cost-function

There are 0 repository under cost-function topic.

lyprince / sdtw_pytorch
Implementation of soft dynamic time warping in pytorch
dynamic-time-warping deep-learning soft-dtw pytorch pytorch-implementation deep-neural-networks time-series cost-function
Language:Python 99
Marksman007577 / Autonomous-Drive
Autonomous Vehicle modelling using MATLAB and Simulink
matlab radar simulink-model autonomous-driving adaptive-cruise-control cruise-control vehicle-dynamics v2v communication-protocol cacc mpc-control purepursuit mpc lane-centering-assist waypoints stanley-controller mpc-hc cost-function
Language:MATLAB 72
nathanrooy / landscapes
A dependency free library of standardized optimization test functions written in pure Python.
constrained-optimization cost-function loss-function multi-objective optimization python single-objective test-functions traveling-salesman-problem tsp
Language:Python 51
alpsayin / genetic-algorithm-matlab
A very simple Genetic Algorithm implementation for matlab, easy to use, easy to modify runs fast.
genetic-algorithm matlab heuristics heuristic-search-algorithms optimisation optimisation-algorithms cost-function cost-optimization
Language:MATLAB 31
mohadeseh-ghafoori / Coursera-Machine-Learning-Specialization
gradient-descent linear-regression contour-plot matplotlib numpy mean-normalization learning-curve feature-scaling feature-engineering polynomial-regression sklearn standard-normal decision-boundary logistic-regression regularization feature-mapping regularization-to-avoid-overfitting cost-function
Language:Jupyter Notebook 7
AndresGarciaEscalante / Path-Planning-Autonomous-Car
Implement a safe autonomous navigation in a simulated 3D environment full of cars. Apply concepts like prediction, finite state machines, behavior planning, and more.
behavior-planning c-plus-plus cost-function path-planning self-driving-car
Language:C++ 4
kk289 / ML-Multiclass_Classification_and_Neural_Network-MATLAB
Neural networks is a model inspired by how the brain works. It is widely used today in many applications: when your phone interprets and understand your voice commands, it is likely that a neural network is helping to understand your speech; when you cash a check, the machines that automatically read the digits also use neural networks.
classification cost-function feedforward-neural-network gradients logistic-regression-classifier matlab neural-network regularization vectorization
Language:MATLAB 4
kk289 / ML-Regularized_Linear_Regression-Bias_Variance-MATLAB
Here, we implement regularized linear regression to predict the amount of water flowing out of a dam using the change of water level in a reservoir. In the next half, we go through some diagnostics of debugging learning algorithms and examine the effects of bias v.s. variance.
linear-regression regularized-linear-regression bias-variance learning-curve cross-validation cost-function gradient polynomial-regression regularization-methods random
Language:MATLAB 4
mhbashari / ml-minicourse
Presentations And Source Codes of My Machine Learning Mini Course
learning-agents learning generalization representation shallow-learning deep-learning autonomy unsupervised-learning supervised-learning reinforcement-learning cost-function gradient-descent calculation-graph linear-regression
Language:Jupyter Notebook 4
ChristinaAndrinopoyloy / Clustering_on_Hyperspectral_Image
Project for "Clustering" Master course of Data Science and Information Technologies (DSIT)
bsas clustering cost-function hierarchical-clustering hyperspectral-images matlab pca salinas-valley
Language:MATLAB 3
JuzerShakir / Linear_Regression
A Mathematical Intuition behind Linear Regression Algorithm
linear-regression machine-learning algorithm univariate-regressions multivariate-regression hypothesis house-price-prediction linear-equations cost-function gradient-descent mean-square-error mse partial-derivative linear-algebra vector matrices feature-scaling mean-normalization bias-variance regularized-linear-regression
3
Zahra-Bakhtiari / Building-Deep-Neural-Network-Step-by-Step-Instruction
building a deep neural network with as many layers as you want!
backward-propagation cost-function deep-neural-network forward-propagation relu sigmoid-function
Language:Jupyter Notebook 3
Azeemaj101 / Deep-Learning-Math-Concepts
activation-functions cost-function jupyter-notebook loss-functions mathematics
Language:Jupyter Notebook 2
KhaledAshrafH / Logistic-Regression
This program implements logistic regression from scratch using the gradient descent algorithm in Python to predict whether customers will purchase a new car based on their age and salary.
activation-function cost-function data-preprocessing logistic-regression model preprocessing regression-models sigmoid sigmoid-activation sigmoid-function
Language:Python 2
mixed-farming / Univariate-Linear-Regression
Implementing the gradient descent algorithm from scratch to perform univariate linear regression to analyze the profit made by a bike sharing company.
cost-function data-visualization gradient-descent-implementation univariate-linear-regression convergence
Language:Jupyter Notebook 2
nishi1612 / Machine-Learning
This repository consists of Lab Assignments for course Machine Learning.
colab-notebook colaboratory cost-function gradient-descent gradient-descent-implementation machine-learning machine-learning-algorithms optimization-algorithms python steepest-descent stochastic-gradient-descent
Language:Jupyter Notebook 2
overtane / udacity-carnd-p11
Highway Path Planner
self-driving-car path-planning behavior-planning trajectory-generation jerk-minimization udacity-self-driving-car cost-estimation cost-function c-plus-plus c-plus-plus-11 cpp11
Language:C++ 2
pjmateus / monte-carlo-annealing
Monte-Carlo search for the minimum of the multidimensional "cost" function
annealing cost-function cost-optimization minimum monte-carlo monte-carlo-simulation multidimensional multidimensional-analysis
Language:Python 2
rafaelvareto / maximal-entropy-loss
OpenLoss: This repository discloses cost functions designed for open-set classification tasks, namely, Entropic Open-set, ObjectoSphere and Maximal-Entropy Loss.
cost-function face-recognition open-set-classification watchlists open-set-learning negative-samples open-loss
Language:Jupyter Notebook 2
trajkd / Highway-Driving
Highway Driving (project 7 of 9 from Udacity Self-Driving Car Engineer Nanodegree)
search search-algorithm cost-estimation a-star motion-planning motion-planning-algorithms optimal-path expansion prediction prediction-model data-driven-model model-based frenet frenet-coordinate process-models multimodal naive-bayes behavior-planning finite-state-machine cost-function
Language:C++ 2
yigitsener / machine-learning
Machine Learning
machine-learning python practice prediction sklearn user-interaction regression decision-tree cost-function churn
Language:Python 2
andreabasiliorava / QAOA_MaxCut_1_level_classical_optimization
Repository for the Software and Computing for Applied Physics Project
qaoa maxcut optimization graphs qutip qubits cost-function
Language:Python 1
bconsolvo / ml-course-andrew-ng
Machine learning code: linear regression and logistic regression
machine-learning matlab linear-regression logistic-regression cost-function gradient-descent conjugate-gradient decision-boundary
Language:MATLAB 1
crosstherubicon / Backprop_Hyper-parameters
Understanding hyperparameters of neural network architectures using 3 cost functions, 3 activation functions, 2 regularizations and dropout.
hyperparameters backpropagation deep-learning deep-learning-algorithms neural-network brackprop-hyperparameters neural-networks regularization dropout dropout-keras activation-functions cost-function irish-data
Language:Jupyter Notebook 1
Devinterview-io / cost-function-interview-questions
🟣 Cost Function interview questions and answers to help you prepare for your next machine learning and data science interview in 2024.
ai-interview-questions coding-interview-questions coding-interviews cost-function data-science data-science-interview data-science-interview-questions data-scientist-interview interview-practice interview-preparation machine-learning machine-learning-and-data-science machine-learning-interview machine-learning-interview-questions software-engineer-interview technical-interview-questions cost-function-interview-questions cost-function-questions cost-function-tech-interview
1
Jeanyvesbourdoncle / FCND-Motion-Planning
Grid and Graph Search with the A* algorithm (path+cost function) for a drone in an urban environment + Path optimization
aerial-robotics finite-state-machine path-planning astar cost-function grid-search waypoint-following coordinate-transformation path-optimization
Language:Python 1
kevinshliu / Simulated-Annealing
The simulated annealing algorithm that minimizes a cost function, which indicates the degree of matching between the force field (FF) and density-functional theory (DFT).
simulated-annealing cost-function force-field density-functional-theory
Language:Python 1
kiku-jw / calfur
🧮 Calculate Cost Furniture, Windows and Doors
calculator cost-function doors furniture mathematical-formulas nodejs telegraf telegram-bot typescript windows
Language:TypeScript 1
muhendis / yapaysiniraglari
ann artificial-neural-networks loss-functions cost-function python3 numpy pandas matplotlib seaborn gradient-descent tutorial
1
purvilmehta06 / Machin-Learning
This repository contains the lab work of the course Machine Learning (IE 406).
binary-classification cost-function discriminant-analysis face-recognition gredient-decent jupyter-notebook linear-regression logarithmic-regression machine-learning machine-learning-algorithms maximum-likelihood-estimation mse multiclass-classification pca-analysis python stochastic-gradient-descent
Language:Jupyter Notebook 1
rafaelvareto / distance-transform-loss
This repository discloses a new cost function entitled Distance Transform Loss (DTL) that punishes deep networks when class boundaries are misclassified in exchange for more accurate contour delineations, an important aspect in the geological field.
cost-function seismic-facies-classification semantic-segmentation
1
Rohit-Kundu / Cell-Tracker
Official Implementation of our paper on Cell Tracker Algorithm for NPC Cell maturation profile understanding.
cell-tracking computer-vision cost-function deep-learning npc-migration object-segmentation
Language:MATLAB 1
SabirKhanAkash / Machine-Learning-by-Andrew-Ng
All my codes from 'Machine Learning' course by Andrew Ng offered by Coursera
machine-learning gradient-descent cost-function linear-regression logistic-regression
Language:MATLAB 1
SAhmadrezaAnaami / Simple-Linear-Regression
This Python repository contains an example of linear regression using a single independent variable to predict a continuous dependent variable. It includes code for importing and preprocessing the data, fitting the model, and evaluating its performance. The repo also includes plots of the fitted models and analysis of the results.
ai cost-function linear-regression machine-learning ml python
Language:Jupyter Notebook 1
SAI-SRINIVASA-SUBRAMANYAM / machine_practices_problems
adjusted-r-squared cost-function ineuron ineuron-ai linear-regression loss-function multivariate-analysis r-squared subramanyam
Language:Jupyter Notebook 1
TobiAdeniyi / dence-neural-net-library
Creating a Neural Network Library from scratch utilising my Mathematics background along with content covered in Andrew Ng's Deep Learning course
deep-learning machine-learning optimization cost-function activation-functions
Language:Jupyter Notebook 1

cost-function

lyprince / sdtw_pytorch

Marksman007577 / Autonomous-Drive

nathanrooy / landscapes

alpsayin / genetic-algorithm-matlab

mohadeseh-ghafoori / Coursera-Machine-Learning-Specialization

AndresGarciaEscalante / Path-Planning-Autonomous-Car

kk289 / ML-Multiclass_Classification_and_Neural_Network-MATLAB

kk289 / ML-Regularized_Linear_Regression-Bias_Variance-MATLAB

mhbashari / ml-minicourse

ChristinaAndrinopoyloy / Clustering_on_Hyperspectral_Image

JuzerShakir / Linear_Regression

Zahra-Bakhtiari / Building-Deep-Neural-Network-Step-by-Step-Instruction

Azeemaj101 / Deep-Learning-Math-Concepts

KhaledAshrafH / Logistic-Regression

mixed-farming / Univariate-Linear-Regression

nishi1612 / Machine-Learning

overtane / udacity-carnd-p11

pjmateus / monte-carlo-annealing

rafaelvareto / maximal-entropy-loss

trajkd / Highway-Driving

yigitsener / machine-learning

andreabasiliorava / QAOA_MaxCut_1_level_classical_optimization

bconsolvo / ml-course-andrew-ng

crosstherubicon / Backprop_Hyper-parameters

Devinterview-io / cost-function-interview-questions

Jeanyvesbourdoncle / FCND-Motion-Planning

kevinshliu / Simulated-Annealing

kiku-jw / calfur

muhendis / yapaysiniraglari

purvilmehta06 / Machin-Learning

rafaelvareto / distance-transform-loss

Rohit-Kundu / Cell-Tracker

SabirKhanAkash / Machine-Learning-by-Andrew-Ng

SAhmadrezaAnaami / Simple-Linear-Regression

SAI-SRINIVASA-SUBRAMANYAM / machine_practices_problems

TobiAdeniyi / dence-neural-net-library