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Projects in Awesome Lists by dholzmueller
A curated list of projects in awesome lists by dholzmueller .
https://github.com/dholzmueller/bmdal_reg
Deep Batch Active Learning for Regression
Last synced: 05 Dec 2024
https://github.com/dholzmueller/pytabkit
ML models + benchmark for tabular data classification and regression
deep-learning deep-neural-networks deeplearning machine-learning tabular tabular-data tabular-data-package tabular-methods tabular-model
Last synced: 27 Dec 2024
https://github.com/dholzmueller/sfcpp
A library with space-filling curve algorithms (analysis, neighbor-finding, visualization) and other utilities (math, geometry, image processing, LaTeX generation...)
Last synced: 05 Dec 2024
https://github.com/dholzmueller/universal_double_descent
Code to replicate figures and results in my paper "On the Universality of the Double Descent Peak in Ridgeless Regression"
Last synced: 05 Dec 2024
https://github.com/dholzmueller/nn_inconsistency
Code for Monte Carlo analysis of two-layer ReLU neural networks.
Last synced: 05 Dec 2024
https://github.com/dholzmueller/sampling_experiments
Code for reproducing the plots in our paper "Convergence Rates for Non-Log-Concave Sampling and Log-Partition Estimation"
Last synced: 05 Dec 2024
https://github.com/dholzmueller/realmlp-td-s_standalone
Standalone implementation of RealMLP-TD-S for tabular data classification and regression
Last synced: 05 Dec 2024
https://github.com/dholzmueller/dholzmueller.github.io
Website of David Holzmüller
Last synced: 05 Dec 2024
https://github.com/dholzmueller/fast_sparse_interpolation
Code accompanying the paper "Fast Sparse Grid Operations using the Unidirectional Principle: A Generalized and Unified Framework"
Last synced: 05 Dec 2024