Linear Algebra and Learning from Data by Gilbert Strang, MIT

18.065/18.0651: Matrix Methods in Data Analysis, Signal Processing, and Machine Learning

Probabilistic Deep Learning finds its application in autonomous vehicles and medical diagnoses. This is an increasingly important area of deep learning that aims to quantify the noise and uncertain…

An implementation of Restricted Boltzmann Machine in Pytorch

Code for the article "How to Extract Text from Images (OCR) in Python using OpenCV and EasyOCR".

Short Course on Optimization for Machine Learning - Slides and Practical Labs - DS3 Data Science Summer School, June 24 to 28, 2019, Paris, France

GitHub repository for the course EE411: Fundamental of Inference and Learning

Public repository of minSW implementation

Assignments completed for inference and learning course at EPFL