Graph Neural Network-Based Anomaly Detection

A collection listing all Achievements available on the GitHub profile 🏆

A playbook for systematically maximizing the performance of deep learning models.

arXiv LaTeX Cleaner: Easily clean the LaTeX code of your paper to submit to arXiv

Applied Deep Learning Course

Latex code for making neural networks diagrams

Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.

A PyTorch implementation of Factorized Inference in Deep Markov Models for Incomplete Multimodal Time Series (https://arxiv.org/abs/1905.13570).

Interview coding questions and experiences for several companies merged into one repository

Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoe…

M.Sc. Thesis Material

Disentangled Imputed Video autoEncoder (DIVE)

here i'm sharing some of the code snippets that I couldn't find online and had to code it myself

Notebooks for learning deep learning

Repository for sharing datasets and scripts for data-driven occupant modeling

Deepsense: a unified deep learning framework for time-series mobile sensing data processing.

Temporal Difference Variational Auto-Encoder (TD-VAE) (Implementation in PyTorch)

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

Human Activity Recognition Using Convolutional Neural Network in Keras

Demonising Adversarial Auto-encoder in PyTorch

Handout for the tutorial "Creating publication-quality figures with matplotlib"

Practice your pandas skills!

TensorFlow Tutorials