Pinned Repositories
Autonomous-Vehicle-using-A3C
AI controller for autonomous cars
balanced-learning
Treatment-balanced learning.
CE888_2022
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.
cate-benchmark
A testing platform to assess the performance of CATE estimators across popular datasets.
hyperparam-sensitivity
Investigating sensitivity of CATE estimators to the choice of hyperparameters.
undersmoothing-data-augmentation
Undersmoothing Causal Estimators with Generative Trees
working-papers
Our work in progress papers
dmachlanski's Repositories
dmachlanski/Autonomous-Vehicle-using-A3C
AI controller for autonomous cars
dmachlanski/CE888_2022
dmachlanski/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.
dmachlanski/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.
dmachlanski/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.
dmachlanski/balanced-learning
Treatment-balanced learning.
dmachlanski/benchpress-dm
Code for the paper "Robustness of Algorithms for Causal Structure Learning to Hyperparameter Choice" based on Benchpress.
dmachlanski/ncrm-causality-2021
A two-day NCRM course on causal analysis and machine learning provided in June 2021.
dmachlanski/ce801
CE801: Intelligent Systems and Robotics Assignment
dmachlanski/ce807
dmachlanski/CE888_2023
Materials for CE888 Data Science and Decision Making - Unit 5 Causal Inference.
dmachlanski/ce888labs
My work done as part of CE888 Data Science and Decision Making module
dmachlanski/data-science-from-scratch
My notes and code samples from "Data Science from Scratch" book.
dmachlanski/dmachlanski.github.io
My personal blog
dmachlanski/msc-project
A study of spike-triggered EEG waveforms based on automated surface EMG decomposition of muscle activity comprising primal and fine hand movements.
dmachlanski/neural-network-cpp
A simple implementation of a neural network in C++
dmachlanski/python-playground
Playing around with Python and ML related tools
dmachlanski/Quadflor
Code for the JCDL paper "Using Deep Learning for Title-Based Semantic Subject Indexing to Reach Competitive Performance to Full-Text"