residuals

There are 0 repository under residuals topic.

therealoliver / Deepdive-llama3-from-scratch
Achieve the llama3 inference step-by-step, grasp the core concepts, master the process derivation, implement the code.
attention attention-mechanism gpt inference kv-cache language-model llama llm-configuration llms mask multi-head-attention positional-encoding residuals rms rms-norm rope rotary-position-encoding swiglu tokenizer transformer
Language:Jupyter Notebook 566
lucidrains / hyper-connections
Attempt to make multiple residual streams from Bytedance's Hyper-Connections paper accessible to the public
artificial-intelligence deep-learning residuals
Language:Python 82
lucidrains / deep-cross-attention
Implementation of the proposed DeepCrossAttention by Heddes et al at Google research, in Pytorch
artificial-intelligence attention-mechanism deep-learning residuals transformers
Language:Python 81
Droliven / MSRGCN
Official implementation of MSR-GCN (ICCV2021 paper)
gcn multiscale residuals pytorch frequency discrete-cosine-transform fourier-transform human-motion-prediction deep-learning deterministic iccv2021
Language:Python 69
ModelOriented / auditor
Model verification, validation, and error analysis
regression-models machine-learning model-validation classification error-analysis residuals xai explainable-artificial-intelligence
Language:R 58
JuliaDynamics / SignalDecomposition.jl
Decompose a signal/timeseries into structure and noise or seasonal and residual components
julia signal timeseries decomposition periodic seasonal residuals signal-separation noise-reduction
Language:Julia 39
JAAdrian / MatlabRobustNonlinLsq
A MATLAB function for robust non-linear least squares
matlab lsq robust residuals nonlinlsq outliers irls
Language:MATLAB 23
coatless-rpkg / surreal
Create Datasets with Hidden Images or Messages in Residual Plots
diagnostic-plots r-package residual-analysis residuals rstats
Language:R 16
HarshShah1997 / Video-Forgery-Detection
Detection of Object-Based Forgery in Advanced Video
video-forgery-detection video forgery extract-frames extract-features detection classifier ensemble-classifier residuals matlab
Language:MATLAB 13
stefmolin / ml-utils
Machine learning utility functions and classes.
roc-curve roc-auc pr-curve precision-recall precision-recall-curve pca scree-plot elbow-method elbow-plot adjusted-r-squared pipeline machine-learning confusion-matrix residuals
Language:Python 12
koalaverse / sure
Surrogate residuals for cumulative link and general regression models in R
residuals diagnostics categorical-data ordinal-regression
Language:R 9
dev-coco / Win-Uninstaller
Clean up Windows software uninstall residual files. 清理Windows软件卸载残留。
batch-script bat batch uninstall uninstaller residuals residual residual-file windows windows-uninstall
Language:Batchfile 7
stxupengyu / ARIMA-Plot-of-Residuals
使用AIC准则进行参数选择，之后采用ARIMA模型进行时间序列预测，最后给出残差图。The AIC criterion is used to select the parameters, and then ARIMA model is used to predict the time series. Finally, the residual diagram is given.
arima-model arima-plot residuals
Language:Jupyter Notebook 6
Eddy3D-Dev / Eddy3D-Residuals
Python script to plot residual data in OpenFOAM case folders written out by Eddy3D (www.eddy3d.com), an airflow and microclimate simulations plugin for Rhino and Grasshopper.
residuals openfoam cfd eddy3d grasshopper rhino
Language:Python 5
PayThePizzo / Predictive-Analysis-Notes
Predictive Analysis Course's notes for Computer Science B.S. at Ca' Foscari University of Venice
categorical-data classification collinearity collinearity-diagnostics data-analysis data-visualisation generalized-linear-models glm influence model-selection multiple-linear-regression prediction-model r residuals rstudio simple-linear-regression statistical-analysis statistics transformations variable-selection
Language:HTML 5
friendly / twoway
Analysis of Two-Way Tables a la Tukey
anova residuals transformations tukey
Language:R 4
Avinash793 / regression-analysis-examples
Detailed implementation of various regression analysis models and concepts on real dataset.
autocorrelation cooks-distance feature-engineering goodness-of-fit heteroskedasticity influential-cases leverages multicollinearity multiple-linear-regression-model ols-regression-model outliers poisson-regression-model python3 q-q-plot quantile-regression regression-analysis regression-diagnostics residuals simple-linear-regression gls-regression-model
Language:Jupyter Notebook 3
matteosodano / Residuals_and_RLS
University group project concerning the sensorless estimation of the contact forces between a needle mounted on the end-effector of a robot manipulator and a penetrated tissue, and subsequent prediction of layer ruptures using Recursive Least Squares algorithm.
matlab robotics robot-manipulation recursive-least-squares estimation-algorithm residuals
Language:MATLAB 3
agujral / Ecommerce_dataset
Used linear regression model to train and test the data, evaluated the model performance by calculating the residual sum of squares and the explained variance score (R^2).
eda linear-regression model-evaluation residuals
Language:Jupyter Notebook 1
GZotin / openfoam_residuals_monitor
Real-time residuals monitor for openfoam simulations in python
cfd dashboard monitoring-tool openfoam python residuals
Language:Python 1
Kheem-Dh / Linear-Exponential-Model-with-Residuals-
Using the admission dataset. Reply the following questions. Using R. 1) Test if there is any relation (linear or exponential) between the following pair of variables: a) SSC Marks Obtained and NU_BS_Test Marks b) SSC Marks Obtained and NU_BS_Test Marks c) SSC Marks Obtained and HSSC Marks Obtained 2) Plot the residual plots for the parts in Question No 1 3) Calculate r2 the each part of question no 1 and confirm it by calculating the same by using the residuals.
admission exponential linear r residuals
Language:R 1
manasik29 / Prediction-of-Salary-of-individuals-based-of-Years-of-Experience
Prediction of Salary of individuals based on years of experience
cooks-distance homoscedasticity influence-plot linear-regression machine-learning ols-regression qqplots residuals
Language:Jupyter Notebook 1
MoinDalvs / Simple_Linear_Regression_1
Predicting Delivery Time Using Sorting Time
sklearn sklearn-library ordinary-least-squares ols-regression prediction predictive-modeling simple-linear-regression pandas-dataframe pandas-library numpy matplotlib residuals rmse-score log-transformation data-transformation aic bic f-statistics likelihood
Language:Jupyter Notebook 1
ppanko / orthogonalize
R package for residualizing covariates
r ols-regression rcpparmadillo residuals
Language:R 1
ShaikRiyazSandy / Simple-Linear-Regression
Simple Linear Regression
aic bic data-transformation f-statistics likelihood log-transformation matplotlib numpy ols-regression ordinary-least-squares pandas-dataframe pandas-library prediction predictive-modeling residuals rmse-score scipy-stats simple-linear-regression sklearn sklearn-library
Language:Jupyter Notebook 1
stdlib-js / stats-incr-mmse
Compute a moving mean squared error (MSE) incrementally.
nodejs javascript stdlib node node-js statistics stats mathematics math error err mse msd residuals squares deviation difference diff delta incremental
Language:JavaScript 1
stdlib-js / stats-incr-mrmse
Compute a moving root mean squared error (RMSE) incrementally.
nodejs javascript stdlib node node-js statistics stats mathematics math error err rmse rmsd mse msd residuals squares deviation difference diff
Language:JavaScript 1
stdlib-js / stats-incr-mrss
Compute a moving residual sum of squares (RSS) incrementally.
nodejs javascript stdlib node node-js statistics stats mathematics math error err rss ssr sse residuals sum total squares deviation difference
Language:JavaScript 1
stdlib-js / stats-incr-mse
Compute the mean squared error (MSE) incrementally.
nodejs javascript stdlib node node-js statistics stats mathematics math error err mse msd residuals deviation difference diff delta incremental accumulator
Language:JavaScript 1
stdlib-js / stats-incr-rmse
Compute the root mean squared error (RMSE) incrementally.
nodejs javascript stdlib node node-js statistics stats mathematics math error err rmse rmsd mse msd residuals deviation difference diff delta
Language:JavaScript 1
stdlib-js / stats-incr-rss
Compute the residual sum of squares (RSS) incrementally.
nodejs javascript stdlib node node-js statistics stats mathematics math error err rss ssr sse residuals deviation difference diff delta incremental
Language:JavaScript 1
Avinash793 / time-series-analysis-examples
Detailed implementation of various time series analysis models and concepts on real datasets.
acf ar-model arima-model arma-model dickey-fuller-test forecasting-models garch-models hidden-markov-models model-diagnostics model-selection-and-evaluation pacf q-q-plot random-walk residuals time-series-analysis time-series-decomposition time-series-forecasting var-model volatility-modeling white-noise
Language:Jupyter Notebook 0
emrecanduran / Bike-Rental-Regression-Models
This repository contains code for a bike rental prediction models including Random Forest, XGBoost, GradientBoosting, and Lasso Regression.
learning-curve optuna regression residuals
Language:Jupyter Notebook 0
dawachyophel / medical-image-enhancement
Medical image enhancement strategy based on morphologically processing of residuals using a special kernel
image-enhancement medical-diagnosis medical-imaging residuals special-kernal
Language:MATLAB
EmamulHossen / LinearRegression
Linear regression is also a type of machine-learning algorithm more specifically a supervised machine-learning algorithm that learns from the labeled datasets and maps the data points to the most optimized linear functions.
linear-regression mean-absolute-error mean-square-error residuals
Language:Jupyter Notebook
shridhar1504 / Milk-Production-Time-Series-Forecasting-Datascience-Project
This project uses time series forecasting to predict future milk production. The data used in this project is monthly milk production data from January 1962 to December 1975. The ARIMA (autoregressive integrated moving average) model is used to forecast the milk production. The model is evaluated using various metric.
adf arima-model augmented-dickey-fuller-test data-analysis data-analytics data-science data-visualization eda exploratory-data-analysis machine-learning machine-learning-algorithms python python3 residuals sarimax seasonality time-series time-series-forecasting trends
Language:Jupyter Notebook

residuals

therealoliver / Deepdive-llama3-from-scratch

lucidrains / hyper-connections

lucidrains / deep-cross-attention

Droliven / MSRGCN

ModelOriented / auditor

JuliaDynamics / SignalDecomposition.jl

JAAdrian / MatlabRobustNonlinLsq

coatless-rpkg / surreal

HarshShah1997 / Video-Forgery-Detection

stefmolin / ml-utils

koalaverse / sure

dev-coco / Win-Uninstaller

stxupengyu / ARIMA-Plot-of-Residuals

Eddy3D-Dev / Eddy3D-Residuals

PayThePizzo / Predictive-Analysis-Notes

friendly / twoway

Avinash793 / regression-analysis-examples

matteosodano / Residuals_and_RLS

agujral / Ecommerce_dataset

GZotin / openfoam_residuals_monitor

Kheem-Dh / Linear-Exponential-Model-with-Residuals-

manasik29 / Prediction-of-Salary-of-individuals-based-of-Years-of-Experience

MoinDalvs / Simple_Linear_Regression_1

ppanko / orthogonalize

ShaikRiyazSandy / Simple-Linear-Regression

stdlib-js / stats-incr-mmse

stdlib-js / stats-incr-mrmse

stdlib-js / stats-incr-mrss

stdlib-js / stats-incr-mse

stdlib-js / stats-incr-rmse

stdlib-js / stats-incr-rss

Avinash793 / time-series-analysis-examples

emrecanduran / Bike-Rental-Regression-Models

dawachyophel / medical-image-enhancement

EmamulHossen / LinearRegression

shridhar1504 / Milk-Production-Time-Series-Forecasting-Datascience-Project