Projects aimed to learn rust.

Unofficial implementation of Masked AutoEncoder (MAE) using PyTorch without using any prebuilt transformer modules.

Implementation of ViT for classification.

PyTorch implementation of I-JEPA

Vision Transformer for classification.

Experimentation setup to compare the performance of a plain Vanilla ViT and a Vanilla ViT with Registers as per https://arxiv.org/pdf/2309.16588v1.pdf

Coding exercise for Krenovator competition participants

Online Resume

My Profile

Understanding the evolution of transformers from RNN. For learning purposes only.

Implementation of Naive Bayes Classifiers without Libraries

Python version of Kaggle's answer:

PyTorch Implementation of Deep Hierarchical Classification for Category Prediction in E-commerce System

Implementation of Resnet-50 with and without CBAM in PyTorch v1.8. Implementation tested on Intel Image Classification dataset from https://www.kaggle.com/puneet6060/intel-image-classification.

Just a simple python script to detect unknown devices in your network.

CircleCi test

Stream image bytes to the server one row at a time!

Visualizing the filters of a traditional CNN and a CNN with an attention mechanism.

PyTorch implementation of DeepCaps : Going Deeper with Capsule Networks. Original research paper : https://arxiv.org/abs/1904.09546.

Notes and Python Implementation of some well-known software design patterns.

Distributed data parallel training in Pytorch using MNIST model as example.

Discrete Fourier Transform and Fast Fourier Transform implementation using only NumPy with notes of derivation.

Computer vision modules for self-driving car.