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miguelvr
dropblock

Implementation of DropBlock: A regularization method for convolutional networks in PyTorch.

4K 594 95
ArsSocratica
egora

EgoRA — Entropy-Governed Orthogonality Regularization for Adaptation. Dynamic information-theoretic regularization for fine-tuning neural networks.

3K 0 0
tensorflow
neural-structured-learning

Training neural models with structured signals.

2K 1K 190
sharnam19
networks

Library which can be used to build feed forward NN, Convolutional Nets, Linear Regression, and Logistic Regression Models.

2K 5 1
econcz
pyclsp

A modular two-step convex optimization estimator for ill-posed problems

2K 1 0
econcz
pytmpinv

Tabular Matrix Problems via Pseudoinverse Estimation

2K 1 0
gofflab
scproject

Transfer Learning of Gene Expression Signatures in Python.

1K 6 1
Bjarten
early-stopping-pytorch

Early stopping for PyTorch

1K 1K 290
ArsSocratica
egora-diagnostics

EgoRA — Entropy-Governed Orthogonality Regularization for Adaptation. Dynamic information-theoretic regularization for fine-tuning neural networks.

942 0 0
ArsSocratica
egora-rrl

EgoRA — Entropy-Governed Orthogonality Regularization for Adaptation. Dynamic information-theoretic regularization for fine-tuning neural networks.

908 0 0
dkazanc
tomobar

TOmographic MOdel-BAsed Reconstruction (ToMoBAR) software

693 53 16
econcz
pylppinv

Linear Programming via Regularized Least Squares

667 1 0
jrbourbeau
pyunfold

Iterative unfolding for Python

650 31 13
DanielDialektico
mlektic

A Python ML library to use and visualize gradient descent for linear and logistic regression optimization.

637 0 0
hazimehh
l0learn

Efficient Algorithms for L0 Regularized Learning

626 103 32
marieroald
condat-tv

Python wrapper for the fast TV denoising algorithm by Laurent Condat

550 4 0
g8a9
ear-transformers

Code associated with the paper "Entropy-based Attention Regularization Frees Unintended Bias Mitigation from Lists"

291 50 5
romain-e-lacoste
sparklen

A statistical learning toolkit for high-dimensional Hawkes processes in Python

255 20 3
econcz
lppinv

Linear Programming via Regularized Least Squares

252 1 0
CyberZHG
torch-layer-normalization

Layer normalization in PyTorch

235 20 6
michael-cummins
deepc-hunt

[L4DC 2025] Automatic hyperparameter tuning for DeePC. Built by Michael Cummins at the Automatic Control Laboratory, ETH Zurich.

184 25 2
tasptz
stochdepth

Deep Networks with Stochastic Depth for PyTorch

170 1 0
satwik77
libnmf

Optimization and Regularization variants of NMF

161 33 3
CyberZHG
keras-targeted-dropout

Targeted dropout implemented in Keras

141 6 3
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