previtus,Vít Růžička,github

-ceci-n-est-pas-une-pipe

aerialnets

Set of small projects revolving around aerial imagery data (satellite images). Can be considered as a set of side projects and brain storm space for the Change Detection project.

aerialnets_runwayml

artml_text_generation

Simple implementation of the charbased LSTM used to generate text. Part of ML4Art / Art4ML class

arxiv-sanity-preserver

Web interface for browsing, search and filtering recent arxiv submissions

attentionpipeline

internship project at CMU, 2017-2018

audio2features

2Images, 2Whatever, YNot

caracal

CARACAL: Automated BioAcoustic Processing Pipeline

cci_ai_for_the_media

UAL, CCI - MSc course: 20/21 Artificial Intelligence for the Media

cci_ai_for_the_media_2022

UAL, CCI - MSc course: 21/22 Artificial Intelligence for the Media

cci_data_maths_methods

UAL, CCI - BSc Year 1 course "Data, Math and Methods"

cci_exploring_machine_intelligence

UAL, CCI - MSc course: 19/20 "IU000128 Coding Three: Exploring Machine Intelligence"

cci_python

Welcome to Year 1 Introduction to Creative Computing and Coding Practice at UAL CCI

change_detection_onera_baselines

Few baselines for the Change Detection task

changedetectionbaseline

Baseline approach to Change Detection using deep learning and Siamese CNNs

changedetectionproject

Change Detection project - the more experimental build version. Trying out Active Learning in with deep CNNs for Change detection on remote sensing data.

dataset_handlers

small scripts+tricks to assemble+visualize datasets fast

emit-data-resources

This repository provides guides, short how-tos, and tutorials to help users access and work with data from the Earth Surface Mineral Dust Source Investigation (EMIT) mission.

facenet

Face recognition using Tensorflow

fake_news_generation_mark_i

Pipeline for fake news generation. This process uses several other github repos, here we have the "how to's" text files.

fakenews_scraper

Python based scraper using newspaper3k and (optionally) FakeBox news bias classifier.

gan_explorer

Real-time interaction with deep generative models. Allows for a novel Convolutional Layer Reconnection technique on pretrained or your own custom models.