regularization
There are 789 repositories under regularization topic.
MingchaoZhu/DeepLearning
Python for《Deep Learning》，该书为《深度学习》(花书) 数学推导、原理剖析与源码级别代码实现
IntelLabs/distiller
Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://intellabs.github.io/distiller
amanchadha/coursera-deep-learning-specialization
Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models
Bjarten/early-stopping-pytorch
Early stopping for PyTorch
clovaai/CutMix-PyTorch
Official Pytorch implementation of CutMix regularizer
tensorflow/neural-structured-learning
Training neural models with structured signals.
miguelvr/dropblock
Implementation of DropBlock: A regularization method for convolutional networks in PyTorch.
3dem/relion
Image-processing software for cryo-electron microscopy
vikasverma1077/manifold_mixup
Code for reproducing Manifold Mixup results (ICML 2019)
Yangyangii/GAN-Tutorial
Simple Implementation of many GAN models with PyTorch.
nianticlabs/diffusionerf
[CVPR 2023] DiffusioNeRF: Regularizing Neural Radiance Fields with Denoising Diffusion Models
xgastaldi/shake-shake
2.86% and 15.85% on CIFAR-10 and CIFAR-100
AdalbertoCq/Deep-Learning-Specialization-Coursera
Deep Learning Specialization courses by Andrew Ng, deeplearning.ai
jiachens/ModelNet40-C
Repo for "Benchmarking Robustness of 3D Point Cloud Recognition against Common Corruptions" https://arxiv.org/abs/2201.12296
callmekeyboardman/Machine-Learning-Andrew-Ng
机器学习-Coursera-吴恩达- python+Matlab代码实现
shantanu1109/Coursera-DeepLearning.AI-Stanford-University-Machine-Learning-Specialization
This Repository contains Solutions to the Quizes & Lab Assignments of the Machine Learning Specialization (2022) from Deeplearning.AI on Coursera taught by Andrew Ng, Eddy Shyu, Aarti Bagul, Geoff Ladwig.
faridcher/ml-course
Starter code of Prof. Andrew Ng's machine learning MOOC in R statistical language
ildoonet/cutmix
a Ready-to-use PyTorch Extension of Unofficial CutMix Implementations with more improved performance.
madrury/py-glm
Generalized Linear Models in Sklearn Style
wuliwei9278/SSE-PT
Codes and Datasets for paper RecSys'20 "SSE-PT: Sequential Recommendation Via Personalized Transformer" and NurIPS'19 "Stochastic Shared Embeddings: Data-driven Regularization of Embedding Layers"
hazimehh/L0Learn
Efficient Algorithms for L0 Regularized Learning
pabaq/Coursera-Deep-Learning-Specialization
Programming assignments and lecture notes of the Deep Learning Specialization taught by Andrew Ng and offered by deeplearning.ai on Coursera.
MrinmoiHossain/Deep-Learning-Specialization-Coursera
Deep Learning Specialization Course by Coursera. Neural Networks, Deep Learning, Hyper Tuning, Regularization, Optimization, Data Processing, Convolutional NN, Sequence Models are including this Course.
jnagy1/IRtools
MATLAB package of iterative regularization methods and large-scale test problems. This software is described in the paper "IR Tools: A MATLAB Package of Iterative Regularization Methods and Large-Scale Test Problems" that will be published in Numerical Algorithms, 2018.
machinelearningnuremberg/WellTunedSimpleNets
[NeurIPS 2021] Well-tuned Simple Nets Excel on Tabular Datasets
MingSun-Tse/Regularization-Pruning
[ICLR'21] Neural Pruning via Growing Regularization (PyTorch)
zhangchbin/OnlineLabelSmoothing
The official code for the paper "Delving Deep into Label Smoothing", IEEE TIP 2021
m-clark/book-of-models
Spells for everyday living, also a book -- Models Demystified -- now available!
vkazei/fastFWI
Simple frequency domain full-waveform inversion (FWI) regularized by Sobolev space norm
zeke-xie/stable-weight-decay-regularization
[NeurIPS 2023] The PyTorch Implementation of Scheduled (Stable) Weight Decay.
emilwallner/Deep-Learning-101
The tools and syntax you need to code neural networks from day one.
TomographicImaging/CCPi-Regularisation-Toolkit
The set of CPU/GPU optimised regularisation modules for iterative image reconstruction and other image processing tasks
Wei2624/AI_Learning_Hub
AI Learning Hub for Machine Learning, Deep Learning, Computer Vision and Statistics
decile-team/jensen
A C++ toolkit for Convex Optimization (Logistic Loss, SVM, SVR, Least Squares etc.), Convex Optimization algorithms (LBFGS, TRON, SGD, AdsGrad, CG, Nesterov etc.) and Classifiers/Regressors (Logistic Regression, SVMs, Least Squares Regression etc.)
chenkangjie1123/Co-Adaptation-of-3DGS
[NeurIPS 2025] Official implementation of the paper "Quantifying and Alleviating Co-Adaptation in Sparse-View 3D Gaussian Splatting."
dkazanc/ToMoBAR
TOmographic MOdel-BAsed Reconstruction (ToMoBAR) software