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23 2020 python amanchadha coursera deep learning specialization star 4 3k code issues pull requests 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 code issues pull requests 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 code issues pull requests official pytorch implementation of cutmix regularizer regularization transfer learning augmentation cutmix iccv2019 updated sep 16 2020 python tensorflow neural structured learning star 1k code issues pull requests 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 code issues pull requests 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 542 code issues pull requests 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 jul 18 2026 c vikasverma1077 manifold_mixup star 492 code issues pull requests 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 code issues pull requests 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 308 code issues pull requests 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 296 code issues pull requests 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 code issues pull requests 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 222 code issues pull requests 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 218 code issues pull requests 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 215 code issues pull requests 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 code issues pull requests 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 code issues pull requests 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 code issues pull requests generalized linear models in sklearn style python machine learning statistical learning regression regularization parametric updated apr 22 2020 python wuliwei9278 sse pt star 113 code issues pull requests 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 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