dholzmueller
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pytabkit Public
ML models + benchmark for tabular data classification and regression
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probmetrics Public
Probabilistic metrics and post-hoc calibration
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bmdal_reg Public
Deep Batch Active Learning for Regression
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LAMDA-TALENT Public
Forked from qile2000/LAMDA-TALENTA comprehensive toolkit and benchmark for tabular data learning, featuring over 20 deep methods, more than 10 classical methods, and 300 diverse tabular datasets.
Python MIT License UpdatedJul 30, 2024 -
realmlp-td-s_standalone Public
Standalone implementation of RealMLP-TD-S and its data preprocessing for tabular data classification and regression
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sampling_experiments Public
Code for reproducing the plots in our paper "Convergence Rates for Non-Log-Concave Sampling and Log-Partition Estimation"
Python Apache License 2.0 UpdatedMar 7, 2023 -
nn_inconsistency Public
Code for Monte Carlo analysis of two-layer ReLU neural networks.
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fast_sparse_interpolation Public
Code accompanying the paper "Fast Sparse Grid Operations using the Unidirectional Principle: A Generalized and Unified Framework"
C++ Apache License 2.0 UpdatedMar 28, 2022 -
universal_double_descent Public
Code to replicate figures and results in my paper "On the Universality of the Double Descent Peak in Ridgeless Regression"
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tensorforce Public
Forked from tensorforce/tensorforceTensorForce: A TensorFlow library for applied reinforcement learning
Python Apache License 2.0 UpdatedJun 18, 2018 -
sfcpp Public
A library with space-filling curve algorithms (analysis, neighbor-finding, visualization) and other utilities (math, geometry, image processing, LaTeX generation...)