cost-function 开源项目推荐（89 个）

Marksman007577 /Autonomous-Drive

使用MATLAB和Simulink的自动驾驶车辆建模

lyprince /sdtw_pytorch

Implementation of soft dynamic time warping in pytorch

nathanrooy /landscapes

A dependency free library of standardized optimization test functions written in pure Python.

alpsayin /genetic-algorithm-matlab

A very simple Genetic Algorithm implementation for matlab, easy to use, easy to modify runs fast.

mohadeseh-ghafoori /Coursera-Machine-Learning-Specialization

该项目在 GitHub 上没有填写描述

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 2026.

SeyedMuhammadHosseinMousavi /Economic-Dispatching-by-Bees-Algorithm

Economic Dispatching by Bees Algorithm

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.

qazimsajjad /Machine-Learning-Course

This repository provides a comprehensive machine learning course with theoretical concepts and practical implementations

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

building a deep neural network with as many layers as you want!

Zer0-Bug /House_Price_Prediction

A from-scratch Linear Regression model optimized via Gradient Descent for house price prediction.

kevilkhadka /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.

kevilkhadka /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.

Zer0-Bug /GradientDescent_Optimizing-Theta-Values

Implementation is to use gradient descent to find the optimal values of θ that minimize the cost function.

mhbashari /ml-minicourse

Presentations And Source Codes of My Machine Learning Mini Course

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.

pjmateus /monte-carlo-annealing

Monte-Carlo search for the minimum of the multidimensional "cost" function

ChristinaAndrinopoyloy /Clustering_on_Hyperspectral_Image

Project for "Clustering" Master course of Data Science and Information Technologies (DSIT)

rafaelvareto /open-loss

OpenLoss: This repository discloses cost functions designed for open-set classification tasks, namely, Entropic Open-set, ObjectoSphere and Maximal-Entropy Loss.

JuzerShakir /Linear_Regression

A Mathematical Intuition behind Linear Regression Algorithm