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regularization

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MingchaoZhu / DeepLearning

Star 7.7k

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

python machine-learning deep-learning xgboost ensemble-learning bayesian regularization
  • Updated Jun 23, 2020
  • Python

amanchadha / coursera-deep-learning-specialization

Star 4.3k

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 Network…

deep-learning neural-network coursera recurrent-neural-networks neural-networks hyperparameter-optimization regularization convolutional-neural-networks neural-machine-translation coursera-machine-learning convolutional-neural-network hyperparameter-tuning andrew-ng coursera-assignment cnns rnns andrew-ng-course recurrent-neural-network neural-style-transfer coursera-specialization
  • Updated Jun 10, 2026
  • Jupyter Notebook

Bjarten / early-stopping-pytorch

Star 1.3k

Early stopping for PyTorch

python tutorial pytorch mnist regularization early pytorch-tutorial early-stopping stopping
  • Updated Nov 11, 2024
  • Jupyter Notebook

clovaai / CutMix-PyTorch

Star 1.3k

Official Pytorch implementation of CutMix regularizer

regularization transfer-learning augmentation cutmix iccv2019
  • Updated Sep 16, 2020
  • Python

tensorflow / neural-structured-learning

Star 1k

Training neural models with structured signals.

tensorflow keras neural-networks regularization adversarial-learning graph-learning structured-signals
  • Updated Jul 21, 2026
  • Python

miguelvr / dropblock

Star 594

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

machine-learning computer-vision pytorch dropout regularization convolutional-neural-networks pytorch-implementation dropblock
  • Updated Jul 29, 2020
  • Python

3dem / relion

Star 548

Image-processing software for cryo-electron microscopy

gui hpc molecular-structures cuda image-processing nvidia high-performance-computing graphics-programming ctf regularization cryo-em microscopy likelihood maximum-likelihood optimization-algorithms relion molecular-biology atomistic-models biomolecular-dynamics microscope
  • Updated Aug 19, 2026
  • C++

vikasverma1077 / manifold_mixup

Star 492

Code for reproducing Manifold Mixup results (ICML 2019)

deep-neural-networks deep-learning pytorch supervised-learning regularization data-augumentation supervised-machine-learning icml2019
  • Updated Mar 31, 2024
  • Python

Yangyangii / GAN-Tutorial

Star 409

Simple Implementation of many GAN models with PyTorch.

pytorch gan mnist infogan dcgan regularization celeba wgan began wgan-gp infogan-pytorch conditional-gan pytorch-gan gan-implementations vanilla-gan gan-pytorch gan-tutorial stanford-cars cars-dataset began-pytorch
  • Updated Feb 22, 2023
  • Jupyter Notebook

nianticlabs / diffusionerf

Star 307

[CVPR 2023] DiffusioNeRF: Regularizing Neural Radiance Fields with Denoising Diffusion Models

deep-learning regularization reconstruction nerf diffusion diffusion-models neuralradiance-fields radiance-field
  • Updated Nov 23, 2023
  • Python

xgastaldi / shake-shake

Star 297

2.86% and 15.85% on CIFAR-10 and CIFAR-100

resnet regularization torch7
  • Updated Oct 9, 2018
  • Lua

AdalbertoCq / Deep-Learning-Specialization-Coursera

Star 290

Deep Learning Specialization courses by Andrew Ng, deeplearning.ai

deep-learning neural-network optimization coursera batch-normalization regularization convolutional-networks
  • Updated Nov 2, 2022
  • Jupyter Notebook

callmekeyboardman / Machine-Learning-Andrew-Ng

Star 226

机器学习-Coursera-吴恩达- python+Matlab代码实现

machine-learning matlab linear-regression logistic-regression regularization andrew-ng cs229
  • Updated May 27, 2022
  • MATLAB

shantanu1109 / Coursera-DeepLearning.AI-Stanford-University-Machine-Learning-Specialization

Star 219

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.

reinforcement-learning tensorflow linear-regression xgboost artificial-neural-networks logistic-regression recommender-system regularization gradient-descent tree-ensemble kmeans-clustering anomaly-detection supervised-machine-learning unsupervised-machine-learning multiple-linear-regression
  • Updated Jan 25, 2023
  • Jupyter Notebook

jiachens / ModelNet40-C

Star 217

Repo for "Benchmarking Robustness of 3D Point Cloud Recognition against Common Corruptions" https://arxiv.org/abs/2201.12296

benchmark computer-vision deep-learning pytorch regularization data-augmentation robustness point-cloud-processing ml-safety corruption-robustness
  • Updated Aug 26, 2023
  • Python

faridcher / ml-course

Star 173

Starter code of Prof. Andrew Ng's machine learning MOOC in R statistical language

machine-learning neural-network clustering svm linear-regression pca classification recommender-system regularization gradient-descent k-means anomalydetection principal-component-analysis learning-curve
  • Updated Jul 19, 2025
  • R

ildoonet / cutmix

Star 170

a Ready-to-use PyTorch Extension of Unofficial CutMix Implementations with more improved performance.

deep-learning regularization convolutional-neural-networks naver data-augmentation iccv iccv2019 state-of-the-ar
  • Updated Nov 17, 2022
  • Python

madrury / py-glm

Star 131

Generalized Linear Models in Sklearn Style

python machine-learning statistical-learning regression regularization parametric
  • Updated Apr 22, 2020
  • Python

wuliwei9278 / SSE-PT

Star 113

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"

transformer recommender-system regularization sequential stochastic-shared-embeddings sse-pt
  • Updated Nov 17, 2020
  • Python

hazimehh / L0Learn

Star 107

Efficient Algorithms for L0 Regularized Learning

machine-learning compressed-sensing feature-selection regularization sparse-regression sparse-modeling l0learn l0-regularization
  • Updated Jan 22, 2024
  • C++

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