Toolkit to do feature extraction from neuroimaging data

An rewrite of some sklearn functionalities to allow transductive learning to do domain adaptation.

Reproducing neural networks for brain decoding

Neural nets to efficiently process SPD matrix.

Reproducing U-SPDNet results on FPHA dataset

A simple container code to train an autism classifier with ABIDE dataset.

Exploration on custom sklearn's wrapper for mlflow compatibility.

Simple from scratch implementation of Vision Transformers (Dosovitskiy et al., 2020).

Dissertation work on learning interpretable representations to understand object co-occurrences.

TensorFlow implementation for Capsule Networks.

Simple blogging API with CI/CD, written in JavaScript with ES6 syntaxes

Minimum implementation of "A Simple Framework for Contrastive Learning of Visual Representations" (SimCLR) https://arxiv.org/abs/2002.05709

My most commonly used PIP packages for ML/DL

My studies in Coursera

Image and Vision Computing Mini-Project

My minimal implementation of several ML models from scratch.

My implementation for mLSTM

My implementation for DenseNet in PyTorch.

Refactored version of my old KNN implementation

Repo for storing my code for a Dicoding course.

Final project assignment for distributed and parallel systems course.

Project for Dicoding machine learning submission. Using 2 ConvNet and built using Tensorflow.