Results for "linear-gradient"

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262 skills found · Page 4 of 9

arunabhverma / Expo Linear Modal Example

📱 Linear modal example Expo and Reanimated 🤟

universal

blurexpoflatlist+6

Updated 1y ago

BMukhtar / Linear Gradient Any Angle

Linear gradient implementation with any angle for Android

universal

Updated 2mo ago

SENATOROVAI / LSQR Solver Course

LSQR is an iterative method for solving large, sparse, linear systems of equations and linear least-squares problems, including under- or over-determined and rank-deficient systems. It uses the Lanczos bidiagonalization process to provide a robust alternative to conjugate gradients, offering better numerical stability. Solver

universal

iterative-methodslarge-scale-optimizationlarge-scale-optimizations+14

Updated 8d ago

SENATOROVAI / L BFGS B Solver Course

Linear regression with the LBFGSB (Limited-memory Broyden-Fletcher-Goldfarb-Shanno BFGS) solver method is a numerical optimization method used to find the minimum of an objective function. It is a gradient descent algorithm that uses an approximation of the Hessian matrix to minimize the function.

universal

bfgs-solverdata-sciencegradient-based-methods+16

Updated 12d ago

MobinaMhr / Artificial Intelligence Course F2024

Genetic Algorithm, Curve Fitting, Reinforcement Learning, Iteration Value, Iteration Policy, FrozenLake-v1 Environment, Q-Learning, Hidden Markov Models, ML, Linear Regression, Multiple Regression, Classification, Decision Tree, K-Nearest Neighbors, Logistic Regression, Optimization, Random Forest, Gradient Boosting, XGBoost Classifier

universal

classificationcurve-fittingdecision-tree+16

Updated 4mo ago

LeventErkok / ConjugateGradient

Sparse matrix linear equation solver, using the Conjugate Gradient algorithm

universal

conjugate-gradienthaskelloptimization+1

Updated 1y ago

captainbrosset / Linear Gradient

A visualization tool for CSS linear-gradients

universal

Updated 5y ago

SENATOROVAI / Conjugate Gradient Sparse Cg Solver Course

The Conjugate Gradient (CG) method is an efficient iterative algorithm for solving large, sparse systems of linear equations where the matrix is symmetric and positive-definite. It finds the minimum of a quadratic function by generating conjugate search directions, ensuring convergence in at most steps for an matrix.Solver

universal

conjugate-gradientiterative-methodsiterative-solver+15

Updated 12d ago

rahulraghatate / Housing Sale Price Prediction

"Buying a house is a stressful thing." We built a model to predict the prices of residential homes in Ames, Iowa, using advanced regression techniques. This model will provide buyers with a rough estimate of what the houses are actually worth. We first analyzed the data to find trends. Then dimensionality reduction was performed on the dataset using PCA algorithm and feature selection module in sklearn package for python 3.5. The final house prices are predicted using linear regression models like Ridge and Lasso. We also utilised advanced regression techniques like gradient boosting using XGBoost library in python 3.5.

zed

Updated 2y ago

ronitkathuria15 / Handwritten Prescription Recognition

The Optical Character Recognition (OCR) system consists of a comprehensive neural network built using Python and TensorFlow that was trained on over 115,000 wordimages from the IAM On-Line Handwriting Database (IAM-OnDB). The neural network consists of 5 Convolutional Neural Network (CNN) layers, 2 Recurrent Neural Network (RNN) Layers, and a final Connectionist Temporal Classification (CTC) layer. As the input image is fed into the CNN layers, a non-linear ReLU function is applied to extract relevant features from the image. The ReLU function is preferred due to the lower likelihood of a vanishing gradient (which arises when network parameters and hyperparameters are not properly set) relative to a sigmoid function. In the case of the RNN layers, the Long Short-Term Memory (LSTM) implementation is used due to its ability to propagate information through long distances. The CTC is given the RNN output matrix and the ground truth text to compute the loss value and the mean of the loss values of the batch elements is used to train the OCR system. This means is fed into an RMSProp optimizer which is focused on minimizing the loss, and it does so in a very robust manner. For inference, the CTC layer decodes the RNN output matrix into the final text. The OCR system reports an accuracy rate of 95.7% for the IAM Test Dataset, but this accuracy falls to 89.4% for unseen handwritten doctors’ prescriptions.

universal

adesatria / Theme

armadillu / OfxColorGradient

Simple of addon to create linear color gradients

universal

Updated 1y ago

javascript-machine-learning / Multivariate Linear Regression Gradient Descent Javascript

⭐️ Multivariate Linear Regression with Gradient Descent in JavaScript (Vectorized)

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gradient-descentjavascriptlinear-regression+3

Updated 2y ago

sushantPatrikar / Linear Regression Simulator

A Linear Regression simulator using gradient descent. Add your one-feature dataset and visualize how Linear Regression fits a line to it. :chart_with_upwards_trend:

universal

gradient-descentlinear-regressionlinear-regression-with-math+6

Updated 6mo ago

DC-777 / ML Construction Cost Prediction

In this work, we compared the predictive capabilities of six different machine learning algorithms - linear regression, random forest, extreme gradient boosting, light gradient boosting, and natural gradient boosting - and demonstrated that a hybrid light gradient boosting and natural gradient boosting model provides the most desirable construction cost estimates in terms of the accuracy metrics, uncertainty estimates, and training speed.

universal

Updated 1mo ago

michaelmang / Linear Gradient Generator

A simple site made with Vue.js that generates linear gradients.

universal

Updated 5mo ago

mahdi-eth / Linear Regression From Scratch

This project implements a Python-based linear regression model from scratch, complete with custom functions for mean squared error and gradient descent algorithm. It is tested on data, using features to predict target variables. The project offers a practical introduction to linear regression.

universal

algorithmdata-sciencedata-visualization+4

Updated 11d ago