kmichael08
CS master's degree at the University of Warsaw. Machine Learning Scientist at Expedia. Ex-Facebook and Microsoft. Interested in NLP, explainability and geo.
Expedia, University of Warsaw, @MI2DataLab
Pinned Repositories
asd
Tasks for Algorithms and Data Structures course
auditor_binder
brandes-parallel
Parallel Brandes Algorithm for measuring betweenness in the network
rpis-lab
Projects on Probability and Statistics course laboratory
trypophobia-detection
Detecting trypophobic patterns with neural networks
MAIR
Monitoring of AI Regulations
pyCeterisParibus
Python library for Ceteris Paribus Plots (What-if plots)
xaibot
XAI chat bot for Titanic model - created with plumber
ceterisParibus
Ceteris Paribus Plots (What-If plots) for explanations of a single observation
corona-xaibot
kmichael08's Repositories
kmichael08/trypophobia-detection
Detecting trypophobic patterns with neural networks
kmichael08/auditor_binder
kmichael08/ceterisParibus
Ceteris Paribus Plots (What-If plots) for explanations of a single observation
kmichael08/ceterisParibusExt
Experimental Extensions for Ceteris Paribus Package
kmichael08/chatbot-explainer-titanic
Dialogflow chatbot explaining your chance of survival on Titanic
kmichael08/cleora
Cleora AI is a general-purpose model for efficient, scalable learning of stable and inductive entity embeddings for heterogeneous relational data.
kmichael08/elections-django
Django application for presidential elections 2000 in Poland.
kmichael08/entity-recognition-visualizer
kmichael08/GraphSAGE
Representation learning on large graphs using stochastic graph convolutions.
kmichael08/haskell-jpp-task1
kmichael08/hearthstone-prediction-AAIA
kmichael08/InterpretableMachineLearning2018S
Lecture notes for 'Interpretable Machine Learning' at WUW and UW. Summer semester 2018/2019
kmichael08/kaggle-banking-ml-predictions
kmichael08/kaggle-cuisine-categorization
kmichael08/kaggle-fashion-zalando
kmichael08/kmichael08.github.io
Titanic chatbot - web integration
kmichael08/machine-learning-course
Machine learning assignments
kmichael08/MetodyNumeryczneMIMUW2017
kmichael08/MI2
About MI2 repository http://mi2.mini.pw.edu.pl/
kmichael08/mi2-test
kmichael08/mi2-website
kmichael08/networks-netacka
kmichael08/pola-ai
kmichael08/pyCeterisParibus
Python library for Ceteris Paribus Plots
kmichael08/pyss3
A Python package implementing a new interpretable machine learning model for text classification (with visualization tools for Explainable AI :octocat:)
kmichael08/referat-kac
kmichael08/research-activity
Articles, presentations and posters
kmichael08/survxai
Explanations for survival models
kmichael08/taaskly
A Workplace application demonstrating account linking, file preview and composer integration. This models a simple document store with very simple privacy rules.
kmichael08/veridical-flow
Making it easier to build stable, trustworthy data-science pipelines.