59 Open source projects that are alternatives of or similar to Bioindustrial-Park

physics meets neural networks

A random forest

Uncertainty-Wizard is a plugin on top of tensorflow.keras, allowing to easily and efficiently create uncertainty-aware deep neural networks. Also useful if you want to train multiple small models in parallel.

Applications of Monte Carlo methods to financial engineering projects, in Python.

Physically based renderer with Path Tracing and Photon Mapping.

🌳 Domain independent implementation of Monte Carlo Tree Search methods.

(ICML 2022) Official PyTorch implementation of “Blurs Behave Like Ensembles: Spatial Smoothings to Improve Accuracy, Uncertainty, and Robustness”.

Pre-Training Buys Better Robustness and Uncertainty Estimates (ICML 2019)

Monte Carlo software for simulating light propagation

Infinite order automatic differentiation for Monte Carlo with unnormalized probability distribution

Uncertainty Quantification 360 (UQ360) is an extensible open-source toolkit that can help you estimate, communicate and use uncertainty in machine learning model predictions.

Planning for robotic exploration based on forward simulation

Monte Carlo eXtreme for OpenCL (MCXCL)

This repository contains implementations of some basic sampling methods in numpy.

Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations

Classical and quantum Monte Carlo simulations in Julia

continuous energy monte carlo neutron transport in general geometries on GPUs

UQpy (Uncertainty Quantification with python) is a general purpose Python toolbox for modeling uncertainty in physical and mathematical systems.

VegasFlow: accelerating Monte Carlo simulation across multiple hardware platforms

A dynamic microsimulation framework for python

A sharing of the learning process of mathematical modeling 数学建模常用工具模型算法分享：数学建模竞赛优秀论文，数学建模常用算法模型，LaTeX论文模板，SPSS工具分享。

A Python module for carrying out GCMC insertions and deletions of water molecules in OpenMM.

An instructive one-file Ruby path tracer

A probabilistic programming language that combines automatic differentiation, automatic marginalization, and automatic conditioning within Monte Carlo methods.

GOMC - GPU Optimized Monte Carlo is a parallel molecular simulation code designed for high-performance simulation of large systems

Source code and data for the tutorial: "Getting started with particle Metropolis-Hastings for inference in nonlinear models"

Monte Carlo eXtreme (MCX) - GPU-accelerated photon transport simulator

Lattice gas Monte Carlo simulation code

Application of the L2HMC algorithm to simulations in lattice QCD.

Classical Monte Carlo simulations for lattice spin systems

A software to shortlist and find the best options spread available for a given stock and help it visualise using payoff graphs.

Teaching Utility for Classical Atomistic Simulation.

A Python implementation of the rough Bergomi model.

Some Monte Carlo tools

Computational Methods for Numerical Analysis

A native Julia code for lattice QCD with dynamical fermions in 4 dimension.

Quant Option Pricing - Exotic/Vanilla: Barrier, Asian, European, American, Parisian, Lookback, Cliquet, Variance Swap, Swing, Forward Starting, Step, Fader

Markov chain Monte Carlo solver for lattice spin systems implemented by Julialang

machine learning

Python implementation of the Ising model

Financial Derivatives Calculator with 168+ Models (Options Calculator)

Monte Carlo Raytracer from Scratch in C++11/14

[ICCV'19] Calibration Wizard: A Guidance System for Camera Calibration Based on Modelling Geometric and Corner Uncertainty

noisy labels; missing labels; semi-supervised learning; entropy; uncertainty; robustness and generalisation.

[CVPR'21] MonoRUn: Monocular 3D Object Detection by Reconstruction and Uncertainty Propagation

Model data as beliefs (at a certain time) about events (at a certain time).

A library for uncertainty quantification based on PyTorch

Deep learning AI, that recognizes when are people uncertain

Sampling nuclear data and uncertainty

Reusable, Easy-to-use Uncertainty module package built with Tensorflow, Keras

Code for "Depth Uncertainty in Neural Networks" (https://arxiv.org/abs/2006.08437)

Survival analysis in health economic evaluation Contains a suite of functions to systematise the workflow involving survival analysis in health economic evaluation. survHE can fit a large range of survival models using both a frequentist approach (by calling the R package flexsurv) and a Bayesian perspective.

Uncertainty-aware principal component analysis.

A professionally curated list of awesome Conformal Prediction videos, tutorials, books, papers, PhD and MSc theses, articles and open-source libraries.

A collection of Wells/Drilling Engineering tools, focused on well trajectory planning for the time being.

Pitfalls of In-Domain Uncertainty Estimation and Ensembling in Deep Learning, ICLR 2020

Fast and scalable uncertainty quantification for neural molecular property prediction, accelerated optimization, and guided virtual screening.

🖱 The mouse and trackpad utility for Mac.

Quantitative Sustainable Design (QSD) of sanitation and resource recovery systems.