danielsaggau
Statistician interested in computational statistics, information theory and foundational machine learning.
ZEISS ZDPMunich, Germany
Pinned Repositories
acl2022-self-contrastive-decorrelation
Source code for ACL 2022 paper "Self-contrastive Decorrelation for Sentence Embeddings".
AI-labour
Methods and Tools for Data Science Term Paper: Coding chunks for individual research project on Text Mining for Twitter Data
awesome-colab-notebooks
Collection of google colaboratory notebooks for fast and easy experiments
causal-dyna-fair
Code for ICML 2020 paper Causal Modeling for Fairness In Dynamical Systems
causal_ml
Repo for essay on structural causal models
Counterfactual-StoryRW
code and data for EMNLP-19 paper "Counterfactual Story Reasoning and Generation" https://arxiv.org/abs/1909.04076
danielsaggau
Elections-Belarus
Project for Machine Learning for Economics
IR_LDC
Master Thesis
mlr3book
Online version of Bischl, B., Sonabend, R., Kotthoff, L., & Lang, M. (Eds.). (2024). "Applied Machine Learning Using mlr3 in R". CRC Press.
danielsaggau's Repositories
danielsaggau/Counterfactual-StoryRW
code and data for EMNLP-19 paper "Counterfactual Story Reasoning and Generation" https://arxiv.org/abs/1909.04076
danielsaggau/deep-learning-notes
Notes from the DeepLearning.AI courses
danielsaggau/deep-learning-with-r-notebooks
R notebooks for the code samples of the book "Deep Learning with R"
danielsaggau/dennis-hammerschmidt
danielsaggau/mlr3book
Introduction to mlr3
danielsaggau/mlr3gallery
Case studies using mlr3
danielsaggau/text_summarization
Text summarization with python and transformer