yaoshihuang Goto Github PK

2021-digital-china

Group intelligence optimisation of the tide cycle of shared bicycles during the morning rush hours

awesome-ai-ml-dl

Awesome Artificial Intelligence, Machine Learning and Deep Learning as we learn it. Study notes and a curated list of awesome resources of such topics.

bmxnet

(New version is out: https://github.com/hpi-xnor/BMXNet-v2) BMXNet: An Open-Source Binary Neural Network Implementation Based on MXNet

conference-acceptance-rate

Statistics of acceptance rate for the main AI conference

deep-flow-prediction

A framework for fluid flow (Reynolds-averaged Navier Stokes) predictions with deep learning

deeplearning-models

A collection of various deep learning architectures, models, and tips

deepsdf_2d

Learning Continuous Signed Distance Functions for Shape Representation

generative-design

Huyang's project 2020

git-tutorial

github-slideshow

A robot powered training repository :robot:

gp-python

gs_comm_line

https://github.com/kmichali/GS_comm_line

hello-world

lsim

LSiM is a learned metric to compute distance values for 2D data from numerical simulations

meshsdf

Code for "MeshSDF: Differentiable Iso-Surface Extraction", NeurIPS2020, SpotLight

optimizatinowithdeepsdf

pytorch-beginner

pytorch tutorial for beginners

pytorch-tutorial

PyTorch Tutorial for Deep Learning Researchers

shape-net-data

data repo for https://github.com/SeijiEmery/shape-net-utils

stress_net

Stress Field Prediction in Cantilevered Structures Using Convolutional Neural Networks

timo-s-diary

A diary about a strayer's suffering, introspection, and perhaps redemption

timo-s-diary-true

topology-optimization

Timoshenko's First Repository for Optimization

topologygan

TopologyGAN: Topology Optimization Using Generative Adversarial Networks Based on Physical Fields Over the Initial Domain

towards-the-future-of-ai

Poster for Towards the future of AI - 2022 event at Imperial College

towards-the-future-of-ai---2022-event

The poster for Towards the future of AI - 2022 event at Imperial College

trial