Projects in Awesome Lists tagged with overfitting

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

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https://github.com/lijqhs/deeplearning-notes

Notes for Deep Learning Specialization Courses led by Andrew Ng.

algorithms andrew-ng backpropagation bias-variance cnn coursera data-analysis data-science deep-learning deeplearning hyperparameter-optimization machine-learning neural-network notes overfitting sequence-models statistics summary tensorflow

Last synced: 10 Apr 2025

https://github.com/modestyachts/ImageNetV2

A new test set for ImageNet

dataset generalization imagenet overfitting robustness

Last synced: 08 May 2025

https://github.com/LayneH/self-adaptive-training

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

adversarial-robustness computer-vision generalization label-noise machine-learning overfitting

Last synced: 19 Jul 2025

https://github.com/evgenii-nikishin/rl_with_resets

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

atari atari2600 deep-learning deep-reinforcement-learning deepmind-control-suite dmc drq flax gym jax machine-learning overfitting reinforcement-learning sac soft-actor-critic spr

Last synced: 13 Aug 2025

https://github.com/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

adversarial-robustness generalization-ability overfitting smoothing

Last synced: 19 Apr 2025

https://github.com/szilard/gbm-tune

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

gbm gradient-boosting-machine hyperparameter-optimization machine-learning overfitting

Last synced: 06 Mar 2025

https://github.com/casperkristiansson/elements-of-ai-building-ai

All exercises for the course Elements of AI - Building AI

bayes-classifier bayes-rule building-ai deep-learning elements-of-ai hill-climbing linear-regression linear-regression-models logistic-regression machine-learning naive-bayes naive-bayes-algorithm naive-bayes-classifier nearest-neighbor-search neural-networks overfitting probability-fundamentals

Last synced: 01 Sep 2025

https://github.com/gabrieldim/baby-health-data-science

Baby Health model made in Python.

batch convolution-layer dense-layer epochs neural-network overfitting

Last synced: 10 Jul 2025

https://github.com/klemenjak/nilm-transferability-metrics

Metrics to assess the generalisation ability of NILM algorithms

energy-disaggregation generalisation nilmtk non-intrusive-load-monitoring overfitting transferability

Last synced: 04 Mar 2026

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: 28 Apr 2026

https://github.com/chenliu-1996/corrupteddataloader

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

dataloader deep-learning deep-neural-networks label mismatch overfitting pytorch random-labelling

Last synced: 17 Jan 2026

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: 09 Mar 2026

https://github.com/mli42/python_bootcamp

42AI Bootcamps - Python & Machine Learning

linear-regression logistic-regression machine-learning overfitting python regularization

Last synced: 09 Jul 2025

https://github.com/djdhairya/speech-emotion-recognition-

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

audio-processing convolutional-neural-networks data-science deep-learning emotion-detection emotion-recognition kersa librosa natural-language-processing nuralnetwork overfitting python pytorch rnn speech-emotion-recognition speech-processing speech-recognition voice

Last synced: 13 Apr 2025

https://github.com/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.

bias-variance d3 d3js machine-learning overfitting supervised-learning underfitting visualization

Last synced: 20 Apr 2026

https://github.com/kpetridis24/global-optimization

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

evolutionary-algorithms genetic-algorithm global-optimizers optimization overfitting

Last synced: 29 May 2026

https://github.com/bhattbhavesh91/dropout-walkthrough

A repository to show how Dropout in Keras can Prevent Overfitting

dropout dropout-keras keras keras-neural-networks keras-tensorflow neural-networks overfitting

Last synced: 18 Apr 2026

https://github.com/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).

gradient-descent machine-learning machine-learning-algorithms overfitting regularization subgradient svm validation

Last synced: 09 May 2026

https://github.com/udacity-machinelearning-internship/reducingoverfitting

Reducing overfitting in perdiction in decision trees

decision-trees overfitting overfitting-reduced pandas scki

Last synced: 17 May 2026

https://github.com/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.

generalization inline l1 l2 matplotlib numpy overfitting overfitting-prevention overfitting-reduced pandas regularization regularization-methods regularization-techniques regularization-to-avoid-overfitting seaborn

Last synced: 05 Apr 2025

https://github.com/juzershakir/logistic_regression

A Mathematical Intuition behind Logistic Regression Algorithm

algorithm bias-variance cost-function gradient-descent hypothesis logarithmic-regression logarithms logistic-function logistic-regression machine-learning multiclass-classification overfitting probability regularized-logistic-regression sigmoid-function

Last synced: 02 Jan 2026

https://github.com/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.

artificial-neural-networks backpropagation confusion-matrix-heatmap convolutional-neural-networks data-optimization decision-tree-classifier deep-learning generative-adversarial-network gradient-descent hierarchical-clustering hyperparameter-tuning jupyter-notebook k-nearest-neighbor learning-rate machine-learning-algorithms overfitting python random-forest recurrent-neural-networks supervised-machine-learning

Last synced: 20 May 2026

https://github.com/r-abishek/course_googlemlpracticum

Google course material on development of the state-of-the-art image classification model powering search in Google Photos

convolutional-neural-network image-classification inception-v3 ml-practicum overfitting

Last synced: 22 May 2026

https://github.com/sk-g/mnist_beginners

Model search in traditional machine learning algorithms (non DL) and DL starter codes on MNIST dataset. This is a good starter code for beginners trying to learn about curse of dimensionality, overfitting and other concepts in general

keras machine-learning machine-learning-algorithms mnist mnist-beginners mnist-classification mnist-dataset numpy overfitting python pytorch pytorch-implmention resnet resnet-50 scikit-learn scikitlearn-machine-learning sklearn tensorflow

Last synced: 09 Apr 2026

https://github.com/kenthsu/manufacturing-process-modeling

Gaussian function basis regression overfitting location prediction

gaussian-basis-function machine-learning overfitting regression-models streamlit

Last synced: 22 May 2026

https://github.com/Udacity-MachineLearning-Internship/ReducingOverfitting

Reducing overfitting in perdiction in decision trees

decision-trees overfitting overfitting-reduced pandas scki

Last synced: 17 Jul 2025

https://github.com/oceanuz/car-price-regression

A comprehensive ML evaluation and improvement notebook for a car price prediction model. It includes topics such as scoring with r2, cross-validation, overfitting/underfitting diagnosis, and polynomial regression. *Ridge regression* is applied to reduce overfitting, and (GridSearchCV) techniques are used to find the best alpha hyperparameter.

cross-validation data-science grid-search hyperparameter-tuning machine-learning machine-learning-models model-evaluation overfitting python regression ridge-regression scikit-learn

Last synced: 11 Dec 2025

https://github.com/alessine/predicting_pirate_attack_success

Using machine learning to predict the success or failure of pirate attacks; elaborated during the Data Science Bootcamp at Propulsion Academy

bokeh fine-tuning interactive-visualizations machine-learning modelling overfitting plotly prediction scikit-learn

Last synced: 28 Apr 2026