overfitting

There are 3 repositories under overfitting topic.

lijqhs / deeplearning-notes
Notes for Deep Learning Specialization Courses led by Andrew Ng.
deep-learning data-science machine-learning algorithms coursera statistics neural-network cnn tensorflow deeplearning andrew-ng bias-variance overfitting backpropagation sequence-models data-analysis notes hyperparameter-optimization summary
385
modestyachts / ImageNetV2
A new test set for ImageNet
dataset imagenet generalization robustness overfitting
Language:Jupyter Notebook 225
EnnengYang / Awesome-Forgetting-in-Deep-Learning
A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual Learning. arXiv:2307.09218.
catastrophic-forgetting continual-learning domain-adaptation federated-learning forgetting generative-model machine-learning machine-unlearning meta-learning model-inversion-attacks reinforcement-learning self-supervised-learning data-free-knolwedge-distillation membership-inference-attacks overfitting model-attacks property-inference-attacks beneficial-forgetting coreset-selection deep-learning
151
LayneH / self-adaptive-training
[TPAMI2022 & NeurIPS2020] Official implementation of Self-Adaptive Training
machine-learning computer-vision generalization overfitting label-noise adversarial-robustness
Language:Python 124
HannaMeyer / CAST
Developer Version of the R package CAST: Caret Applications for Spatio-Temporal models
autocorrelation caret feature-selection machine-learning overfitting predictive-modeling spatial spatio-temporal variable-selection
Language:R 101
evgenii-nikishin / rl_with_resets
JAX implementation of deep RL agents with resets from the paper "The Primacy Bias in Deep Reinforcement Learning"
atari deep-learning deep-reinforcement-learning dmc flax gym machine-learning overfitting reinforcement-learning sac spr atari2600 deepmind-control-suite drq jax soft-actor-critic
Language:Python 95
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
deep-learning neural-networks tensorflow computer-vision convolutional-neural-networks kaggle data-augmentation dropout multiclass-classification overfitting natural-language-processing timeseries-forecasting trivia-game tensorflow-developer-certificate
Language:Jupyter Notebook 64
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 overfitting smoothing generalization-ability
Language:Python 44
marcojira / fld
PyTorch code for FLD (Feature Likelihood Divergence), FID, KID, Precision, Recall, etc. using DINOv2, InceptionV3, CLIP, etc.
diffusion-models evaluation-metric fid generative-adversarial-network generative-model memorization overfitting
Language:Python 29
pythonbravo / oil_price
Machine Learning to predict share prices in the Oil & Gas Industry
oil gas share price bp shell data-science machine-learning random-forest tutorial python notebook data-analysis prediction overfitting cluster
Language:Jupyter Notebook 27
szilard / GBM-tune
Tuning GBMs (hyperparameter tuning) and impact on out-of-sample predictions
machine-learning gradient-boosting-machine gbm hyperparameter-optimization overfitting
Language:HTML 22
CasperKristiansson / Elements-of-AI-Building-Ai
All exercises for the course Elements of AI - Building AI
elements-of-ai building-ai hill-climbing probability-fundamentals bayes-rule naive-bayes-classifier linear-regression nearest-neighbor-search overfitting logistic-regression neural-networks deep-learning bayes-classifier naive-bayes naive-bayes-algorithm linear-regression-models machine-learning
Language:Python 20
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)
meta-learning generalization overfitting memorization-problem variational-bayes representation-learning
Language:Jupyter Notebook 20
mainkoon81 / Study-09-MachineLearning-B
**Supervised-Learning** (with some Kaggle winning solutions and their reason of Model Selection for the given dataset).
support-vector-machine svm kernel-functions perceptron-algorithm linear-regression decision-tree overfitting
Language:Jupyter Notebook 17
Amitha353 / Machine-Learning-Regression
Machine-Learning-Regression
simple-linear-regression multiple-regression gradient-descent coordinate-descent ridge-regre lasso-regression nearest-neighbor-search kernel-regression loss-functions bias-variance-tradeoff cross-validation generalization-error overfitting coefficient-path polynomial-regression
Language:Jupyter Notebook 15
stoneMo / SLAVC
Official Codebase of "A Closer Look at Weakly-Supervised Audio-Visual Source Localization" (NeurIPS 2022)
audio-visual-correspondence audio-visual-learning overfitting self-supervised-learning silence visual-sound-localization
Language:Python 12
bmcmenamin / thresholdOut-explorations
playing with Dwork's adaptive holdout and how to use it for a grid-search
grid-search overfitting holdout differential-privacy thresholdout dwork
Language:Jupyter Notebook 11
gabrieldim / Baby-Health-Data-Science
Baby Health model made in Python.
batch convolution-layer dense-layer epochs neural-network overfitting
Language:Jupyter Notebook 11
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
deep-learning-adventures deep-learning community trivia-game neural-networks tensorflow computer-vision convolutional-neural-networks kaggle overfitting natural-language-processing rnn lstm sequence-models timeseries-forecasting tensorflow-developer-certificate
11
anshul1004 / DecisionTree
Decision Tree classifier from scratch without any machine learning libraries
decision-trees decision-tree decision-tree-classifier decision-tree-algorithm machine-learning classification-algorithm id3 id3-algorithm pruning entropy post-pruning advertisement breast-cancer-dataset iris-dataset supervised-learning overfitting gini-index classification-model decision-tree-model prediction
Language:Python 9
WalidGharianiEAGLE / spatial-kfold
spatial resampling for more robust cross validation in spatial studies
cross-validation kfold machine-learning overfitting spatial spatial-analysis autocorrelation
Language:Python 9
fau-masters-collected-works-cgarbin / dropout-vs-batch-normalization
Dropout vs. batch normalization: effect on accuracy, training and inference times - code for the paper
python keras tensorflow deep-learning neural-network mnist cnn mlp rmsprop sgd batch-normalization dropout overfitting hyperparameters
Language:TeX 8
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.
overfitting linear-models linear-regression lasso pystan stacking bagging shuffle-split machine-learning competitive-programming-contests logistic-regression
Language:Jupyter Notebook 6
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)
interpretable-machine-learning machine-learning overfitting species-distribution-modelling statistical-models freshwater-macroinvertebrate
Language:R 5
HIIT / human-overfitting-in-IML
User Modelling for Avoiding Overfitting in Interactive Knowledge Elicitation for Prediction
interactive-machine-learning bayesian-inference overfitting human-in-the-loop-machine-learning expert-prior-elicitation
Language:MATLAB 5
11785-Group-9 / 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.
temporal-action-localization video-analysis deep-learning overfitting data-augmentation-strategies
Language:Python 4
klemenjak / nilm-transferability-metrics
Metrics to assess the generalisation ability of NILM algorithms
non-intrusive-load-monitoring transferability generalisation energy-disaggregation nilmtk overfitting
4
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.
ai bag-of-words bayes-rule deep-learning hill-climbing knn linear-regression logistic-regression machine-learning naive-bayes-classifier nearest-neighbor-search neural-network overfitting probability
Language:Python 3
austincorum / Dropout-NeuralNetworks
Dropout: A Simple Way to Prevent Neural Networks from Overfitting
dropout-keras neural-networks research-paper overfitting python2-7
Language:Python 3
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
Language:Python 3
bhattbhavesh91 / regularization-neural-networks
Simple Demo to show how L2 Regularization avoids overfitting in Deep Learning/Neural Networks
regularization l2-regularization deep-learning neural-networks keras keras-neural-networks keras-tensorflow overfitting
Language:Jupyter Notebook 2
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
Language:Python 2
DanielWicz / ClippedNoiseSoftmax
Clipped Noise Softmax to overcome over-fitting with Softmax - PyTorch implementation
deep-learning overfitting pytorch softmax
Language:Python 2
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.
algorithms bagging-trees clustering decision-trees k-nearest-neighbors kmeans linear-regression logistic-regression machine-learning machine-learning-algorithms overfitting perceptron polynomial-regression python random-forest regularization ridge-regression
Language:Jupyter Notebook 2
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.
c-index censored-data decision-tree hazard heart-disease imputation kaplan-meier linear-model missing-data mortality-rates numpy overfitting pandas prognosis risk-model survival time-to-event concordance-index
Language:Jupyter Notebook 2
pixel-debug / Machine-Learning
Códigos e enunciados utilizados no curso de Aprendizado de Máquina feito em 2020.
machine-learning python overfitting poo
Language:Jupyter Notebook 2

overfitting

lijqhs / deeplearning-notes

modestyachts / ImageNetV2

EnnengYang / Awesome-Forgetting-in-Deep-Learning

LayneH / self-adaptive-training

HannaMeyer / CAST

evgenii-nikishin / rl_with_resets

georgezoto / TensorFlow-in-Practice

VITA-Group / Alleviate-Robust-Overfitting

marcojira / fld

pythonbravo / oil_price

szilard / GBM-tune

CasperKristiansson / Elements-of-AI-Building-Ai

mingzhang-yin / Meta-learning-without-memorization

mainkoon81 / Study-09-MachineLearning-B

Amitha353 / Machine-Learning-Regression

stoneMo / SLAVC

bmcmenamin / thresholdOut-explorations

gabrieldim / Baby-Health-Data-Science

georgezoto / Deep-Learning-Adventures

anshul1004 / DecisionTree

WalidGharianiEAGLE / spatial-kfold

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

sharmaroshan / Don-t-Overfit

emmachollet / ComparSDMsQuantifOverfitSuppInterpr_DataPackage

HIIT / human-overfitting-in-IML

11785-Group-9 / BMN-Boundary-Matching-Network

klemenjak / nilm-transferability-metrics

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

austincorum / Dropout-NeuralNetworks

rpatrik96 / lod-wmm-2019

bhattbhavesh91 / regularization-neural-networks

ChenLiu-1996 / CorruptedDataLoader

DanielWicz / ClippedNoiseSoftmax

david-adewoyin / machine_learning_basics

neural-tangjie / NTJ-AIMed_2_Prognosis

pixel-debug / Machine-Learning