alexudem Goto Github PK

aeropy

Python interface for XFOIL. The objective of this library is to be able to be able to call XFOIL from Python iteratively for any simulation in a total of 4 lines total.

airfoil-utils

utility scripts for working with coordinate files from the UIUC Airfoil Database: http://m-selig.ae.illinois.edu/ads/coord_database.html

camstyle

Camera Style Adaptation for Person Re-identification CVPR 2018

diffmem

Reference implementations of neural networks with differentiable memory mechanisms (NTM, Stack RNN, etc.)

fourierflow

[ML4PS @ NeurIPS 2021] Factorized Fourier Neural Operators

gantask

graph-pde

Using graph network to solve PDEs

hugo-academic

📝 The website builder for Hugo. Build and deploy a beautiful website in minutes!

ift6135

kaggle-project-comp551

linear-attention-transformer

Transformer based on a variant of attention that is linear complexity in respect to sequence length

neuraloperator

Learning in infinite dimension with neural operators.

panel_methods

Source and vortex panel method codes referenced in my YouTube videos.

person_reid_baseline_pytorch

Pytorch implement of Person re-identification baseline. Tutorial 👉https://github.com/layumi/Person_reID_baseline_pytorch/tree/master/tutorial

prml

PRML algorithms implemented in Python

python-xfoil

A python program to pipe commands into XFoil and run those commands through a range of NACA aerofoils

pytorch-beginner

pytorch tutorial for beginners

pytorch-dnc

Neural Turing Machine (NTM) & Differentiable Neural Computer (DNC) with pytorch & visdom

pytorch-mnist-celeba-gan-dcgan

Pytorch implementation of Generative Adversarial Networks (GAN) and Deep Convolutional Generative Adversarial Networks (DCGAN) for MNIST and CelebA datasets

pytorch-ntm

Neural Turing Machines (NTM) - PyTorch Implementation

reid_baseline

sota of reid model

torch-ntm

A Neural Turing Machine implementation in Torch.

vae-test

this repository introduce the villina version of VAE models

welcome_tutorials

Pytorch Tutorial given to IFT6135 Representation Learning Class