regularization

There are 7 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
python deep-learning machine-learning xgboost ensemble-learning bayesian regularization
Language:Python 6231
IntelLabs / distiller
Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://intellabs.github.io/distiller
pytorch pruning quantization pruning-structures jupyter-notebook network-compression deep-neural-networks regularization group-lasso distillation early-exit truncated-svd onnx automl-for-compression
Language:Jupyter Notebook 4328
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
deep-learning coursera coursera-assignment coursera-specialization coursera-machine-learning andrew-ng andrew-ng-course convolutional-neural-networks cnns recurrent-neural-networks rnns convolutional-neural-network recurrent-neural-network hyperparameter-optimization hyperparameter-tuning neural-network neural-networks neural-machine-translation neural-style-transfer regularization
Language:Jupyter Notebook 2891
Bjarten / early-stopping-pytorch
Early stopping for PyTorch
pytorch early-stopping early stopping pytorch-tutorial python mnist regularization tutorial
Language:Jupyter Notebook 1212
clovaai / CutMix-PyTorch
Official Pytorch implementation of CutMix regularizer
augmentation cutmix iccv2019 regularization transfer-learning
Language:Python 1210
tensorflow / neural-structured-learning
Training neural models with structured signals.
adversarial-learning graph-learning keras neural-networks regularization structured-signals tensorflow
Language:Python 980
miguelvr / dropblock
Implementation of DropBlock: A regularization method for convolutional networks in PyTorch.
computer-vision convolutional-neural-networks dropblock dropout machine-learning pytorch pytorch-implementation regularization
Language:Python 581
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
Language:Python 478
3dem / relion
Image-processing software for cryo-electron microscopy
microscopy cryo-em hpc cuda image-processing biomolecular-dynamics molecular-biology molecular-structures atomistic-models ctf high-performance-computing graphics-programming gui microscope optimization-algorithms maximum-likelihood likelihood relion regularization nvidia
Language:C++ 441
Yangyangii / GAN-Tutorial
Simple Implementation of many GAN models with PyTorch.
pytorch-gan gan gan-implementations dcgan conditional-gan wgan gan-pytorch pytorch gan-tutorial infogan wgan-gp infogan-pytorch vanilla-gan mnist cars-dataset stanford-cars celeba began began-pytorch regularization
Language:Jupyter Notebook 379
xgastaldi / shake-shake
2.86% and 15.85% on CIFAR-10 and CIFAR-100
torch7 resnet regularization
Language:Lua 295
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
Language:Python 287
AdalbertoCq / Deep-Learning-Specialization-Coursera
Deep Learning Specialization courses by Andrew Ng, deeplearning.ai
deep-learning coursera batch-normalization neural-network convolutional-networks regularization optimization
Language:Jupyter Notebook 253
ModelNet40-C
jiachens / ModelNet40-C
Repo for "Benchmarking Robustness of 3D Point Cloud Recognition against Common Corruptions" https://arxiv.org/abs/2201.12296
deep-learning point-cloud-processing robustness computer-vision benchmark data-augmentation regularization corruption-robustness ml-safety pytorch
Language:Python 206
ShiMengjie / Machine-Learning-Andrew-Ng
机器学习-Coursera-吴恩达- python+Matlab代码实现
linear-regression matlab logistic-regression regularization andrew-ng machine-learning cs229
Language:MATLAB 172
faridcher / ml-course
Starter code of Prof. Andrew Ng's machine learning MOOC in R statistical language
machine-learning learning-curve pca linear-regression gradient-descent svm principal-component-analysis clustering neural-network k-means recommender-system classification regularization anomalydetection
Language:R 168
ildoonet / cutmix
a Ready-to-use PyTorch Extension of Unofficial CutMix Implementations with more improved performance.
naver data-augmentation deep-learning convolutional-neural-networks iccv iccv2019 regularization state-of-the-ar
Language:Python 167
madrury / py-glm
Generalized Linear Models in Sklearn Style
python statistical-learning machine-learning parametric regularization regression
Language:Python 128
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"
stochastic-shared-embeddings sse-pt recommender-system sequential transformer regularization
Language:Python 106
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.
reinforcement-learning supervised-machine-learning unsupervised-machine-learning linear-regression logistic-regression gradient-descent multiple-linear-regression regularization anomaly-detection artificial-neural-networks kmeans-clustering recommender-system tensorflow tree-ensemble xgboost
Language:Jupyter Notebook 96
hazimehh / L0Learn
Efficient Algorithms for L0 Regularized Learning
machine-learning sparse-regression compressed-sensing feature-selection regularization sparse-modeling l0-regularization l0learn
Language:C++ 93
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.
regularization matlab inverse-problems krylov-subspace-methods image-deblurring tomography nmr conjugate-gradient gmres fista
Language:MATLAB 85
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.
deep-learning neural-networks coursera convolutional-networks optimization regularization sequence-models
Language:Jupyter Notebook 84
MingSun-Tse / Regularization-Pruning
[ICLR'21] Neural Pruning via Growing Regularization (PyTorch)
pruning filter-pruning model-compression efficient-neural-networks regularization
Language:Python 81
zhangchbin / OnlineLabelSmoothing
The official code for the paper "Delving Deep into Label Smoothing", IEEE TIP 2021
regularization classification fine-grained-classification noisy-labels adversarial-attacks robustness deep-learning tip2021 pytorch
Language:Python 72
machinelearningnuremberg / WellTunedSimpleNets
[NeurIPS 2021] Well-tuned Simple Nets Excel on Tabular Datasets
automl deep-learning feedforward-neural-network hpo hyperparameter-optimization neurips-2021 regularization state-of-the-art tabular-data
Language:Python 71
emilwallner / Deep-Learning-101
The tools and syntax you need to code neural networks from day one.
deep-learning tflearn dropout regularization machine-learning
Language:Jupyter Notebook 60
Wei2624 / AI_Learning_Hub
AI Learning Hub for Machine Learning, Deep Learning, Computer Vision and Statistics
machine-learning machine-learning-algorithms deep-learning deep-neural-networks statistics svm-classifier discriminant-analysis generative-model expectation-maximization-algorithm variational-inference learningnotes learning-theory regularization perceptron-learning-algorithm k-means-clustering gaussian-mixture-models
Language:HTML 56
zeke-xie / stable-weight-decay-regularization
[NeurIPS 2023] The PyTorch Implementation of Scheduled (Stable) Weight Decay.
deep-learning optimizer regularization weight-decay stochastic-optimization pytorch
Language:Python 56
vene / pyowl
Ordered Weighted L1 regularization for classification and regression in Python
machine-learning regularization classification regression sparsity
Language:Python 52
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.)
convex-optimization gradient-descent jensen lbfgs lbfgs-algorithm logistic-regression machine-learning machine-learning-algorithms optimization-algorithms regularization sgd support-vector-machines tron
Language:C++ 51
vkazei / fastFWI
Simple frequency domain full-waveform inversion (FWI) regularized by Sobolev space norm
full-waveform-inversion helmholtz-equation regularization sobolev-space-norm
Language:MATLAB 50
hwalsuklee / numpy-neuralnet-exercise
Implementation of key concepts of neuralnetwork via numpy
cnn cross-entropy-loss deeplearning dropout mnist neural-network numpy numpy-neuralnet-exercise regularization relu sgd xavier-initializer
Language:Python 48
TomographicImaging / CCPi-Regularisation-Toolkit
The set of CPU/GPU optimised regularisation modules for iterative image reconstruction and other image processing tasks
denoising gpu image-reconstruction inverse-problems iterative-reconstruction reconstruction regularisation regularization tomography
Language:C 47
zhangyikaii / LAMDA-ZhiJian
ZhiJian: A Unifying and Rapidly Deployable Toolbox for Pre-trained Model Reuse
model-reuse pre-trained-model toolbox knowledge-distillation model-merging parameter-efficient-tuning regularization
Language:Python 47
dkazanc / ToMoBAR
TOmographic MOdel-BAsed Reconstruction (ToMoBAR) software
reconstruction regularization inverse-problems artifacts x-ray astra-toolbox fista admm model-based regularisation multigpu cupy tomographic-reconstruction tomography
Language:Python 46

regularization

MingchaoZhu / DeepLearning

IntelLabs / distiller

amanchadha / coursera-deep-learning-specialization

Bjarten / early-stopping-pytorch

clovaai / CutMix-PyTorch

tensorflow / neural-structured-learning

miguelvr / dropblock

vikasverma1077 / manifold_mixup

3dem / relion

Yangyangii / GAN-Tutorial

xgastaldi / shake-shake

nianticlabs / diffusionerf

AdalbertoCq / Deep-Learning-Specialization-Coursera

jiachens / ModelNet40-C

ShiMengjie / Machine-Learning-Andrew-Ng

faridcher / ml-course

ildoonet / cutmix

madrury / py-glm

wuliwei9278 / SSE-PT

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

hazimehh / L0Learn

jnagy1 / IRtools

MrinmoiHossain / Deep-Learning-Specialization-Coursera

MingSun-Tse / Regularization-Pruning

zhangchbin / OnlineLabelSmoothing

machinelearningnuremberg / WellTunedSimpleNets

emilwallner / Deep-Learning-101

Wei2624 / AI_Learning_Hub

zeke-xie / stable-weight-decay-regularization

vene / pyowl

decile-team / jensen

vkazei / fastFWI

hwalsuklee / numpy-neuralnet-exercise

TomographicImaging / CCPi-Regularisation-Toolkit

zhangyikaii / LAMDA-ZhiJian

dkazanc / ToMoBAR