AI code-writing assistant that understands data content

This project is an implementation of the Generative Adversarial Network proposed in our CVPR 2017 paper - DeLiGAN : Generative Adversarial Networks for Diverse and Limited Data. DeLiGAN is a simple but effective modification of the GAN framework and aims to improve performance on datasets which are diverse yet small in size.

About PyTorch implementation of SketchKnitter: Vectorized Sketch Generation with Diffusion Models, ICLR 2023, Spotlight.

Code for the paper 'A Biologically Inspired Visual Working Memory for Deep Networks'

Computational design toolkit from Spatial Pixel.

HyperLogLog and other probabilistic data structures for mining in data streams

Source code for "Open Cross-Domain Visual Search" (CVIU, 2020).

Sketching-based matrix computations for numpy arrays

Sketches! JS, Python, Java, and Pico8

SketchZoo is a project that utilizes Siamese neural networks for efficient animal image retrieval. With the power of contrastive and triplet loss functions, SketchZoo accurately matches hand-drawn animal sketches to corresponding images. It also provides a user-friendly GUI interface for convenient image retrieval based on sketches

2AMD15 - Big Data Management - Prof. Papapetrou - TU/e

Benchmark for ROCF Test Automatic Scoring

The algorithm of syntactic sketches generation for Russian.