Build software better, together

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 machine-learning deep-learning xgboost ensemble-learning bayesian regularization

Updated Jun 23, 2020
Python

IntelLabs / distiller

Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://intellabs.github.io/distiller

deep-neural-networks jupyter-notebook pytorch regularization pruning quantization group-lasso distillation onnx truncated-svd network-compression pruning-structures early-exit automl-for-compression

Updated Feb 26, 2021
Jupyter Notebook

amanchadha / coursera-deep-learning-specialization

Star

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 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 Apr 24, 2022
Jupyter Notebook

clovaai / CutMix-PyTorch

Star

Official Pytorch implementation of CutMix regularizer

regularization transfer-learning augmentation cutmix iccv2019

Updated Sep 16, 2020
Python

tensorflow / neural-structured-learning

Star

Training neural models with structured signals.

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

Updated Mar 24, 2022
Python

Bjarten / early-stopping-pytorch

Star

Early stopping for PyTorch

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

Updated Mar 31, 2022
Jupyter Notebook

miguelvr / dropblock

Star

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

vikasverma1077 / manifold_mixup

Star

Code for reproducing Manifold Mixup results (ICML 2019)

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

Updated Jul 30, 2020
Python

xgastaldi / shake-shake

Star

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

resnet regularization torch7

Updated Oct 9, 2018
Lua

3dem / relion

Star

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 Apr 19, 2022
C++

Yangyangii / GAN-Tutorial

Star

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 Nov 22, 2019
Jupyter Notebook

AdalbertoCq / Deep-Learning-Specialization-Coursera

Star

Deep Learning Specialization courses by Andrew Ng, deeplearning.ai

deep-learning neural-network optimization coursera batch-normalization regularization convolutional-networks

Updated Jul 1, 2020
Jupyter Notebook

faridcher / ml-course

Star

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 Apr 11, 2021
R

ildoonet / cutmix

Star

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 Sep 9, 2020
Python

ShiMengjie / Machine-Learning-Andrew-Ng

Star

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 Nov 20, 2018
MATLAB

madrury / py-glm

Star

Generalized Linear Models in Sklearn Style

python machine-learning statistical-learning regression regularization parametric

Updated Apr 22, 2020
Python

jiachens / ModelNet40-C

Star

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 Apr 22, 2022
Python

wuliwei9278 / SSE-PT

Star

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

MrinmoiHossain / Deep-Learning-Specialization-Coursera

Star

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 optimization coursera neural-networks regularization convolutional-networks sequence-models

Updated Oct 2, 2020
Jupyter Notebook

hazimehh / L0Learn

Star

Efficient Algorithms for L0 Regularized Learning

machine-learning compressed-sensing feature-selection regularization sparse-regression sparse-modeling l0learn l0-regularization

Updated Feb 23, 2022
C++

emilwallner / Deep-Learning-101

Sponsor

Star

The tools and syntax you need to code neural networks from day one.

machine-learning deep-learning dropout regularization tflearn

Updated Sep 25, 2017
Jupyter Notebook

Wei2624 / AI_Learning_Hub

Star

AI Learning Hub for Machine Learning, Deep Learning, Computer Vision and Statistics

machine-learning statistics deep-neural-networks deep-learning machine-learning-algorithms generative-model gaussian-mixture-models regularization expectation-maximization-algorithm variational-inference svm-classifier learningnotes learning-theory k-means-clustering perceptron-learning-algorithm discriminant-analysis

Updated Apr 12, 2022
HTML

vene / pyowl

Star

Ordered Weighted L1 regularization for classification and regression in Python

machine-learning sparsity regression classification regularization

Updated Aug 27, 2018
Python

jnagy1 / IRtools

Star

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.

matlab nmr regularization tomography conjugate-gradient inverse-problems gmres fista image-deblurring krylov-subspace-methods

Updated Sep 17, 2021
MATLAB

hwalsuklee / numpy-neuralnet-exercise

Star

Implementation of key concepts of neuralnetwork via numpy

neural-network numpy cnn dropout mnist sgd regularization deeplearning xavier-initializer relu cross-entropy-loss numpy-neuralnet-exercise

Updated Feb 6, 2018
Python

zhangchbin / OnlineLabelSmoothing

Star

The official code for the paper "Delving Deep into Label Smoothing", IEEE TIP 2021

deep-learning pytorch classification regularization robustness fine-grained-classification adversarial-attacks noisy-labels tip2021

Updated Apr 30, 2022
Python

MingSun-Tse / Regularization-Pruning

Star

[ICLR'21] PyTorch code for our paper "Neural Pruning via Growing Regularization"

regularization pruning model-compression filter-pruning efficient-neural-networks

Updated Jul 15, 2021
Python

decile-team / jensen

Star

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 sgd tron logistic-regression regularization gradient-descent support-vector-machines optimization-algorithms convex-optimization lbfgs-algorithm lbfgs jensen

Updated Feb 26, 2022
C++

itsrainingdata / sparsebn

Star

Software for learning sparse Bayesian networks

machine-learning r statistics regularization graphical-models bayesian-networks covariance-matrices experimental-data

Updated Sep 5, 2020
R

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

Star

An Interactive Approach to Understanding Deep Learning with Keras

machine-learning tensorflow scikit-learn keras cross-validation regression classification artificial-neural-networks logistic-regression regularization support-vector-machine vectors decision-trees hyperparameter-tuning model-evaluation magnetic-resonance-imaging k-means-clustering model-tuning scalars linear-transformation

Updated Apr 6, 2022
Jupyter Notebook

regularization

Here are 467 public repositories matching this topic...

MingchaoZhu / DeepLearning

IntelLabs / distiller

amanchadha / coursera-deep-learning-specialization

clovaai / CutMix-PyTorch

tensorflow / neural-structured-learning

Bjarten / early-stopping-pytorch

miguelvr / dropblock

vikasverma1077 / manifold_mixup

xgastaldi / shake-shake

3dem / relion

Yangyangii / GAN-Tutorial

AdalbertoCq / Deep-Learning-Specialization-Coursera

faridcher / ml-course

ildoonet / cutmix

ShiMengjie / Machine-Learning-Andrew-Ng

madrury / py-glm

jiachens / ModelNet40-C

wuliwei9278 / SSE-PT

MrinmoiHossain / Deep-Learning-Specialization-Coursera

hazimehh / L0Learn

emilwallner / Deep-Learning-101

Wei2624 / AI_Learning_Hub

vene / pyowl

jnagy1 / IRtools

hwalsuklee / numpy-neuralnet-exercise

zhangchbin / OnlineLabelSmoothing

MingSun-Tse / Regularization-Pruning

decile-team / jensen

itsrainingdata / sparsebn

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

Improve this page

Add this topic to your repo