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pyjhtdb

Python wrapper for the Johns Hopkins turbulence database library

pykrige

Kriging Toolkit for Python

pykriging

Welcome to the User Friendly Python Kriging Toolbox!

python-pcl

Python bindings to the pointcloud library (pcl)

pytorch-maml-rl

Reinforcement Learning with Model-Agnostic Meta-Learning in Pytorch

reinforcement-learning-2nd-edition-by-sutton-exercise-solutions

Solutions of Reinforcement Learning, An Introduction

resume

An elegant \LaTeX\ résumé template

scikit-opt

Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization Algorithm,Immune Algorithm, Artificial Fish Swarm Algorithm, Differential Evolution and TSP(Traveling salesman) 遗传、粒子群、模拟退火、蚁群算法等

sjtuthesis

上海交通大学 XeLaTeX 学位论文及课程论文模板

smarties

Lightweight and scalable framework for Reinforcement Learning

sph3d-gcn

Spherical Kernel for Efficient Graph Convolution on 3D Point Clouds

sto_exploration

The code for paper <Generative Design by Using Exploration Approaches of Reinforcement Learning in Density-Based Structural Topology Optimization> by Hongbo Sun * and Ling Ma

t-blade3

T-Blade3 VERSION 1.2: T-Blade3 is a general parametric 3D blade geometry builder. The tool can create a variety of 3D blade geometries based on few basic parameters and limited interaction with a CAD system. The geometric and aerodynamic parameters are used to create 2D airfoils and these airfoils are stacked on the desired stacking axis. The tool generates a specified number of 2D blade sections in a 3D Cartesian coordinate system. The geometry modeler can also be used for generating 3D blades with special features like bent tip, split tip and other concepts, which can be explored with minimum changes to the blade geometry. The use of control points for the definition of splines makes it easy to modify the blade shapes quickly and smoothly to obtain the desired blade model. The second derivative of the mean-line (related to the curvature) is controlled using B-splines to create the airfoils. This is analytically integrated twice to obtain the mean-line. A smooth thickness distribution is then added to the airfoil with two options either the Wennerstrom distribution or a quartic B-spline thickness distribution. B-splines have also been implemented to achieve customized airfoil leading and trailing edges.

tbnns

Tensor Basis Neural Network for Scalar Mixing

tegan

Generative Adversarial Network (GAN) for physically realistic enrichment of turbulent flow fields

tensorflow-2.x-tutorials

TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0版入门实例代码，实战教程。

tensorflow-generative-model-collections

Collection of generative models in Tensorflow

tensorflow-in-practice-code

源码实现：《TensorFlow实战》黄文坚，唐源 著

tensorflow-tutorial

Tensorflow tutorial from basic to hard

tensorflow2-zh

TensorFlow2.0 官方教程翻译，基本概念讲解、实战项目、TensorFlow2.0编程技巧。

tensorflow2.0-examples

💥 Tensorflow2.x Examples from basic to hard

tensorflow2.0-examples-1

Jupyter notebooks to help you started with tensorflow 2.0

tensorflow2_tutorials_chinese

tensorflow2中文教程，持续更新(当前版本:tensorflow2.0)，tag: tensorflow 2.0 tutorials

tensorforce

Tensorforce: a TensorFlow library for applied reinforcement learning

tf2-rl

Reinforcement learning algorithms implemented for Tensorflow 2.0+ [DQN, DDPG, AE-DDPG, SAC, PPO, Primal-Dual DDPG]

the-gan-zoo

A list of all named GANs!

tooptix

Overview of the ToOptix Module and Addons

transferlearning

Everything about Transfer Learning and Domain Adaptation--迁移学习

turbulence-modeling-piml

Data-driven Reynolds stress modeling with physics-informed machine learning

turbulent-flow-net