gboduljak

stanford-compilers-coursework

This is a repository of coursework project for the Stanford Compilers MOOC course. The result is a fully-working compiler for the COOL Programming Language.

calc

A console based calculator written in Haskell.

seam-carving

This is my implementation of the simplified version of the seam carving - an algorithm developed by S.Avidan and A.Shamir. Seam carving is an algorithm for 'content-aware' image resizing. The main idea is to resize an image by removing only the least noticeable pixels. I have also made a small web app used to generate interesting results.

bsc-thesis

The thesis is "On universality of fully-connected neural networks". This thesis aims to present key results in the approximation theory of artificial neural networks assuming only undergraduate mathematics. This research field studies necessary and sufficient conditions under which neural networks can approximate certain functions.

mcc

mcc is a toy compiler compiling a (relatively) large subset of C language to LLVM IR.

uscheme

μscheme (micro Scheme) is a toy interpreter for the Scheme programming language, implementing a relatively (large) subset of R5RS language specification.

group-equivariant-cnns-vs-spatial-transformers

This study aims to show that group equivariant CNNs outperform spatial transformers, on tasks which demand rotation invariance, by providing theoretical background and experimental performance comparison with detailed analysis.

lagan

Lightweight attentional GAN for unpaired image-to-image-translation.

graph-attention-networks

An implementation of Graph Attention Networks (GAT) paper accompanied with the analysis of attention scores.

contrastive-unpaired-translation

Contrastive unpaired image-to-image translation, faster and lighter training than cyclegan (ECCV 2020, in PyTorch)

CyCADA

A PyTorch implementation of CyCADA

dft

A quick and dirty implementation of Discrete Fourier transform (DFT) in Haskell. Tested on Polynomial Multiplication.

DRIT

Learning diverse image-to-image translation from unpaired data

functional-pearls

Implementations of functional pearls (https://wiki.haskell.org/Research_papers/Functional_pearls) I read.

LeafGAN

mlx

MLX: An array framework for Apple silicon

mlx-data

Efficient framework-agnostic data loading

mlx-examples

Examples in the MLX framework

mnist-from-scratch

MNIST done with paper, pencil and Numpy

MUNIT

Multimodal Unsupervised Image-to-Image Translation

NICE-GAN-pytorch

Official PyTorch implementation of NICE-GAN: Reusing Discriminators for Encoding: Towards Unsupervised Image-to-Image Translation

pixel-da

pixel da

prettyprinter

A modern, extensible and well-documented prettyprinter.

pytorch-CycleGAN-and-pix2pix

Image-to-Image Translation in PyTorch

query-selected-attention

Official implementation for "QS-Attn: Query-Selected Attention for Contrastive Learning in I2I Translation" (CVPR 2022)

SoloGAN

Official implementation of SoloGAN

stargan-v2

StarGAN v2 - Official PyTorch Implementation (CVPR 2020)

TiTok

Code for the paper TIToK: A solution for bi-imbalanced unsupervised domain adaptation

UGATIT-pytorch

Official PyTorch implementation of U-GAT-IT: Unsupervised Generative Attentional Networks with Adaptive Layer-Instance Normalization for Image-to-Image Translation

vae

Implementations of various VAEs.