A basic Ray Tracer that exploits numpy arrays and functions to work fast.

Last update: Dec 27, 2022

Overview

Python-Fast-Raytracer

A basic Ray Tracer that exploits numpy arrays and functions to work fast. The code is written keeping as much readability as possible.

Installation

Just clone or download this repo. You'll need to install two packages.

Pillow is a fork of the PIL package. It provides the Image module for this application. to install it run the following.

pip install pillow

Numpy is a scientific package that helps with mathematical functions.

pip install numpy

Examples

See the examples to see how to render the following images:

python example1.py

python example2.py

python example3.py

python example4.py

python example_cornell_box.py

Some animations: https://www.youtube.com/watch?v=vt9vAcZQT4A

A basic version of this raytracer can be found here: https://github.com/jamesbowman/raytrace

Owner

Rafael de la Fuente

GitHub Repository

Dragonfly is an open source python library for scalable Bayesian optimisation.

Dragonfly is an open source python library for scalable Bayesian optimisation. Bayesian optimisation is used for optimising black-box functions whose

744 Jan 02, 2023

Python library for multilinear algebra and tensor factorizations

scikit-tensor is a Python module for multilinear algebra and tensor factorizations

394 Dec 09, 2022

Probabilistic programming framework that facilitates objective model selection for time-varying parameter models.

Time series analysis today is an important cornerstone of quantitative science in many disciplines, including natural and life sciences as well as eco

129 Dec 24, 2022

Python Extreme Learning Machine (ELM) is a machine learning technique used for classification/regression tasks.

Python Extreme Learning Machine (ELM) Python Extreme Learning Machine (ELM) is a machine learning technique used for classification/regression tasks.

84 Nov 25, 2022

AutoX是一个高效的自动化机器学习工具，它主要针对于表格类型的数据挖掘竞赛。它的特点包括: 效果出色、简单易用、通用、自动化、灵活。

English | 简体中文 AutoX是什么？ AutoX一个高效的自动化机器学习工具，它主要针对于表格类型的数据挖掘竞赛。它的特点包括: 效果出色: AutoX在多个kaggle数据集上，效果显著优于其他解决方案(见效果对比)。简单易用: AutoX的接口和sklearn类似，方便上手使用。

431 Dec 28, 2022

Uses WiFi signals :signal_strength: and machine learning to predict where you are

Uses WiFi signals and machine learning (sklearn's RandomForest) to predict where you are. Even works for small distances like 2-10 meters.

5k Jan 09, 2023

Automated Time Series Forecasting

AutoTS AutoTS is a time series package for Python designed for rapidly deploying high-accuracy forecasts at scale. There are dozens of forecasting mod

652 Jan 03, 2023

inding a method to objectively quantify skill versus chance in games, using reinforcement learning

Skill-vs-chance-games-analysis - Finding a method to objectively quantify skill versus chance in games, using reinforcement learning

4 Nov 19, 2022

A Microsoft Azure Web App project named Covid 19 Predictor using Machine learning Model

A Microsoft Azure Web App project named Covid 19 Predictor using Machine learning Model (Random Forest Classifier Model ) that helps the user to identify whether someone is showing positive Covid sym

2 Oct 06, 2022

TensorFlowOnSpark brings TensorFlow programs to Apache Spark clusters.

TensorFlowOnSpark TensorFlowOnSpark brings scalable deep learning to Apache Hadoop and Apache Spark clusters. By combining salient features from the T

3.8k Jan 04, 2023

UpliftML: A Python Package for Scalable Uplift Modeling

UpliftML is a Python package for scalable unconstrained and constrained uplift modeling from experimental data. To accommodate working with big data, the package uses PySpark and H2O models as base l

254 Dec 31, 2022

Machine Learning from Scratch

Machine Learning from Scratch Author: Shengxuan Wang From: Oregon State University Content: Building Machine Learning model from Scratch, without usin

0 Jul 05, 2022

MBTR is a python package for multivariate boosted tree regressors trained in parameter space.

61 Dec 19, 2022

A linear regression model for house price prediction

Linear_Regression_Model A linear regression model for house price prediction. This code is using these packages, so please make sure your have install

1 Nov 29, 2021

Kubeflow is a machine learning (ML) toolkit that is dedicated to making deployments of ML workflows on Kubernetes simple, portable, and scalable.

SDK: Overview of the Kubeflow pipelines service Kubeflow is a machine learning (ML) toolkit that is dedicated to making deployments of ML workflows on

3.1k Jan 06, 2023

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

A basic Ray Tracer that exploits numpy arrays and functions to work fast.

Related tags

Overview

Python-Fast-Raytracer

Installation

Examples

Owner

Rafael de la Fuente

Dragonfly is an open source python library for scalable Bayesian optimisation.

Python library for multilinear algebra and tensor factorizations

Probabilistic programming framework that facilitates objective model selection for time-varying parameter models.

Python Extreme Learning Machine (ELM) is a machine learning technique used for classification/regression tasks.

AutoX是一个高效的自动化机器学习工具，它主要针对于表格类型的数据挖掘竞赛。它的特点包括: 效果出色、简单易用、通用、自动化、灵活。

Uses WiFi signals :signal_strength: and machine learning to predict where you are

Automated Time Series Forecasting

inding a method to objectively quantify skill versus chance in games, using reinforcement learning

A Microsoft Azure Web App project named Covid 19 Predictor using Machine learning Model

TensorFlowOnSpark brings TensorFlow programs to Apache Spark clusters.

UpliftML: A Python Package for Scalable Uplift Modeling

Machine Learning from Scratch

MBTR is a python package for multivariate boosted tree regressors trained in parameter space.

A linear regression model for house price prediction

Kubeflow is a machine learning (ML) toolkit that is dedicated to making deployments of ML workflows on Kubernetes simple, portable, and scalable.

Crypto-trading - ML techiques are used to forecast short term returns in 14 popular cryptocurrencies

ETNA – time series forecasting framework

Markov bot - A Writing bot based on Markov Chain for Data Structure Lab

QuickAI is a Python library that makes it extremely easy to experiment with state-of-the-art Machine Learning models.

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.

A basic Ray Tracer that exploits numpy arrays and functions to work fast.

Related tags

Overview

Python-Fast-Raytracer

Installation

Examples

Owner

Rafael de la Fuente

Dragonfly is an open source python library for scalable Bayesian optimisation.

Python library for multilinear algebra and tensor factorizations

Probabilistic programming framework that facilitates objective model selection for time-varying parameter models.

Python Extreme Learning Machine (ELM) is a machine learning technique used for classification/regression tasks.

AutoX是一个高效的自动化机器学习工具，它主要针对于表格类型的数据挖掘竞赛。 它的特点包括: 效果出色、简单易用、通用、自动化、灵活。

Uses WiFi signals :signal_strength: and machine learning to predict where you are

Automated Time Series Forecasting

inding a method to objectively quantify skill versus chance in games, using reinforcement learning

A Microsoft Azure Web App project named Covid 19 Predictor using Machine learning Model

TensorFlowOnSpark brings TensorFlow programs to Apache Spark clusters.

UpliftML: A Python Package for Scalable Uplift Modeling

Machine Learning from Scratch

MBTR is a python package for multivariate boosted tree regressors trained in parameter space.

A linear regression model for house price prediction

Kubeflow is a machine learning (ML) toolkit that is dedicated to making deployments of ML workflows on Kubernetes simple, portable, and scalable.

Crypto-trading - ML techiques are used to forecast short term returns in 14 popular cryptocurrencies

ETNA – time series forecasting framework

Markov bot - A Writing bot based on Markov Chain for Data Structure Lab

QuickAI is a Python library that makes it extremely easy to experiment with state-of-the-art Machine Learning models.

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.

AutoX是一个高效的自动化机器学习工具，它主要针对于表格类型的数据挖掘竞赛。它的特点包括: 效果出色、简单易用、通用、自动化、灵活。