IJCAI 2021, "Comparing Kullback-Leibler Divergence and Mean Squared Error Loss in Knowledge Distillation"
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Feb 1, 2023 - Jupyter Notebook
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mean-squared-error
Here are 44 public repositories matching this topic...
MDL Complexity computations and experiments from the paper "Revisiting complexity and the bias-variance tradeoff".
machine-learning statistics ai information-theory linear-regression artificial-intelligence model-selection complexity mdl ridge-regression linear-regression-models linear-models minimum-description-length bias-variance-tradeoff bias-variance-trade double-descent mean-squared-error
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Jun 12, 2023 - Jupyter Notebook
PyTorch implementations of the beta divergence loss.
numpy torch pytorch kullback-leibler-divergence distance-measures distance-metric nmf loss-functions loss kl-divergence divergence non-negative-matrix-factorization mean-square-error nmf-decomposition objective-functions beta-divergence distance-metrics divergences mean-squared-error itakura-saito-divergence
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Jan 31, 2022 - Python
Bayesian Regression of Latent Source Modelling for Predicting Price Variation of Bitcoin
bitcoin linear-regression cryptocurrency price-prediction bayesian-regression mean-squared-error latent-source-model
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Oct 27, 2022 - Python
What Happens if We Use a Mean Squared Error Loss for Binary Classification?
machine-learning deep-learning neural-network mse loss-functions binary-crossentropy mean-squared-error crossentropy
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Jul 20, 2022
This project used various machine learning algorithms to predict rainfall.
svm linear-regression logistic-regression decision-trees jaccard-similarity knn f1-score r2-score mean-absolute-error mean-squared-error
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Oct 25, 2022 - Jupyter Notebook
Neural Network implemented with different Activation Functions i.e, sigmoid, relu, leaky-relu, softmax and different Optimizers i.e, Gradient Descent, AdaGrad, RMSProp, Adam. You can choose different loss functions as well i.e, cross-entropy loss, hinge-loss, mean squared error (MSE)
python neural-network jupyter-notebook python3 pycharm gradient-descent loss-functions adagrad rmsprop pycharm-ide leaky-relu adam-optimizer hinge-loss cross-entropy-loss activation-functions optimizers sigmoid-activation mean-squared-error relu-activation softmax-activation
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Aug 15, 2022 - Jupyter Notebook
All things around ... Regression
linear-regression regression regression-models knn-regression support-vector-regression decision-tree-regression random-forest-regression xgboost-regression r2-score mean-squared-error gradient-boosting-regression
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May 13, 2021 - Jupyter Notebook
A collection of TypeScript-based machine learning helpers.
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Mar 22, 2024 - TypeScript
Intrusion Detection System for MQTT Enabled IoT.
mqtt deep-learning sklearn data-visualization feature-extraction mqtt-server data-processing mqtt-protocol binary-classification keras-tensorflow classification-report intrusion-detection-system multi-class-classification artifical-neural-network r2-score mean-absolute-error root-mean-square-error mean-squared-error
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Nov 1, 2023
This repository contains a Jupyter Notebook that implements PCA (Principal Component Analysis) from scratch for facial recognition. It demonstrates the steps involved in PCA, including eigenface computation and accuracy comparisons for different components.
facial-recognition dimensionality-reduction eigenvectors principal-component-analysis eigenfaces mean-squared-error atnt-data
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May 24, 2023 - Jupyter Notebook
A small code for understanding linear regression.
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May 16, 2021 - Jupyter Notebook
Machine Learning for Data 3141 Reichman University Spring 2022 - 6 Homework Projects
svm linear-regression ml naive-bayes-classifier logistic-regression gradient-descent k-means polynomial-regression knn decision-tree-classifier em-algorithm multivariate-regression lagrange-multipliers unsupervised-machine-learning mle-estimation pac-learning k-fold-cross-validation mean-squared-error
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Nov 8, 2022 - Jupyter Notebook
CERN Electron collision data- Invariant mass prediction
tensorflow sklearn keras ml regression prediction artificial-neural-networks particle-physics gradio adam-optimizer mean-squared-error gradio-interface
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Sep 14, 2023 - Jupyter Notebook
The "Advertising Impact Analysis" project aims to analyze the relationship between advertising expenditure across different channels (such as TV, radio, online) and its impact on sales or revenue.
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Apr 21, 2024 - HTML
A regression model to predict housing prices based on various features.
r2 random-forest-regressor visulaization test-scores mean-absolute-error train-test-split mean-squared-error grid-search-cross-validation random-search-algorithm
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Sep 3, 2024 - Jupyter Notebook
Implementation of architectures presented in "Deep Neural Networks for Low-resolution Photon-limited Imaging"
deep-neural-networks mnist-dataset convolutional-neural-networks stacked-denoising-autoencoders poisson-noise mean-squared-error deep-learning-methods compressed-sensing-applications downsampled-noisy-signals optimization-based-algorithms signal-reconstructions poisson-autoencoder-inverting-network
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Oct 8, 2024 - Jupyter Notebook
Using machine learning to discover the best location for Oily Giant to open their next well, based on reserve volume and profit
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May 14, 2023 - HTML
A Python implementation of Gradient Descent for solving Multiple Linear Regression. This project demonstrates how the algorithm is used to minimize the Mean Squared Error (MSE) cost function and optimize the regression coefficients.
python optimization numpy linear-regression pandas matplotlib gradient-descent learning-rate machine-learning-basics regression-analysis cost-function multiple-linear-regression mean-squared-error
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Dec 9, 2024 - Jupyter Notebook
Create a simple, univariate linear regression model that predicts the salary from a person's experience (measured in years), using the gradiant descent algorithm.
linear-regression data-visualization optimization-algorithms univariate-linear-regression mean-squared-error gradiantdescent
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Jul 10, 2023 - Jupyter Notebook
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