acatovic

textrank

Simple and clean Python implementation of TextRank as per seminal paper by Rada Mihalcea and Paul Tarau. This implementation performs both keyword extraction as well as text summarization.

gonet

Gonet implements a simple fully-connected neural network. It uses a small matrix package from github.com/acatovic/gomat. Otherwise it is completely self-contained.

paper-lunches

Notebooks and presentations related to papers discussed at our "paper lunch" events.

kth-traffic-forecasting

Short-term traffic flow prediction using univariate forecasting models

lsa

Latent semantic analysis, based on seminal work from Dumais, Landauer and others.

codecarbon

Track emissions from Compute and recommend ways to reduce their impact on the environment.

kth-traffic-counter

Project that estimates number of vehicles given LTE/4G radio frequency data.

Probabilistic-Programming-and-Bayesian-Methods-for-Hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

AoC2021

Advent of Code 2021

funding

Uncovering funding trends in private capital

gomat

Package gomat is a simple matrix implemenation in Go. We make a light attempt at optimising cache locality, however it is by no means the most optimal implementation.

ImageCluster

Algorithms for image clustering and retrieval

sklearn-docker-production