regularization

There are 6 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 6000
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 4302
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 2676
Bjarten / early-stopping-pytorch
Early stopping for PyTorch
pytorch early-stopping early stopping pytorch-tutorial python mnist regularization tutorial
Language:Jupyter Notebook 1195
clovaai / CutMix-PyTorch
Official Pytorch implementation of CutMix regularizer
cutmix augmentation regularization transfer-learning iccv2019
Language:Python 1191
tensorflow / neural-structured-learning
Training neural models with structured signals.
tensorflow graph-learning adversarial-learning neural-networks regularization structured-signals keras
Language:Python 977
miguelvr / dropblock
Implementation of DropBlock: A regularization method for convolutional networks in PyTorch.
machine-learning computer-vision pytorch regularization convolutional-neural-networks dropblock pytorch-implementation dropout
Language:Python 580
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 475
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++ 423
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 369
xgastaldi / shake-shake
2.86% and 15.85% on CIFAR-10 and CIFAR-100
regularization resnet torch7
Language:Lua 297
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 276
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 244
ModelNet40-C
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
Language:Python 199
faridcher / ml-course
Starter code of Prof. Andrew Ng's machine learning MOOC in R statistical language
anomalydetection classification clustering gradient-descent k-means learning-curve linear-regression machine-learning neural-network pca principal-component-analysis recommender-system regularization svm
Language:R 167
ShiMengjie / Machine-Learning-Andrew-Ng
机器学习-Coursera-吴恩达- python+Matlab代码实现
andrew-ng cs229 linear-regression logistic-regression machine-learning matlab regularization
Language:MATLAB 166
ildoonet / cutmix
a Ready-to-use PyTorch Extension of Unofficial CutMix Implementations with more improved performance.
convolutional-neural-networks data-augmentation deep-learning iccv iccv2019 naver regularization state-of-the-ar
Language:Python 165
madrury / py-glm
Generalized Linear Models in Sklearn Style
python statistical-learning machine-learning parametric regularization regression
Language:Python 126
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 107
hazimehh / L0Learn
Efficient Algorithms for L0 Regularized Learning
compressed-sensing feature-selection l0-regularization l0learn machine-learning regularization sparse-modeling sparse-regression
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 84
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.
convolutional-networks coursera deep-learning neural-networks optimization regularization sequence-models
Language:Jupyter Notebook 84
MingSun-Tse / Regularization-Pruning
[ICLR'21] Neural Pruning via Growing Regularization (PyTorch)
efficient-neural-networks filter-pruning model-compression pruning regularization
Language:Python 77
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 76
releaunifreiburg / WellTunedSimpleNets
[NeurIPS 2021] Well-tuned Simple Nets Excel on Tabular Datasets
automl deep-learning feedforward-neural-network hpo hyperparameter-optimization regularization state-of-the-art neurips-2021 tabular-data
Language:Python 71
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 71
emilwallner / Deep-Learning-101
The tools and syntax you need to code neural networks from day one.
deep-learning dropout machine-learning regularization tflearn
Language:Jupyter Notebook 59
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 55
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.)
machine-learning machine-learning-algorithms convex-optimization lbfgs-algorithm sgd logistic-regression support-vector-machines gradient-descent optimization-algorithms jensen tron lbfgs regularization
Language:C++ 49
hwalsuklee / numpy-neuralnet-exercise
Implementation of key concepts of neuralnetwork via numpy
neural-network deeplearning numpy cross-entropy-loss sgd relu mnist numpy-neuralnet-exercise regularization dropout xavier-initializer cnn
Language:Python 48
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 46
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 45
PacktWorkshops / The-Deep-Learning-with-Keras-Workshop
An Interactive Approach to Understanding Deep Learning with Keras
machine-learning keras artificial-neural-networks magnetic-resonance-imaging logistic-regression decision-trees scikit-learn k-means-clustering hyperparameter-tuning model-evaluation tensorflow classification regression support-vector-machine model-tuning regularization cross-validation linear-transformation scalars vectors
Language:Jupyter Notebook 44
g8a9 / ear
Code associated with the paper "Entropy-based Attention Regularization Frees Unintended Bias Mitigation from Lists"
attention attention-mechanism bert-model nlp regularization
Language:Python 43

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

faridcher / ml-course

ShiMengjie / Machine-Learning-Andrew-Ng

ildoonet / cutmix

madrury / py-glm

wuliwei9278 / SSE-PT

hazimehh / L0Learn

jnagy1 / IRtools

MrinmoiHossain / Deep-Learning-Specialization-Coursera

MingSun-Tse / Regularization-Pruning

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

releaunifreiburg / WellTunedSimpleNets

zhangchbin / OnlineLabelSmoothing

emilwallner / Deep-Learning-101

Wei2624 / AI_Learning_Hub

zeke-xie / stable-weight-decay-regularization

vene / pyowl

decile-team / jensen

hwalsuklee / numpy-neuralnet-exercise

vkazei / fastFWI

dkazanc / ToMoBAR

PacktWorkshops / The-Deep-Learning-with-Keras-Workshop

g8a9 / ear