MM's repositories
Doing_bayesian_data_analysis
Python/PyMC3 versions of the programs described in Doing bayesian data analysis by John K. Kruschke
JavaMultiThreading
Codes with minor comments of Java Multithreading course
RDocumentation
R package to integrate rdocumentation.org into your R workflow
VividShade
VividShade: Multi-Monitor RGB Dimming Control
ai-workshops
Materiały wykorzystywane w trakcie warsztatów AI/ML
bike_sharing_demand
Bike Sharing Demand
deep-learning-notes
Experiments with Deep Learning
DeepLearningBook
MIT Deep Learning Book in PDF format
DW-praktyczne_uczenie_maszynowe-konkurs
Zadanie konkursowe z kursu Praktyczne uczenie maszynowe. Wynik dał pierwsze miejsce.
inxai
Intelligible eXplainable Artificial Intelligence
Jacob-Johnson
Repsitory for notes and other independentlly done projects
joyofdata-articles
code and sessions for articles on joyofdata.de
KohaRecommenderEngine
Crowd-sourced recommendations based on old issues in your library :)
la-aws-security_specialty
Learning Activities for the AWS Security Specialty Course
magpie
Deep neural network framework for multi-label text classification
PLSA
Probabilistic Latent Semantic Analysis
prerequisite
Prerequisites for Data Workshop
titanic
Titanic: Machine Learning from Disaster
tsxai
Notebook accompanying paper
tutorials
The "REST With Spring" Classes:
xgboost
Tutorial how to use xgboost