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regularization

Here are 632 public repositories matching this topic...

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 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 Apr 13, 2024
Jupyter Notebook

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 Apr 24, 2023
Jupyter Notebook

Bjarten / early-stopping-pytorch

Early stopping for PyTorch

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

Updated May 7, 2023
Jupyter Notebook

AdalbertoCq / Deep-Learning-Specialization-Coursera

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

3dem / relion

Image-processing software for cryo-electron microscopy

Updated May 8, 2024
C++

tensorflow / neural-structured-learning

Training neural models with structured signals.

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

Updated Sep 20, 2023
Python

clovaai / CutMix-PyTorch

Official Pytorch implementation of CutMix regularizer

regularization transfer-learning augmentation cutmix iccv2019

Updated Sep 16, 2020
Python

faridcher / ml-course

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 Jan 24, 2024
R

Yangyangii / GAN-Tutorial

Simple Implementation of many GAN models with PyTorch.

Updated Feb 22, 2023
Jupyter Notebook

miguelvr / dropblock

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

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

Updated Oct 2, 2020
Jupyter Notebook

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

An Interactive Approach to Understanding Deep Learning with Keras

Updated Dec 8, 2022
Jupyter Notebook

vikasverma1077 / manifold_mixup

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

ShiMengjie / Machine-Learning-Andrew-Ng

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

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

hazimehh / L0Learn

Efficient Algorithms for L0 Regularized Learning

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

Updated Jan 22, 2024
C++

xgastaldi / shake-shake

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

resnet regularization torch7

Updated Oct 9, 2018
Lua

madrury / py-glm

Generalized Linear Models in Sklearn Style

python machine-learning statistical-learning regression regularization parametric

Updated Apr 22, 2020
Python

ildoonet / cutmix

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

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