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Projects in Awesome Lists tagged with regularization

A curated list of projects in awesome lists tagged with regularization .

https://github.com/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

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

Last synced: 18 Apr 2025

https://github.com/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

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

Last synced: 12 Apr 2025

https://nervanasystems.github.io/distiller/

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

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

Last synced: 09 Jul 2025

https://github.com/IntelLabs/distiller

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

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

Last synced: 20 Mar 2025

https://intellabs.github.io/distiller/

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

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

Last synced: 03 May 2025

https://github.com/intellabs/distiller

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

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

Last synced: 27 Sep 2025

https://github.com/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

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: 13 May 2025

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

Official Pytorch implementation of CutMix regularizer

augmentation cutmix iccv2019 regularization transfer-learning

Last synced: 16 May 2025

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

Official Pytorch implementation of CutMix regularizer

augmentation cutmix iccv2019 regularization transfer-learning

Last synced: 02 May 2025

https://github.com/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

Last synced: 16 May 2025

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: 07 Apr 2025

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: 20 Mar 2025

https://github.com/madrury/py-glm

Generalized Linear Models in Sklearn Style

machine-learning parametric python regression regularization statistical-learning

Last synced: 24 Apr 2025

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: 29 Apr 2025

https://github.com/emilwallner/deep-learning-101

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

deep-learning dropout machine-learning regularization tflearn

Last synced: 30 Apr 2025

https://github.com/zmyzheng/neural-networks-and-deep-learning

Deep learning projects including applications (face recognition, neural style transfer, autonomous driving, sign language reading, music generation, translation, speech recognition and NLP) and theories (CNNs, RNNs, LSTM, Adam, Dropout, BatchNorm, Xavier/He initialization, hyperparameter tuning, regularization, optimization, Residual Networks). Deep Learning Specialization by Andrew Ng, deeplearning.ai

adam autonomous-driving batchnorm cnn dropout face-recognition hyperparameter-tuning keras lstm music-generation natural-language-processing neural-style-transfer regularization residual-networks rnn speech-recognition tensorflow translation xavier-he-initialization yolo

Last synced: 07 May 2025

https://github.com/satwik77/libnmf

Optimization and Regularization variants of Non-negative Matrix Factorization (NMF)

non-negative-matrix-factorization optimization regularization

Last synced: 14 Dec 2025

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

Rethinking Graph Regularization for Graph Neural Networks (AAAI2021)

aaai2021 gcn gnn graph-neural-networks regularization

Last synced: 09 Jul 2025

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: 20 Mar 2025

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: 27 Oct 2025

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

Julia package of regularization functions for machine learning

julia machine-learning penalties regularization

Last synced: 27 Oct 2025

https://github.com/vita-group/diverse-vit

[CVPR 2022] "The Principle of Diversity: Training Stronger Vision Transformers Calls for Reducing All Levels of Redundancy" by Tianlong Chen, Zhenyu Zhang, Yu Cheng, Ahmed Awadallah, Zhangyang Wang

diversity oversmoothing regularization training-techniques transformer vision-transformer

Last synced: 19 Apr 2025

https://github.com/DataSlingers/clustRviz

Compute Convex (Bi)Clustering Solutions via Algorithmic Regularization

algorithmic-regularization clustering convex-clustering r regularization rstats statistics

Last synced: 13 Jul 2025

https://github.com/rakibhhridoy/anomalydetectionintimeseriesdata-keras

Statistics, signal processing, finance, econometrics, manufacturing, networking[disambiguation needed] and data mining, anomaly detection (also outlier detection) is the identification of rare items, events or observations which raise suspicions by differing significantly from the majority of the data. Typically the anomalous items will translate to some kind of problem such as bank fraud, a structural defect, medical problems or errors in a text. Anomalies are also referred to as outliers, novelties, noise, deviations and exceptions.

anomaly-detection autoencoder autoencoders deep-learning dropout keras lstm machine-learning numpy pandas python regularization tensorflow threshold

Last synced: 04 Oct 2025

https://github.com/jtschwar/tomo_tv

C++ library for Regularized 2D and 3D Tomography Reconstructions.

3d-reconstruction cuda inverse-problems regularization tomography

Last synced: 25 Apr 2025

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: 12 Jul 2025

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: 30 Jul 2025

https://github.com/geospace-code/airtools

Port of P.C. Hansen's notable AIRtools Matlab suite of inversion / regularization tools

geoscience log-entropy-regularization maximum-entropy-regularization regularization

Last synced: 18 Jul 2025

https://github.com/ermongroup/hyperspn

PyTorch implementation for "HyperSPNs: Compact and Expressive Probabilistic Circuits", NeurIPS 2021

density-estimation probabilistic-circuits pytorch regularization sum-product-networks

Last synced: 08 May 2025

https://github.com/roatienza/agmax

PyTorch code of my WACV 2022 paper Improving Model Generalization by Agreement of Learned Representations from Data Augmentation

data-augmentation generalization regularization wacv2022

Last synced: 11 Apr 2025

https://github.com/mohamedsebaie/coursera--deep_learning_specialization--by_anderw_ng

Coursera (Deep_Learning_Specialization) By Andrew Ng and offered by deeplearning.ai.**Each of the below Courses Contains Notes, programming assignments, and quizzes.1- Neural Networks and Deep Learning;2- Improving Deep Neural Networks: Hyperparameter tuning, Regularization, and Optimization; 3- Structuring Machine Learning Projects; 4- Convolutional Neural Networks;5- Sequence Models.

andrew-ng-coursera cnn-classification convolutional-neural-networks coursera coursera-assignment coursera-deep-learning coursera-specialization deep-learning hyperparameter-tuning long-short-term-memory lstm-neural-networks natural-language-processing neural-networks neural-transfer recurrent-neural-networks regularization

Last synced: 10 Jul 2025

https://github.com/rfeinman/sk-regularization

Code for "Learning a smooth kernel regularizer for convolutional neural networks" (Feinman & Lake, 2019)

convolutional-neural-networks model-priors regularization visual-recognition

Last synced: 20 Mar 2025

https://github.com/wmkouw/ctrl-iwxval

Controlled importance-weighted cross-validation

control-variates covariate-shift cross-validation regularization sampling-variance

Last synced: 26 Mar 2025

https://github.com/bhattbhavesh91/lasso-regression-python

This repository shows how Lasso Regression selects correlated predictors

dataset lasso-regression linear-regression multicollinearity python regularization

Last synced: 17 Apr 2025

https://github.com/z7zuqer/dropblock-caffe

Implementation of DropBlock: A regularization method for convolutional networks in Caffe.

caffe dropout regularization

Last synced: 15 Apr 2025

https://github.com/dkazanc/multi-channel-x-ray-ct

Software supporting "Joint image reconstruction method with correlative multi-channel prior for X-ray spectral computed tomography" publication in Inverse Problems journal

image-reconstruction inverse-problems matlab regularization

Last synced: 19 Aug 2025

https://github.com/adesoji1/food-image-classification

Food Image Classification using TensorFlow: A deep learning model to classify various food items using TensorFlow and CNNs.

colab-notebook hyperparameter-optimization hyperparameter-tuning keras-tensorflow matplotlib-pyplot numpy pandas pillow python3 pytorch regularization tensorflow transfer-learning transformer

Last synced: 15 Oct 2025

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

Targeted dropout implemented in Keras

dropout keras regularization

Last synced: 05 Oct 2025

https://github.com/pyladiesams/pyro-may2023

Meet Uber's Pyro - popular framework for probabilistic programming. Learn how to introduce regularization and prior assumptions into a model, at first for a simple use case of Bayesian Linear Regression and later in an introduction to deep generative models with Pyro.

bayesian deep-generative-model probabilistic-programming pyro regularization

Last synced: 09 Apr 2025

https://github.com/dpscience/dcontinpals

pyDCONTINPALS - A Python program for running the historical FORTRAN code CONTIN-PALS which solves Fredholm integral equations with convoluted exponential decays as kernels of the type that occur in the analysis of Positron Annihilation Lifetime Spectra (PALS).

analysis contin datareduction exponential-decay exponential-distributions flm fredholm-integral-equation ill-posed inverse-problems laplace-inversion lifetime-spectroscopy linear-algebraic-equations multi-exponential-decay nonnegativity-constraints pals positron-annihilation-lifetime positron-lifetime-spectra regularization tikhonov tikhonov-regularization

Last synced: 04 Sep 2025

https://github.com/chaitanyac22/house-price-prediction-project-for-a-us-based-housing-company

The goal of this project is to garner data insights using data analytics to purchase houses at a price below their actual value and flip them on at a higher price. This project aims at building an effective regression model using regularization (i.e. advanced linear regression: Ridge and Lasso regression) in order to predict the actual values of prospective housing properties and decide whether to invest in them or not.

advanced-linear-regression business-analytics data-analysis data-cleaning data-manipulation data-visualization exploratory-data-analysis feature-engineering lasso-regression linear-regression machine-learning model-building model-evaluation prediction-model python3 regularization rfe ridge-regression statistics

Last synced: 03 Jul 2025

https://github.com/anishlearnstocode/improving-deep-neural-networks

Coursera Course: Improving Deep Neural Networks, part of the Deep Learning Specialization ~deeplearning.ai

coursera deep-learning hyperparameters neural-networks optimization regularization solutions

Last synced: 10 Apr 2025

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: 10 Apr 2025

https://github.com/csinva/max-activation-interpretation-pytorch

Code for creating maximal activation images (like Deep Dream) in pytorch with various regularizations / losses.

deep-dream deep-learning interpretability maximal-activation neural-network optimization pytorch regularization total-variation visualization-tools

Last synced: 14 Aug 2025

https://github.com/johannesu/point-cloud

Curvature-based point-cloud regularization

curvature regularization

Last synced: 29 Jun 2025

https://github.com/brauliov/machine-learning

Machine Learning exercises for my subject of Machine Learning at University of Granada (UGR).

aprendizaje-automatico bagging boosting knn linear-models machine-learning machine-learning-algorithms perceptron r regularization svm trees ugr

Last synced: 13 Apr 2025

https://github.com/rpatrik96/lod-wmm-2019

Supplementary code for the paper "Stochastic Weight Matrix-based Regularization Methods for Deep Neural Networks" - an accepted paper of LOD2019

deep-learning deep-learning-algorithms deep-neural-networks generalization overfitting pytorch pytorch-implementation regularization regularization-methods weight-matrix weight-reinitialization weight-shuffling wmm

Last synced: 19 Jun 2025

https://github.com/mstorath/l1tv

Denoising/reconstruction of piecewise constant signals using the L1TV model

circle-valued-signals denoising l1-tv matlab piecewise-constant reconstruction regularization smoothing tvl1

Last synced: 18 Sep 2025

https://github.com/bhattbhavesh91/regularization-neural-networks

Simple Demo to show how L2 Regularization avoids overfitting in Deep Learning/Neural Networks

deep-learning keras keras-neural-networks keras-tensorflow l2-regularization neural-networks overfitting regularization

Last synced: 22 Jun 2025

https://github.com/jhorzek/lesstimate

Optimize your models with lasso, scad, mcp, and other penalty functions

lasso mcp optimization optimization-algorithms regularization scad

Last synced: 25 Mar 2025

https://github.com/moindalvs/svm_hyperparameter_tuning_kernel_tricks

Effect of Gamma values and C values visualization on dataset and errors/misclassification

data-science gamma hyperparameter-tuning kernel regularization sklearn svm-classifier svm-kernel visualization

Last synced: 24 Dec 2025

https://github.com/keivanipchihagh/ml-models-from-scratch

Implementations of Machine Learning models, Regularizers, Optimizers and different Cost functions.

knn-classification knn-regression lasso-regression linear-regression regression regularization ridge-regression

Last synced: 16 Aug 2025

https://github.com/shannon-labs/shannon-control-unit

Shannon Control Unit: Adaptive regularization via control theory for LLM training

control-theory deep-learning information-theory llama llm lora machine-learning mdl peft regularization

Last synced: 11 Nov 2025

https://github.com/shivamswarnkar/tesla-stock-prediction

Making prediction of close prices of Tesla Stocks using different regression methods.

data-analysis data-visualization plotly regression regularization sklearn stock-price-prediction

Last synced: 09 Sep 2025

https://github.com/timkong21/machine-learning-specialization

Contains solutions and notes for the Machine Learning Specialization by Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG

artificial-neural-networks decision-trees deep-learning gradient-descent linear-regression logistic-regression machine-learning neural-network python recommender-system regularization supervised-learning tensorflow tree-ensembles xgboost

Last synced: 31 Mar 2025

https://github.com/jongheepark/bridgechange

R package for regularization and change-point analysis in time series and panel data using Bayesian inference

bayesian changepoint panel regularization

Last synced: 18 Apr 2025

https://github.com/safaa-p/prediction-of-real-estate-prices

using regression models(Linear Regression, non linear ,regularization)

linear-regression nonlinear-regression prediction-algorithm regularization

Last synced: 05 Mar 2025

https://github.com/wmkouw/covshift-l2reg

Regularization parameter estimation under covariate shift

covariate-shift cross-validation regularization

Last synced: 04 Apr 2025

https://github.com/marieroald/condat_tv

Python wrapper for the fast TV denoising algorithm by Laurent Condat

compressive-sensing denoising regularization signal-processing statistics total-variation

Last synced: 06 Nov 2025