Implementation of Hinton's forward-forward (FF) algorithm - an alternative to back-propagation

🎓 Sharing machine learning course / lecture notes.

Learning Deep Learning

Latex code for making neural networks diagrams

It is my belief that you, the postgraduate students and job-seekers for whom the book is primarily meant will benefit from reading it; however, it is my hope that even the most experienced research…

An overview of the field of Deep Learning

MIMIC Code Repository: Code shared by the research community for the MIMIC family of databases

Trained a CNN based on U-Net Architecture fro segmenting Brain Tumors in MRI Scans

A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas …

Facial Recognition Pipeline using Dlib and Tensorflow

"Deep Learning with TensorFlow" LiveLessons

Contains the problem set solutions from Stanford's cs224d created during self study of that course

Assignments solutions

Code for my master thesis: Vehicle Detection and Pose Estimation for Autonomous Driving

This is the code for "Learn Machine Learning in 3 Months" by Siraj Raval on Youtube

Repository containing the code of one of the networks that we employed in the iSEG Grand MICCAI Challenge 2017, infant brain segmentation.

visual dialog model in pytorch

A complete daily plan for studying to become a machine learning engineer.

MRI medical image segmentation

Fine-tune pretrained Convolutional Neural Networks with PyTorch

Keras implementation of the multi-channel cascaded architecture introduced in the paper "Brain Tumor Segmentation with Deep Neural Networks"

Resources of semantic segmantation based on Deep Learning model

Content for a microsite dedicated to deep learning.

Directory of tutorials and open-source code repositories for working with Keras, the Python deep learning library