mlopatka Goto Github PK

100days

100 days of algorithms

adadp

Learning rate adaptation for differentially private stochastic gradient descent

amodatabase

AMO Database dumper

canosp2020

[staging] CANOSP project repo for January 2020 cohort

chameleon

Browser fingerprinting protection for everybody.

chemometrics_misc

A collection of miscellaneous MATLAB scripts for working with chromatorgraphic data

chrommask

fats matlab functions for selective selection of regions in chromatographic data

cocktailmenu

a LaTeX template for single page A5 cocktail menu

corex_topic

Hierarchical unsupervised and semi-supervised topic models for sparse count data with CorEx

cpdp2020-panel

cpdp2021-panel

crowdtruth-core

CrowdTruth framework for crowdsourcing ground truth for training & evaluation of AI systems

data-leak

A Browser Extension to help detect potentially unsafe data leaving the browser.

discorddnd

My Discord DND personal assistant

dn18-slides

Slides for talk given at DataNatives 2018 (DN2018) in Berin. Talk title: The Morphology of the Web is changing!

errudite

An Interactive Tool for Scalable and Reproducible Error Analysis.

esper-pioneer-shield-study

The ESPER experiment - Firefox Pioneer Study

fb-dump-parser

firefox-data-docs

A guide to answering questions about Firefox users with data.

gdpr-consent-banners

resources for GDPR consent management project

getpeakconv

Probabilistic peak detection for first order chromatographic data

interactive-intro-rl

Big Data's open seminars: An Interactive Introduction to Reinforcement Learning

jakoniglosowali

Materiały z hackatonu Jak Oni Głosowali

jestr-pioneer-shield-study

JESTr Pioneer Shield Study Add-on

kalman-and-bayesian-filters-in-python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

lamcc

Code and experimental results for LambdaCC

learning_rust

legacy_replacements_draft

linear-ae-pca

Principal component analysis using a linear autoencoder

lrgui

LR_GUI is MATLAB based tool for the exploration of forensic datasets. It can be used for the exploration of forensic reference data and calculation of score-based likelihood ratios based on modelling the rarity of pairwise comparisons between traces under a set of forensic hypotheses.