dmachlanski Goto Github PK

autonomous-vehicle-using-a3c

AI controller for autonomous cars

balanced-learning

Treatment-balanced learning.

benchpress-dm

Code for the paper "Robustness of Algorithms for Causal Structure Learning to Hyperparameter Choice" based on Benchpress.

ce801

CE801: Intelligent Systems and Robotics Assignment

ce807

ce888_2022

ce888_2023

Materials for CE888 Data Science and Decision Making - Unit 5 Causal Inference.

ce888labs

My work done as part of CE888 Data Science and Decision Making module

data-science-from-scratch

My notes and code samples from "Data Science from Scratch" book.

dmachlanski.github.io

My personal blog

iads-summer-school-causality-2021

A one-day workshop on causal inference from observational data provided as part of IADS Summer School in July 2021.

iads-summer-school-causality-2022

A one-day workshop on causal inference from observational data provided as part of IADS Summer School in July 2022.

iads-summer-school-causality-2023

A one-day workshop on causal inference from observational data provided as part of IADS Summer School in July 2023.

msc-project

A study of spike-triggered EEG waveforms based on automated surface EMG decomposition of muscle activity comprising primal and fine hand movements.

ncrm-causality-2021

A two-day NCRM course on causal analysis and machine learning provided in June 2021.

neural-network-cpp

A simple implementation of a neural network in C++

python-playground

Playing around with Python and ML related tools

quadflor

Code for the JCDL paper "Using Deep Learning for Title-Based Semantic Subject Indexing to Reach Competitive Performance to Full-Text"