Hippocampal Segmentation Factory (HSF). A one-liner Deep Learning tool to segment raw T2w (and T1w) MRIs into hippocampal subfields in few seconds. Trained on 700+ manually segmented hippocampi.
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Nov 17, 2024 - Python
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bootstrap-aggregation
Here are 11 public repositories matching this topic...
OCaml Random Forests
machine-learning regression ocaml-library classification bagging random-forests statistical-modeling out-of-bag bootstrap-aggregation
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Jan 10, 2023 - OCaml
Code to reproduce figures of Debeire, K., Runge, J., Gerhardus, A., Eyring, V. (2024). Bootstrap aggregation and confidence measures to improve time series causal discovery
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Feb 23, 2024 - Python
Classify emotions like happy, fear, neutral, etc. using CNN applying bootstrap aggregation approach
cnn classification boosting speech-emotion-recognition speech-emotion-classification bootstrap-aggregation
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Oct 8, 2022 - Jupyter Notebook
Practical implementation of classification techniques in both machine learning and statistical pattern recognition.
python machine-learning random-forest numpy scikit-learn jupyter-notebook pandas high-dimensional-data supervised-learning classification dimensionality-reduction pattern-recognition matplotlib bayesian-inference decision-trees maximum-likelihood feature-scaling probabilistic-models multi-class-classification bootstrap-aggregation
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Aug 17, 2025
Using deep learning to predict whether students can correctly answer diagnostic questions
education numpy pytorch dropout momentum ensemble-methods diagnostic-tool regularization-methods autoencoder-neural-network bootstrap-aggregation early-stopping-with-patience
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Oct 22, 2023 - Jupyter Notebook
This Project is an implementation of Decision Trees and Random Forests using bootstrap aggregation(Bagging).
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Aug 5, 2021 - Python
Analysis of a dataset using different techniques to train and evaluate models with unbalanced classes, aimed at reducing bias and predicting accurate credit risk.
machine-learning linear-regression scikit-learn supervised-learning ensemble-learning logistic-regression confusion-matrix decision-trees predictions oversampling boosting undersampling oversam smoteenn smoteen bootstrap-aggregation vector-machine custom-encoding
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Feb 3, 2022 - Jupyter Notebook
machine learning regression
model linear-regression regression feature-selection hyperparameter-tuning decision-tree-regression ensemble-machine-learning random-forest-regression lasso-regularization bagging-regressor randomsearch-cv bootstrap-aggregation
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Apr 3, 2024 - Jupyter Notebook
Data Mining and Predictive Analyst - Fall 2021 - Predictive Modeling, Loss Reduction, Optimization Algorithms, Regularization (Ridge, Lasso, Elastic Net), Dimensionality Reduction, Ensemble Models, Bootstrap Aggregation, Random Forests, Support Vector Machines (SVM), Neural Networks.
random-forest svm neural-networks dimensionality-reduction predictive-modeling ridge-regression support-vector-machines predictive-analytics ensemble-model loss-functions lossless-compression-algorithm lossy-compression lasso-regression bagging regularization-methods bootstrap-aggregation
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Nov 6, 2021
The project contains an implementation of Bagging Classifier from scratch without the use of any inbuilt libraries.
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Dec 31, 2023 - Jupyter Notebook
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