A simple application that calculates the probability distribution of a normal distribution

Last update: Oct 25, 2022

Overview

probability-density-function

General info

An application that calculates the probability density and cumulative distribution of a normal distribution

Probability density formula:

Cumulative distribution formula:

Technologies

Project is created with:

Python 3.9.5

Owner

GitHub Repository

(3D): LeGO-LOAM, LIO-SAM, and LVI-SAM installation and application

SLAM-application: installation and test (3D): LeGO-LOAM, LIO-SAM, and LVI-SAM Tested on Quadruped robot in Gazebo ● Results: video, video2 Requirement

203 Dec 26, 2022

Test symmetries with sklearn decision tree models

Test symmetries with sklearn decision tree models Setup Begin from an environment with a recent version of python 3. source setup.sh Leave the enviro

2 Jul 19, 2022

The easy way to combine mlflow, hydra and optuna into one machine learning pipeline.

mlflow_hydra_optuna_the_easy_way The easy way to combine mlflow, hydra and optuna into one machine learning pipeline. Objective TODO Usage 1. build do

9 Sep 09, 2022

High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization machines (FM), and field-aware factorization machines (FFM) for Python and CLI interface.

What is xLearn? xLearn is a high performance, easy-to-use, and scalable machine learning package that contains linear model (LR), factorization machin

3k Jan 08, 2023

Dual Adaptive Sampling for Machine Learning Interatomic potential.

DAS Dual Adaptive Sampling for Machine Learning Interatomic potential. How to cite If you use this code in your research, please cite this using: Hong

6 Jul 06, 2022

50% faster, 50% less RAM Machine Learning. Numba rewritten Sklearn. SVD, NNMF, PCA, LinearReg, RidgeReg, Randomized, Truncated SVD/PCA, CSR Matrices all 50+% faster

[Due to the time taken @ uni, work + hell breaking loose in my life, since things have calmed down a bit, will continue commiting!!!] [By the way, I'm

1.4k Jan 01, 2023

Code Repository for Machine Learning with PyTorch and Scikit-Learn

1.4k Jan 03, 2023

MegFlow - Efficient ML solutions for long-tailed demands.

Efficient ML solutions for long-tailed demands.

371 Dec 21, 2022

distfit - Probability density fitting

Python package for probability density function fitting of univariate distributions of non-censored data

187 Dec 30, 2022

A toolkit for making real world machine learning and data analysis applications in C++

dlib C++ library Dlib is a modern C++ toolkit containing machine learning algorithms and tools for creating complex software in C++ to solve real worl

11.6k Jan 02, 2023

Model Agnostic Confidence Estimator (MACEST) - A Python library for calibrating Machine Learning models' confidence scores

95 Dec 28, 2022

Can a machine learning project be implemented to estimate the salaries of baseball players whose salary information and career statistics for 1986 are shared?

END TO END MACHINE LEARNING PROJECT ON HITTERS DATASET Can a machine learning project be implemented to estimate the salaries of baseball players whos

7 Dec 18, 2021

A simple application that calculates the probability distribution of a normal distribution

Related tags

Overview

probability-density-function

General info

Technologies

Owner

(3D): LeGO-LOAM, LIO-SAM, and LVI-SAM installation and application

Test symmetries with sklearn decision tree models

The easy way to combine mlflow, hydra and optuna into one machine learning pipeline.

High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization machines (FM), and field-aware factorization machines (FFM) for Python and CLI interface.

Dual Adaptive Sampling for Machine Learning Interatomic potential.

50% faster, 50% less RAM Machine Learning. Numba rewritten Sklearn. SVD, NNMF, PCA, LinearReg, RidgeReg, Randomized, Truncated SVD/PCA, CSR Matrices all 50+% faster

Code Repository for Machine Learning with PyTorch and Scikit-Learn

MegFlow - Efficient ML solutions for long-tailed demands.

distfit - Probability density fitting

A toolkit for making real world machine learning and data analysis applications in C++

Model Agnostic Confidence Estimator (MACEST) - A Python library for calibrating Machine Learning models' confidence scores

XGBoost + Optuna

A Python implementation of FastDTW

Predicting Keystrokes using an Audio Side-Channel Attack and Machine Learning

Python ML pipeline that showcases mltrace functionality.

Random Forest Classification for Neural Subtypes

A collection of video resources for machine learning

Automatic extraction of relevant features from time series:

Scikit learn library models to account for data and concept drift.

Can a machine learning project be implemented to estimate the salaries of baseball players whose salary information and career statistics for 1986 are shared?