🔬 Some personal research code on analyzing CNNs. Started with a thorough exploration of Stanford's Tiny-Imagenet-200 dataset.

Supercharge Your Model Training

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

Hackable and optimized Transformers building blocks, supporting a composable construction.

Lite Vision Transformer (CVPR 2022)

Official DeiT repository

Chapter by Chapter notes, exercises and code for a variety of machine learning books using Python

Code and slides for the "SOLID principles for ML engineers" series on The Sound of AI YouTube channel.

Docker image for Unitime

Deep Learning tools for brain medical images

Advanced Normalization Tools (ANTs)

Skull stripping and brain tissue segmentation

Preprocessing pipeline on Brain MR Images through FSL and ANTs, including registration, skull-stripping, bias field correction, enhancement and segmentation.

A curated list of references for MLOps

Models and examples built with TensorFlow

DeepLabv3+ built in TensorFlow

A template for scikit-learn extensions

Automatic extraction of relevant features from time series:

A library for debugging/inspecting machine learning classifiers and explaining their predictions

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphic…

A game theoretic approach to explain the output of any machine learning model.

Applying machine learning to predict loan charge-offs on LendingClub.com

A prediction of D+1 stock prices based on neural network models

A simple python implementation of Fuzzy C-means algorithm.