GitHub topics: regularization

Repositories

Aashir01124/Neural-Network-Modifications-Hyperparameter-Experiments

Modifies a neural network's hyperparameters, activation functions, cost functions, and regularization methods to improve training performance and generalization.

Size: 1.95 KB - Last synced at: 1 day ago - Pushed at: 1 day ago - Stars: 1 - Forks: 0

jolars/libslope

C++ library for Sorted L-One Penalized Estimation (SLOPE)

Language: C++ - Size: 6.55 MB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 1 - Forks: 2

Bjarten/early-stopping-pytorch

Early stopping for PyTorch

Language: Jupyter Notebook - Size: 718 KB - Last synced at: 4 days ago - Pushed at: 8 months ago - Stars: 1,256 - Forks: 292

tensorflow/neural-structured-learning

Training neural models with structured signals.

Language: Python - Size: 28.8 MB - Last synced at: 5 days ago - Pushed at: 5 months ago - Stars: 1,003 - Forks: 189

iantimmis/DropBlock-Unofficial-Implementation

Paper Reproduction: "DropBlock: A regularization method for convolutional networks"

Language: Python - Size: 609 KB - Last synced at: 6 days ago - Pushed at: 7 days ago - Stars: 11 - Forks: 6

iamratinder/regularization-streamlit

This Streamlit app allows you to explore and visualize how different regularization methods (Ridge, Lasso, ElasticNet) affect model coefficients and performance on various regression datasets.

Language: Python - Size: 2.93 KB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 0 - Forks: 0

Rudra-G-23/100-Days-of-ML

A complete and in-depth machine learning resource containing detailed notes, mathematical explanations, Python code, and Jupyter notebooks., and lectures.

Language: Jupyter Notebook - Size: 26.2 MB - Last synced at: 7 days ago - Pushed at: 8 days ago - Stars: 0 - Forks: 0

This repository contains hands-on Jupyter notebooks that explore key concepts in machine learning, such as logistic regression, regularization, dimensionality reduction, clustering, and more. Each notebook is designed to explain core ideas through practical examples and datasets.

Language: Jupyter Notebook - Size: 458 KB - Last synced at: 9 days ago - Pushed at: 9 days ago - Stars: 0 - Forks: 0

MarieRoald/condat_tv

Python wrapper for the fast TV denoising algorithm by Laurent Condat

Language: C - Size: 83 KB - Last synced at: 8 days ago - Pushed at: over 3 years ago - Stars: 3 - Forks: 0

m-clark/book-of-models

Spells for everyday living, also a book -- Models Demystified -- coming out in 2025.

Language: Python - Size: 151 MB - Last synced at: 10 days ago - Pushed at: 10 days ago - Stars: 68 - Forks: 15

dkazanc/ToMoBAR

TOmographic MOdel-BAsed Reconstruction (ToMoBAR) software

Language: Python - Size: 67.5 MB - Last synced at: 6 days ago - Pushed at: 14 days ago - Stars: 52 - Forks: 14

qntwrsm/DynamicFactorModels.jl

Provides methods for dynamic factor models, such as estimation, w/ and w/o penalization, forecasting and filtering

Language: Julia - Size: 254 KB - Last synced at: 15 days ago - Pushed at: 15 days ago - Stars: 0 - Forks: 1

Cambridge-KAIST-smallLM/SmallLM

Cambridge-KAIST Small Language Models

Language: Jupyter Notebook - Size: 3.7 MB - Last synced at: 18 days ago - Pushed at: 18 days ago - Stars: 0 - Forks: 1

michael-cummins/DeePC-Hunt

[L4DC 2025] Automatic hyperparameter tuning for DeePC. Built by Michael Cummins at the Automatic Control Laboratory, ETH Zurich.

Language: Python - Size: 26.5 MB - Last synced at: 17 days ago - Pushed at: 6 months ago - Stars: 21 - Forks: 2

jrbourbeau/pyunfold

Iterative unfolding for Python

Language: Python - Size: 6.82 MB - Last synced at: 10 days ago - Pushed at: over 4 years ago - Stars: 28 - Forks: 13

zhangyikaii/LAMDA-ZhiJian

ZhiJian: A Unifying and Rapidly Deployable Toolbox for Pre-trained Model Reuse

Language: Python - Size: 13 MB - Last synced at: about 1 hour ago - Pushed at: almost 2 years ago - Stars: 51 - Forks: 2

ZhouYuxuanYX/Maximum-Suppression-Regularization

This is the official repository of our paper "MaxSup: Overcoming Representation Collapse in Label Smoothing"

Language: Jupyter Notebook - Size: 19.6 MB - Last synced at: 23 days ago - Pushed at: 24 days ago - Stars: 9 - Forks: 2

hazimehh/L0Learn

Efficient Algorithms for L0 Regularized Learning

Language: C++ - Size: 71.4 MB - Last synced at: 21 days ago - Pushed at: over 1 year ago - Stars: 101 - Forks: 31

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

Language: Python - Size: 31.8 MB - Last synced at: 28 days ago - Pushed at: about 5 years ago - Stars: 6,993 - Forks: 1,380

callmekeyboardman/Machine-Learning-Andrew-Ng

机器学习-Coursera-吴恩达- python+Matlab代码实现

Language: MATLAB - Size: 23.3 MB - Last synced at: 15 days ago - Pushed at: about 3 years ago - Stars: 193 - Forks: 69

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

Language: Jupyter Notebook - Size: 207 MB - Last synced at: about 1 month ago - Pushed at: about 2 months ago - Stars: 3,680 - Forks: 2,511

miguelvr/dropblock

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

Language: Python - Size: 48.8 KB - Last synced at: 2 days ago - Pushed at: almost 5 years ago - Stars: 596 - Forks: 95

clovaai/CutMix-PyTorch

Official Pytorch implementation of CutMix regularizer

Language: Python - Size: 198 KB - Last synced at: about 1 month ago - Pushed at: almost 5 years ago - Stars: 1,240 - Forks: 158

abhinabasaha/ml

Language: Jupyter Notebook - Size: 960 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 2 - Forks: 0

johannesu/point-cloud

Curvature-based point-cloud regularization

Language: C++ - Size: 1.26 MB - Last synced at: 4 days ago - Pushed at: almost 10 years ago - Stars: 4 - Forks: 2

dmazilkin/ML-LinearRegression

Linear Regression implementation from scratch.

Language: Jupyter Notebook - Size: 165 KB - Last synced at: 25 days ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

mahnoorsheikh16/Node-Classification-with-Graph-Neural-Networks

Evaluation of multiple graph neural network models—GCN, GAT, GraphSAGE, MPNN and DGI—for node classification on graph-structured data. Preprocessing includes feature normalization and adjacency-matrix regularization, and an ensemble of model predictions boosts performance. The best ensemble achieves 83.47% test accuracy.

Language: Jupyter Notebook - Size: 286 KB - Last synced at: 24 days ago - Pushed at: about 1 month ago - Stars: 1 - Forks: 0

nianticlabs/diffusionerf

[CVPR 2023] DiffusioNeRF: Regularizing Neural Radiance Fields with Denoising Diffusion Models

Language: Python - Size: 2.43 MB - Last synced at: about 1 month ago - Pushed at: over 1 year ago - Stars: 304 - Forks: 17

BhargaviM0729/MNIST-Handwritten-Digit-Classification-with-Neural-Networks

This project involves training a neural network to classify grayscale images of handwritten digits from the MNIST dataset. Each image is 28x28 pixels and labeled with the correct digit (0–9). The goal is to build a model that can accurately predict the digit shown in a new, unseen image.

Language: Jupyter Notebook - Size: 70.3 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

radubauzh/multiplicative-regularization-for-nn

Investigating the effects of an innovative L2 regularization approach in a neural network model, replacing the traditional summation of squared weights with a multiplicative interaction of weights, to assess its influence on model behavior and performance.

Language: Python - Size: 25.4 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

IntelLabs/distiller 📦

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

Language: Jupyter Notebook - Size: 40.5 MB - Last synced at: about 2 months ago - Pushed at: about 2 years ago - Stars: 4,390 - Forks: 805

mimihime0/CNN-Fashion-MNIST-Classifier

A convolutional neural network (CNN) for classifying the Fashion-MNIST dataset. Includes experiments with regularization techniques, data augmentation, and hyperparameter tuning to optimize model performance, achieving 89.76% test accuracy.

Language: Jupyter Notebook - Size: 1.14 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

huguryildiz/MLbasics

A collection of Jupyter Notebooks covering Regression, Classification, Neural Networks, Decision Trees, and ML Best Practices with hands-on implementations using Scikit-Learn, TensorFlow, and XGBoost.

Language: Jupyter Notebook - Size: 2.75 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

StructuralEquationModels/StructuralEquationModels.jl

A fast and flexible Structural Equation Modelling Framework

Language: Julia - Size: 3.65 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 49 - Forks: 6

aidinattar/LoCP_MODB

Exercises of the Laboratory of Computational Physics Mod. B

Language: Python - Size: 134 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 1 - Forks: 1

AhmetZamanis/LoanRequestClassification

Imbalanced classification with loan clients dataset.

Language: R - Size: 835 KB - Last synced at: about 1 month ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

geospace-code/airtools

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

Language: Python - Size: 143 KB - Last synced at: 1 day ago - Pushed at: over 1 year ago - Stars: 13 - Forks: 3

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"

Language: Python - Size: 11 MB - Last synced at: about 2 months ago - Pushed at: over 4 years ago - Stars: 111 - Forks: 18

machinelearningnuremberg/WellTunedSimpleNets

[NeurIPS 2021] Well-tuned Simple Nets Excel on Tabular Datasets

Language: Python - Size: 95.7 KB - Last synced at: 28 days ago - Pushed at: over 2 years ago - Stars: 85 - Forks: 15

m-clark/introduction-to-machine-learning

A document covering machine learning basics. 🤖📊

Language: R - Size: 89.9 MB - Last synced at: about 2 months ago - Pushed at: over 2 years ago - Stars: 27 - Forks: 13

romain-e-lacoste/sparklen

A statistical learning toolkit for high-dimensional Hawkes processes in Python

Language: Python - Size: 250 KB - Last synced at: 23 days ago - Pushed at: 2 months ago - Stars: 10 - Forks: 0

distcomp/SvF

Implementation of SvF-technology of balanced identification of mathematical models by experimental data

Language: Python - Size: 34.7 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 1 - Forks: 0

farshad257/CNN_FER-2013

A 5-layer CNN model for facial emotion recognition trained on FER-2013. Achieved 76% validation and 63% test accuracy using data augmentation. Key features include convolutional layers, max pooling, and dropout. Suitable for human-computer interaction applications.

Language: Jupyter Notebook - Size: 1.66 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

novianggita/Regularized-Regression

This project explores Regularized Regression techniques—Ridge and LASSO—to predict housing prices using the Boston Housing dataset

Language: Jupyter Notebook - Size: 2.47 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

DeepWave-KAUST/diffefwi

Official repository for the "Learned regularizations for multi-parameter elastic full waveform inversion using diffusion models" paper.

Language: Jupyter Notebook - Size: 128 MB - Last synced at: 3 months ago - Pushed at: 8 months ago - Stars: 31 - Forks: 4

ononak/Reckon

Scientific tool for estimation problems.

Language: C++ - Size: 1.35 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

TomographicImaging/CCPi-Regularisation-Toolkit

The set of CPU/GPU optimised regularisation modules for iterative image reconstruction and other image processing tasks

Language: C - Size: 106 MB - Last synced at: 29 days ago - Pushed at: 7 months ago - Stars: 56 - Forks: 25

prathamp25/Regularisation-in-VAE-Model

Applyed regularization techniques to improvise the performance of VAE Model such as L1/L2 Regularization (Weight Decay), Dropout, Batch Normalization, Beta-VAE (Modified KL Divergence Term), Data Augmentation

Language: Jupyter Notebook - Size: 317 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

Jo-Werner/movielensML

R project with machine learning on the movielens dataset.

Language: R - Size: 780 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

deliprofesor/Ridge-Regression-for-Sales-Prediction-Model-Evaluation-and-Hyperparameter-Tuning

This project builds and optimizes a model on a dataset using Ridge regression and polynomial features. Model accuracy is enhanced through regularization and polynomial transformations. Grid search and cross-validation are used to find the best parameters, and the model's performance is evaluated.

Language: Python - Size: 125 KB - Last synced at: about 1 month ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0

Papagiannopoulos/PhD_1st_research

1st PhD scientific research: The machine learning development on how i associated highly collerated big scaled molecular data with numerous traits

Language: R - Size: 63.5 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 1

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

Language: Jupyter Notebook - Size: 662 MB - Last synced at: about 2 months ago - Pushed at: over 6 years ago - Stars: 40 - Forks: 13

cookepm/elo-grad

Extended Elo rating system implementation based on the equivalence with logistic regression.

Language: Python - Size: 2.99 MB - Last synced at: 28 days ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

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

An Interactive Approach to Understanding Deep Learning with Keras

Language: Jupyter Notebook - Size: 229 MB - Last synced at: 2 months ago - Pushed at: over 2 years ago - Stars: 51 - Forks: 91

1adityakadam/Weather-History-Data-Analysis-and-Predictive-Modeling

The Weather-History-Data-Analysis-and-Predictive-Modeling project predicts weather patterns using regression models and correlation analysis, visualizes relationships, & uses K-Fold cross-validation to enhance model robustness

Language: Jupyter Notebook - Size: 1.47 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

Shashiawari/Defungi-CNN

Defungi is a deep learning project that leverages Convolutional Neural Networks (CNNs) to classify images of fungal infections into five distinct classes: H1, H2, H3, H5, and H6. The model is trained on the Defungi dataset, showcasing the application of CNNs for medical image classification to assist in the identification of different fungal types.

Language: Jupyter Notebook - Size: 85 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

nakulpandit/ml_1

Machine Learning

Language: Jupyter Notebook - Size: 2.86 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

ahsan-83/Machine-Learning-Specialization-Coursera

Machine Learning Specialization course offered by DeepLearning.AI on Coursera

Language: HTML - Size: 139 MB - Last synced at: 3 months ago - Pushed at: 7 months ago - Stars: 3 - Forks: 1

jiachens/ModelNet40-C

Repo for "Benchmarking Robustness of 3D Point Cloud Recognition against Common Corruptions" https://arxiv.org/abs/2201.12296

Language: Python - Size: 25.9 MB - Last synced at: 3 months ago - Pushed at: almost 2 years ago - Stars: 205 - Forks: 25

lmizner/ECE219_DataMining

Course work from UCLA's ECE219 - Large-Scale Data Mining

Language: Jupyter Notebook - Size: 36.7 MB - Last synced at: 3 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

BobbyWilt/Spotify_Song_Recommender

This project leverages spotify's api and provided user playlists to create and tune a neural network model that generates song recommendations based off of song data in provided playlists.

Language: Jupyter Notebook - Size: 11.8 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 30 - Forks: 1

Zer0-Bug/ML_GradientDescent-.-FindThetaValues

Implementation is to use gradient descent to find the optimal values of θ that minimize the cost function.

Language: Python - Size: 1.17 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 1 - Forks: 0

drkocoglu/Patter_Recognition_Class

Pattern Recognition - ECE - TTU - Spring 2021

Language: MATLAB - Size: 21.2 MB - Last synced at: 3 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

SedCore/FTDropBlock

Features-Time DropBlock (FT-DropBlock) regularization strategy for EEG-based CNNs.

Size: 19.5 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

iamisha/Deep-Learning-Specialization-Coursera

The Coursera Deep Learning Specialization by deeplearning.ai offers notes, assignments, and quizzes for courses like Neural Networks, Hyperparameter Tuning, ML Projects, and CNNs.

Language: Jupyter Notebook - Size: 1.73 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 1 - Forks: 0

g8a9/ear

Code associated with the paper "Entropy-based Attention Regularization Frees Unintended Bias Mitigation from Lists"

Language: Python - Size: 237 KB - Last synced at: 27 days ago - Pushed at: about 3 years ago - Stars: 48 - Forks: 5

kingculme0/excel-2021

Progrаm for free download Microsoft Excel 2021 here

Size: 7.5 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

nikita631/excel-2021

Progrаm for free download Microsoft Excel 2021 here

Size: 1000 Bytes - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

ViktorAJStein/Regularized_f_Divergence_Particle_Flows

Discretized Wasserstein Particle Flows of a MMD-regularized f-divergence functional.

Language: Python - Size: 41.6 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 1 - Forks: 1

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.

Language: Jupyter Notebook - Size: 3.97 MB - Last synced at: 3 months ago - Pushed at: almost 4 years ago - Stars: 4 - Forks: 1

3dem/relion

Image-processing software for cryo-electron microscopy

Language: C++ - Size: 58.2 MB - Last synced at: 4 months ago - Pushed at: 5 months ago - Stars: 465 - Forks: 205

jrenstat/regnet

Network-Based Regularization for Generalized Linear Models

Language: R - Size: 5.9 MB - Last synced at: 25 days ago - Pushed at: 5 months ago - Stars: 4 - Forks: 4

dpruthardt/Classification-ModelTuning

The objective is to build various classification models, tune them and find the best model that will help identify machine failures.

Language: HTML - Size: 4.55 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

Westlake-AI/SEMA

Switch EMA: A Free Lunch for Better Flatness and Sharpness

Language: Python - Size: 2.19 MB - Last synced at: about 1 month ago - Pushed at: over 1 year ago - Stars: 26 - Forks: 2

arjuntheprogrammer/TheSchoolOfAI

Projects for The School of AI

Language: Jupyter Notebook - Size: 444 MB - Last synced at: 2 months ago - Pushed at: over 2 years ago - Stars: 7 - Forks: 5

pngo1997/Convolutional-Neural-Network-Intel-Image-Classification

Experiments with Convolutional Neural Networks (CNNs) to classify images from the Intel Image Classification dataset.

Language: Jupyter Notebook - Size: 11.6 MB - Last synced at: 4 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

pngo1997/Neural-Network-Modifications-Hyperparameter-Experiments

Modifies a neural network's hyperparameters, activation functions, cost functions, and regularization methods to improve training performance and generalization.

Language: Jupyter Notebook - Size: 73.2 KB - Last synced at: 4 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

pngo1997/Fashion-MNIST-Classification-with-TensorFlow-Keras

Explores image classification using a Multi-layer Feed-Forward Neural Network on the Fashion MNIST dataset.

Language: Jupyter Notebook - Size: 839 KB - Last synced at: 4 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

Adesoji1/Food-Image-Classification

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

Language: Jupyter Notebook - Size: 16.2 MB - Last synced at: 3 months ago - Pushed at: almost 2 years ago - Stars: 7 - Forks: 2

Danielr1312/Predictive_Analytics_Projects

A set of 'just-for-fun' predictive analytics projects

Language: Jupyter Notebook - Size: 23.2 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

matcor852/NeuralNet 📦

Polyvalent neural network

Language: C - Size: 36.1 KB - Last synced at: 3 months ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

DanielDialektico/mlektic

A simple machine learning python library.

Language: Python - Size: 2.38 MB - Last synced at: 29 days ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

vikasverma1077/manifold_mixup

Code for reproducing Manifold Mixup results (ICML 2019)

Language: Python - Size: 40.4 MB - Last synced at: 3 months ago - Pushed at: about 1 year ago - Stars: 487 - Forks: 63

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

Language: MATLAB - Size: 13.1 MB - Last synced at: 6 days ago - Pushed at: almost 5 years ago - Stars: 6 - Forks: 6

Vekteur/quantile-recalibration-training

Accompanying repository for the paper "Probabilistic Calibration by Design for Neural Network Regression" (AISTATS 2024).

Language: Python - Size: 276 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 1 - Forks: 0

Nahom32/Regularization-Assignment

This repository is for a machine learning assignment on regularization.

Language: Jupyter Notebook - Size: 1.89 MB - Last synced at: 4 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

hiyouga/AMP-Regularizer

Code for our paper "Regularizing Neural Networks via Adversarial Model Perturbation", CVPR2021

Language: Python - Size: 97.7 KB - Last synced at: 3 months ago - Pushed at: about 4 years ago - Stars: 36 - Forks: 9

minar09/awesome-deep-learning-techniques

A curated list of awesome deep learning techniques for deep neural networks training, testing, optimization, regularization etc.

Size: 9.77 KB - Last synced at: 10 days ago - Pushed at: about 5 years ago - Stars: 9 - Forks: 2

s-chh/PatchSwap

Official Pytorch code for PatchSwap: A Regularization Technique for Vision Transformers

Language: Python - Size: 12.7 KB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 5 - Forks: 0

Abdoelabassi/Machine-Learning-Specialization

Machine Learning: Regression and Classification. Andrew presents a course in introduction to machine learning, with practice in regression and classification for the first and second course, and the third course focuses on recommender systems and reinforcement learning.

Language: Jupyter Notebook - Size: 36.9 MB - Last synced at: 2 days ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

avik-pal/RegNeuralDE.jl

Official Implementation of "Opening the Blackbox: Accelerating Neural Differential Equations by Regularizing Internal Solver Heuristics" (ICML 2021)

Language: Julia - Size: 259 KB - Last synced at: 22 days ago - Pushed at: almost 3 years ago - Stars: 26 - Forks: 4

himanshumahajan138/TransferVision

Transfer learning for image classification using pre-trained models like ResNet50, ResNet100, EfficientNetB0, and VGG16 in Keras. Fine-tunes the last layers, applies image augmentation, and evaluates with Precision, Recall, AUC, F1 score, and early stopping for improved performance.

Language: Jupyter Notebook - Size: 1.41 MB - Last synced at: 21 days ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0