overfitting | Topic | Ecosyste.ms: Repos

Topic: "overfitting"

lijqhs/deeplearning-notes

Notes for Deep Learning Specialization Courses led by Andrew Ng.

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EnnengYang/Awesome-Forgetting-in-Deep-Learning

A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual Learning. TPAMI, 2024.

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modestyachts/ImageNetV2

A new test set for ImageNet

Language: Jupyter Notebook - Size: 120 MB - Last synced at: 30 days ago - Pushed at: about 2 years ago - Stars: 252 - Forks: 27

LayneH/self-adaptive-training

[TPAMI2022 & NeurIPS2020] Official implementation of Self-Adaptive Training

Language: Python - Size: 91.8 KB - Last synced at: 6 months ago - Pushed at: over 3 years ago - Stars: 127 - Forks: 23

HannaMeyer/CAST

Developer Version of the R package CAST: Caret Applications for Spatio-Temporal models

Language: R - Size: 79.9 MB - Last synced at: 16 days ago - Pushed at: 16 days ago - Stars: 115 - Forks: 29

evgenii-nikishin/rl_with_resets

JAX implementation of deep RL agents with resets from the paper "The Primacy Bias in Deep Reinforcement Learning"

Language: Python - Size: 1.1 MB - Last synced at: 2 months ago - Pushed at: about 3 years ago - Stars: 101 - Forks: 7

georgezoto/TensorFlow-in-Practice

TensorFlow in Practice Specialization. Join our Deep Learning Adventures community 🎉 and become an expert in Deep Learning, TensorFlow, Computer Vision, Convolutional Neural Networks, Kaggle Challenges, Data Augmentation and Dropouts Transfer Learning, Multiclass Classifications and Overfitting and Natural Language Processing NLP as well as Time Series Forecasting 😀 All while having fun learning and participating in our Deep Learning Trivia games 🎉 http://bit.ly/deep-learning-tf

Language: Jupyter Notebook - Size: 124 MB - Last synced at: over 1 year ago - Pushed at: almost 5 years ago - Stars: 59 - Forks: 24

VITA-Group/Alleviate-Robust-Overfitting

[ICLR 2021] "Robust Overfitting may be mitigated by properly learned smoothening" by Tianlong Chen*, Zhenyu Zhang*, Sijia Liu, Shiyu Chang, Zhangyang Wang

Language: Python - Size: 646 KB - Last synced at: about 2 months ago - Pushed at: over 3 years ago - Stars: 46 - Forks: 5

marcojira/fld

PyTorch code for FLD (Feature Likelihood Divergence), FID, KID, Precision, Recall, etc. using DINOv2, InceptionV3, CLIP, etc.

Language: Python - Size: 257 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 23 - Forks: 5

szilard/GBM-tune

Tuning GBMs (hyperparameter tuning) and impact on out-of-sample predictions

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CasperKristiansson/Elements-of-AI-Building-AI

All exercises for the course Elements of AI - Building AI

Language: Python - Size: 20.5 KB - Last synced at: about 2 months ago - Pushed at: over 3 years ago - Stars: 20 - Forks: 26

mingzhang-yin/Meta-learning-without-memorization

A study on the following problems: what the memorization problem is in meta-learning; why memorization problem happens; and how we can prevent it. (ICLR 2020)

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TsingZ0/GPFL

ICCV 2023 accepted paper, GPFL: Simultaneously Learning Global and Personalized Feature Information for Personalized Federated Learning

Language: Python - Size: 21.4 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 17 - Forks: 1

mainkoon81/Study-09-MachineLearning-B

**Supervised-Learning** (with some Kaggle winning solutions and their reason of Model Selection for the given dataset).

Language: Jupyter Notebook - Size: 981 KB - Last synced at: about 2 years ago - Pushed at: over 5 years ago - Stars: 16 - Forks: 12

Amitha353/Machine-Learning-Regression

Machine-Learning-Regression

Language: Jupyter Notebook - Size: 10 MB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 13 - Forks: 12

WalidGharianiEAGLE/spatial-kfold

spatial resampling for more robust cross validation in spatial studies

Language: Python - Size: 2.17 MB - Last synced at: 13 days ago - Pushed at: 6 months ago - Stars: 12 - Forks: 0

gabrieldim/Baby-Health-Data-Science

Baby Health model made in Python.

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georgezoto/Deep-Learning-Adventures

Deep Learning Adventures. Join our Deep Learning Adventures community 🎉 and become an expert in Deep Learning, TensorFlow, Computer Vision, Convolutional Neural Networks, Kaggle Challenges, Data Augmentation and Dropouts Transfer Learning, Multiclass Classifications and Overfitting and Natural Language Processing NLP as well as Time Series Forecasting 😀 All while having fun learning and participating in our Deep Learning Trivia games 🎉 http://bit.ly/deep-learning-tf

Size: 29.1 MB - Last synced at: over 1 year ago - Pushed at: almost 5 years ago - Stars: 11 - Forks: 4

bmcmenamin/thresholdOut-explorations

playing with Dwork's adaptive holdout and how to use it for a grid-search

Language: Jupyter Notebook - Size: 1.01 MB - Last synced at: over 2 years ago - Pushed at: over 7 years ago - Stars: 11 - Forks: 3

anshul1004/DecisionTree

Decision Tree classifier from scratch without any machine learning libraries

Language: Python - Size: 24.4 KB - Last synced at: over 1 year ago - Pushed at: over 5 years ago - Stars: 9 - Forks: 6

fau-masters-collected-works-cgarbin/dropout-vs-batch-normalization

Dropout vs. batch normalization: effect on accuracy, training and inference times - code for the paper

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stoneMo/SLAVC

Official Codebase of "A Closer Look at Weakly-Supervised Audio-Visual Source Localization" (NeurIPS 2022)

Language: Python - Size: 15.6 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 7 - Forks: 1

sharmaroshan/Don-t-Overfit

It is from Kaggle Competitions where the training dataset is very small and the testing dataset is very large and we have to avoid or reduce overfiting by looking for best possible ways to overcome the most popular problem faced in field of predictive analytics.

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klemenjak/nilm-transferability-metrics

Metrics to assess the generalisation ability of NILM algorithms

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HIIT/human-overfitting-in-IML

User Modelling for Avoiding Overfitting in Interactive Knowledge Elicitation for Prediction

Language: Matlab - Size: 19.1 MB - Last synced at: about 1 year ago - Pushed at: about 7 years ago - Stars: 5 - Forks: 1

emmachollet/ComparSDMsQuantifOverfitSuppInterpr_DataPackage

Package with data, scripts and plots for manuscript "A comparison of machine learning and statistical species distribution models: when overfitting hurts interpretation" (submitted to Ecological Modelling, Dec 2022)

Language: R - Size: 290 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 4 - Forks: 1

11785-Group-9/BMN-Boundary-Matching-Network Fork of JJBOY/BMN-Boundary-Matching-Network

Pytorch implementation of the paper: "BMN: Boundary-Matching Network for Temporal Action Proposal Generation", along with three new modules to address overfitting issues found in the baseline model, and their ablation studies.

Language: Python - Size: 3.81 MB - Last synced at: 29 days ago - Pushed at: over 3 years ago - Stars: 4 - Forks: 3

YenLinWu/Daily_Work_of_Data_Science

資料科學的日常研究議題

Language: Jupyter Notebook - Size: 19.1 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 3 - Forks: 1

austincorum/Dropout-NeuralNetworks

Dropout: A Simple Way to Prevent Neural Networks from Overfitting

Language: Python - Size: 11.4 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 3 - Forks: 1

rpatrik96/lod-wmm-2019

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

Language: Python - Size: 111 KB - Last synced at: 5 days ago - Pushed at: almost 6 years ago - Stars: 3 - Forks: 0

ChenLiu-1996/CorruptedDataLoader

Pytorch DataLoader wrapper to intentionally mess up, corrupt, shuffle, randomize the input/label correspondence.

Language: Python - Size: 22.5 KB - Last synced at: 5 days ago - Pushed at: about 2 years ago - Stars: 2 - Forks: 0

neural-tangjie/NTJ-AIMed_2_Prognosis

:octocat: This repository contains the notes, codes, assignments, quizzes and other additional materials about the course "AI for Medical Prognosis" from DeepLearning.AI Coursera.

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mli42/python_bootcamp

42AI Bootcamps - Python & Machine Learning

Language: Python - Size: 7.46 MB - Last synced at: about 2 months ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 2

Foroozani/Machine-Learning

:construction: ML algorithms, employing different approaches

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bhattbhavesh91/regularization-neural-networks

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

Language: Jupyter Notebook - Size: 156 KB - Last synced at: about 2 months ago - Pushed at: about 4 years ago - Stars: 2 - Forks: 3

sbrhss/ML-MATLAB

Machine Learning with MATLAB

Language: MATLAB - Size: 28.8 MB - Last synced at: over 1 year ago - Pushed at: about 5 years ago - Stars: 2 - Forks: 3

zxuuuustupid/cifar10

use CNN to fit cifar10,but overfitting

Language: Python - Size: 18.6 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

djdhairya/Speech-Emotion-Recognition-

Predicting various emotion in human speech signal by detecting different speech components affected by human emotion.

Language: Jupyter Notebook - Size: 476 MB - Last synced at: about 2 months ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 3

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: 6 days ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

XinshaoAmosWang/XinshaoAmosWang.github.io

Xinshao Wang, Ex-Postdoc and Ex-Visit Scholar@University of Oxford, Ex-Senior Researcher@ZenithAI

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DanielWicz/ClippedNoiseSoftmax

Clipped Noise Softmax to overcome over-fitting with Softmax - PyTorch implementation

Language: Python - Size: 17.6 KB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 1 - Forks: 0

HasibAlMuzdadid/Pet-Image-Classification

Classification between pet images using different approaches on famous cats vs dogs dataset available on kaggle.

Language: Jupyter Notebook - Size: 592 KB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

david-adewoyin/machine_learning_basics

Plain Python Implementation of popular machine learning algorithms from scratch. Algorithms includes: Linear Regression, Logistic Regression, Softmax, Kmeans, Decision Tree,Bagging, Random Forest, etc.

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pixel-debug/Machine-Learning

Códigos e enunciados utilizados no curso de Aprendizado de Máquina feito em 2020.

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alkhdaniel/Elements-of-AI-Building-AI---Advanced

Elements of AI: Building AI - Advanced is an online course by Reaktor and University of Helsinki worth 2 ECTS.

Language: Python - Size: 39.1 KB - Last synced at: about 2 years ago - Pushed at: about 3 years ago - Stars: 1 - Forks: 1

kpetridis24/global-optimization

Unknown function approximation, given input-output measurements, using Genetic Algorithm

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vvittis/MachineLearning

Size: 20 MB - Last synced at: over 2 years ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

bhattbhavesh91/dropout-walkthrough

A repository to show how Dropout in Keras can Prevent Overfitting

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ksonod/deep_learning_with_python

My notebooks on the book "Deep Learning with Python" by Francois Chollet (2018)

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alejandrods/Noise-Regularization-Method-Neural-Network

Adding noise as regularization method to reduce overffiting in neural networks

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codeKk21/Classification-Optimization-technique

Fraud detection over twitter feed data

Language: MATLAB - Size: 873 KB - Last synced at: over 2 years ago - Pushed at: over 5 years ago - Stars: 1 - Forks: 0

armanr99/NeuralNetwork

An implementation of neural network with regularization

Language: Jupyter Notebook - Size: 1010 KB - Last synced at: about 2 years ago - Pushed at: over 5 years ago - Stars: 1 - Forks: 0

faezeamin/ML-Logistic-Regression

Logistic Regression algorithm to classify two classes of 2-D data samples using 1) 2-D feature vector & 2) its mapping to a higher dimensional feature space.

Language: MATLAB - Size: 6.84 KB - Last synced at: almost 2 years ago - Pushed at: almost 6 years ago - Stars: 1 - Forks: 0

Niranjankumar-c/OverFitting

Analyse OverFitting of data

Language: R - Size: 545 KB - Last synced at: over 1 year ago - Pushed at: over 6 years ago - Stars: 1 - Forks: 1

vc1492a/us-state-under-over-fitting

A visual example of the concepts of under and overfitting in supervised machine learning using U.S. state border data.

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jamesdhope/regression-models

A series of documented Jupyter notebooks implementing polynomial regression models and model performance analysis

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wind-m05/System-Identification-course

Introduction of system identification on an unkown plant with various models.

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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.

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rafanahmed/QC-RNN-Overfitting-CaseStudy

Case study of an overfit QuantConnect RNN trading strategy for SPY. Demonstrates pitfalls of lookahead bias in backtesting ML models.

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CAI991108/Machine-Learning-Utils

This repository contains the Python code and solutions for machine learning, including supervised and unsupervised learning, regularization, cross-validation, PCA, and support vector machines (SVM).

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surafiel-habib/Transformer-Based-Amharic-to-English-Machine-Translation-with-Character-Embedding-and-Combined-Regul

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theo-liang/Python-Project-Analysis-for-ClimateWins

This project analyzes historical weather data to identify patterns and predict future weather conditions, focusing on extreme events and temperature trends across Europe.

Language: Jupyter Notebook - Size: 76.1 MB - Last synced at: 3 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

jaygwelsh/PhiMonitor-ML-Drift-Overfitting-Detector

A Python library for monitoring machine learning models, detecting data drift and overfitting to ensure robust and reliable performance.

Language: Python - Size: 17.6 KB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

harmanveer-2546/Guide-to-Regularization

Regularization is a crucial technique in machine learning that helps to prevent overfitting. Overfitting occurs when a model becomes too complex and learns the training data so well that it fails to generalize to new, unseen data.

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Robby955/HighDimensionalData

Code used to generate results from Chapter 18 of The Elements of Statistical Learning

Language: R - Size: 367 KB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

SuyashMali/data-augmentation-cnn

This repository explores how data augmentation helps mitigate overfitting in CNNs with limited training data.

Language: Jupyter Notebook - Size: 298 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

Udacity-MachineLearning-Internship/ReducingOverfitting

Reducing overfitting in perdiction in decision trees

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DmAlexx/Overfitting

Overfitting

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BuddyBent/Titanic

We explore the Titanic Kaggle competition, employing advanced analytics and machine learning to accurately predict survival rates. This repository serves as a detailed guide for all levels, offering visual insights, data preprocessing methods, and model comparisons.

Language: Jupyter Notebook - Size: 22.6 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

KavindaBandara321/Model-overfitting-and-Underfitting

Overfitting is often caused by using a model with too many parameters or if the model is too powerful for the given dataset. On the other hand, underfitting is often caused by the model with too few parameters or by using a model that is not powerful enough for the given dataset. In this we are discussing about that.

Size: 484 KB - Last synced at: 13 days ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

sciencenerd880/regression_polynomial

Supervised Learning - Regression Algorithm

Language: Jupyter Notebook - Size: 493 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

chiapeilin/Linear-Regression

Write code of linear regression by gradient descent with regularization, and examine the overfitting and underfitting effect.

Language: Jupyter Notebook - Size: 1.44 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

felipenufisnor/ML_validation_optimization

Machine Learning: model optimization through hyperparameters

Language: Jupyter Notebook - Size: 188 KB - Last synced at: 10 months ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

john-fante/svm-xgboost-lightgbm-ensemble-method-w-noised-dataset

I tried to deal with the overfitting problem using only the AI-generated training set.

Language: Jupyter Notebook - Size: 634 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

fardinabbasi/Decision_Tree

Machine Learning Course [ECE 501] - Spring 2023 - University of Tehran - Dr. A. Dehaqani, Dr. Tavassolipour

Language: Jupyter Notebook - Size: 571 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

alexmaf90/Machine-Learning-with-Python-

Series of tutorials from Resolving Python on how to compute different algorithms for predicting the future based on tabular data.

Language: Jupyter Notebook - Size: 2.16 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

riccmon/Deep-Learning

Lab Sessions of the Deep Learning course - Master's degree in Artificial Intelligence at UniBo

Language: Jupyter Notebook - Size: 4.11 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

hwixley/EMNIST-NeuralNet-Regularisation-Experiments

A study of the problem of overfitting in deep neural networks, how it can be detected, and prevented using the EMNIST dataset. This was done by performing experiments with depth and width, dropout, L1 & L2 regularization, and Maxout networks.

Language: Jupyter Notebook - Size: 137 MB - Last synced at: almost 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

andressagomes26/CNN_TensorFlow

Curso Convolutional Neural Networks in TensorFlow disponibilizado pela DeepLearning.AI e ministrado através do Coursera

Language: Jupyter Notebook - Size: 1.45 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

kyaiooiayk/Donts-in-Machine-Learning-Notes

Notes, tutorials, code snippets and templates focused on Don'ts for Machine Learning

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jaunel/Live-detection-of-Sunglasses

Developed CNN model with 93% validation accuracy using techniques like Dropouts & Batch Normalization. Using haar cascade of Computer Vision It is then used to detect sunglasses on real time basis

Language: Jupyter Notebook - Size: 282 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

Mojtaba-Alehosseini/Machine-Learning

Language: Jupyter Notebook - Size: 42 KB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

kimy-de/disturbvalue

DisturbValue: a regularization method for regressioin tasks

Language: Python - Size: 4.88 KB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0

AnuragSChatterjee/Introduction-To-Machine-Learning-In-Python-On-Kaggle

Pursued an Introductory Machine Learning course in Python on Kaggle in my free time, where I practiced on a dataset and built a small model on Kaggle.

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hwixley/MLP-coursework1-report

Machine Learning Practical - Coursework 1 Report: a study of the problem of overfitting in deep neural networks, how it can be detected, and prevented using the EMNIST dataset. This was done by performing experiments with depth and width, dropout, L1 & L2 regularization, and Maxout networks.

Language: TeX - Size: 1.44 MB - Last synced at: almost 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0