Projects in Awesome Lists tagged with regularization

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

andrew-ng andrew-ng-course cnns convolutional-neural-network convolutional-neural-networks coursera coursera-assignment coursera-machine-learning coursera-specialization deep-learning hyperparameter-optimization hyperparameter-tuning neural-machine-translation neural-network neural-networks neural-style-transfer recurrent-neural-network recurrent-neural-networks regularization rnns

Last synced: 30 Sep 2024

https://github.com/bjarten/early-stopping-pytorch

Early stopping for PyTorch

early early-stopping mnist python pytorch pytorch-tutorial regularization stopping tutorial

Last synced: 30 Sep 2024

https://github.com/clovaai/cutmix-pytorch

Official Pytorch implementation of CutMix regularizer

augmentation cutmix iccv2019 regularization transfer-learning

Last synced: 30 Sep 2024

https://github.com/clovaai/CutMix-PyTorch

Official Pytorch implementation of CutMix regularizer

augmentation cutmix iccv2019 regularization transfer-learning

Last synced: 02 Aug 2024

https://github.com/tensorflow/neural-structured-learning

Training neural models with structured signals.

adversarial-learning graph-learning keras neural-networks regularization structured-signals tensorflow

Last synced: 29 Sep 2024

https://github.com/vikasverma1077/manifold_mixup

Code for reproducing Manifold Mixup results (ICML 2019)

data-augumentation deep-learning deep-neural-networks icml2019 pytorch regularization supervised-learning supervised-machine-learning

Last synced: 01 Aug 2024

https://github.com/nianticlabs/diffusionerf

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

deep-learning diffusion diffusion-models nerf neuralradiance-fields radiance-field reconstruction regularization

Last synced: 01 Aug 2024

https://github.com/jiachens/ModelNet40-C

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

benchmark computer-vision corruption-robustness data-augmentation deep-learning ml-safety point-cloud-processing pytorch regularization robustness

Last synced: 31 Jul 2024

https://github.com/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"

recommender-system regularization sequential sse-pt stochastic-shared-embeddings transformer

Last synced: 02 Aug 2024

https://github.com/dogyoonlee/RSMix

[CVPR 2021 - Official] Rigid Subset Mix (RSMix): Regularization Strategy for Point Cloud via Rigidly Mixed Samples

3d 3dpointcloud data-augmentation deep-learning modelnet40 pointcloud regularization shape-classification

Last synced: 31 Jul 2024

https://github.com/yang-han/P-reg

Rethinking Graph Regularization for Graph Neural Networks (AAAI2021)

aaai2021 gcn gnn graph-neural-networks regularization

Last synced: 04 Aug 2024

https://github.com/avik-pal/regneuralde.jl

Official Implementation of "Opening the Blackbox: Accelerating Neural Differential Equations by Regularizing Internal Solver Heuristics" (ICML 2021)

differential-equations julia mnist-classification neural-networks neural-ode physionet regularization sciml

Last synced: 03 Oct 2024

https://github.com/juliaml/penaltyfunctions.jl

Julia package of regularization functions for machine learning

julia machine-learning penalties regularization

Last synced: 27 Sep 2024

https://github.com/egpivo/SpatPCA

R Package: Regularized Principal Component Analysis for Spatial Data

admm covariance-estimation eigenfunctions lasso matrix-factorization pca r r-package rcpparmadillo rcppparallel regularization spatial spatial-data-analysis splines

Last synced: 05 Aug 2024

https://github.com/egpivo/spatpca

R Package: Regularized Principal Component Analysis for Spatial Data

admm covariance-estimation eigenfunctions lasso matrix-factorization pca r r-package rcpparmadillo rcppparallel regularization spatial spatial-data-analysis splines

Last synced: 29 Sep 2024

https://github.com/DataSlingers/clustRviz

Compute Convex (Bi)Clustering Solutions via Algorithmic Regularization

algorithmic-regularization clustering convex-clustering r regularization rstats statistics

Last synced: 05 Aug 2024

https://github.com/benedekrozemberczki/FSCNMF

An implementation of "Fusing Structure and Content via Non-negative Matrix Factorization for Embedding Information Networks".

analytics artifical-intelligence data-mining data-science deepwalk embedding factorization-machine fscnmf graph-embedding graph2vec information-network machine-learning network-embedding nmf node-embedding node2vec pca regularization word2vec word2vec-model

Last synced: 01 Aug 2024

https://github.com/Westlake-AI/SEMA

Switch EMA: A Free Lunch for Better Flatness and Sharpness

image-classification image-generation object-detection optimization pytorch regression regularization self-supervised-learning video-prediction

Last synced: 01 Aug 2024

https://github.com/dirmeier/netReg

:bar_chart: Generalized linear regression models with network-regularization in R.

graphs linear-regression network-regularization networks r regression regularization tensorflow

Last synced: 13 Aug 2024

https://github.com/gtesei/deepexperiments

TensorFlow/Keras experiments on computer vision and natural language processing

alexnet autoencoders computer-vision convolution convolutional-neural-networks deep-learning dropout generative-adversarial-network keras keras-neural-networks mnist natural-language-processing neural-networks regularization tensorflow tensorflow-experiments tensorflow-tutorials word2vec word2vec-model

Last synced: 26 Sep 2024

https://github.com/cyberzhg/keras-targeted-dropout

Targeted dropout implemented in Keras

dropout keras regularization

Last synced: 29 Sep 2024

https://github.com/jameschapman19/scikit-prox

A package for fitting regularized models from scikit-learn via proximal gradient descent

proximal-gradient-descent regularization scikit-learn scikit-learn-api

Last synced: 29 Sep 2024

https://github.com/cyberzhg/keras-succ-reg-wrapper

A wrapper that slows down the updates of trainable weights.

keras regularization wrapper

Last synced: 30 Sep 2024

https://github.com/jtrecenti/202102-insper

Aula teste Insper sobre Regularização

regularization

Last synced: 01 Oct 2024

https://github.com/harmanveer-2546/guide-to-regularization

Regularization is a crucial technique in machine learning that helps to prevent overfitting. Overfitting occurs when a model becomes too complex and learns the training data so well that it fails to generalize to new, unseen data.

generalization inline l1 l2 matplotlib numpy overfitting overfitting-prevention overfitting-reduced pandas regularization regularization-methods regularization-techniques regularization-to-avoid-overfitting seaborn

Last synced: 26 Sep 2024

https://github.com/matcor852/neuralnet

Polyvalent neural network

c99 feedforward-neural-network neural-networks online-learning optimizers regularization supervised-learning

Last synced: 29 Sep 2024

https://github.com/ashishbodhankar/mnist_classification_tensorflow_no_keras

Understanding the performance of different neural network architectures on the MNIST handwritten digits dataset, implemented in Tensorflow.

categorical-cross-entropy cnn custom-tensorflow gradienttape mnist mnist-handwriting-recognition regularization sequential-models tensorflow tensorflow-models

Last synced: 26 Sep 2024