aiexe, the cutting-edge command-line interface (CLI/GUI) tool

pyGeo provides geometric design variables and constraints suitable for gradient-based optimization.

Pytorch implementation of "What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?"

Comparison of uncertainty estimation characteristics between Bayesian neural network based on dropout, Gaussian progress regression, and density network.

Neural Bootstrapper (NeuBoots)

What My Deep Model Doesn't Know...

TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.

Tensorforce: a TensorFlow library for applied reinforcement learning

This repository reimplemented "MC Dropout" by tensorflow 2.0 Eager Extension.

Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more

Code for MC Dropout and Model Ensembling Uncertainty Estimate experiments

Code for the ICCV 2019 paper "Sampling-free Epistemic Uncertainty Estimation Using Approximated Variance Propagation"

Code for "Uncertainty Estimation Using a Single Deep Deterministic Neural Network"

Spearmint Bayesian optimization codebase

A Web UI for easy subtitle using whisper model.

Modern Fortran Edition of the Pikaia Genetic Algorithm

Experiments used in "Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning"

Code for Concrete Dropout as presented in https://arxiv.org/abs/1705.07832

Dropout As A Bayesian Approximation: Code

A rewrite of the old legacy software "depends.exe" in C# for Windows devs to troubleshoot dll load dependencies issues.

Wind Plant Integrated System Design and Engineering Model

SU2: An Open-Source Suite for Multiphysics Simulation and Design

IBM Plex Mono에 IBM Plex Sans KR을 더하여 코딩창과 터미널에서 로마자에 어울리는 한글을 보여주는 글꼴입니다.

대항해시대2를 웹으로 편하게 즐기자!

Master the command line, in one page

OpenAeroStruct is a lightweight tool that performs aerostructural optimization using OpenMDAO.

Finite-element library for analysis and adjoint-based gradient evaluation