enjamamulhoq Goto Github PK

how-to-write-a-paper

How to write a high quality scientific article using LaTeX. Source code included.

image_transformer

Pytorch implementation of the image transformer for unconditional image generation

information-retrieval

Assignments

inptoxml

a simple code to convert ABAQUS 2D input file to XML files for FEniCS

keras

Theano-based Deep Learning library (convnets, recurrent neural networks, and more).

keras-mmoe

A Keras implementation of "Modeling Task Relationships in Multi-task Learning with Multi-gate Mixture-of-Experts" (KDD 2018)

keras-normalizing-flows

Normalizing flows Keras layer

keras-squeeze-excite-network

Implementation of Squeeze and Excitation Networks in Keras

keras-srgan

Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network implemented in Keras

keras_odenet

Implementation of (2018) Neural Ordinary Differential Equations on Keras

latex-resources

Collection of LaTeX resources and examples.

learning-rates

How optimizer and learning rate choice affects training performance

leetcode-solutions

🏋️ Python / Modern C++ Solutions of All 2167 LeetCode Problems (Weekly Update)

lstm_rom_arxiv

A Deep Learning based Approach to Reduced Order Modeling for Turbulent Flow Control using LSTM Neural Networks. arXiv:1804.09269

machine-learning-with-python-cookbook-notes

My jupyter notebooks/code samples from Chris Albon's Machine Learning with Python Cookbook

menpo3d

Tools for manipulating 3D meshes within the Menpo project.

meshcnn

Convolutional Neural Network for 3D meshes in PyTorch

ml

ml-class

Machine learning lessons and teaching projects designed for engineers

nn_robust_attacks

Robust evasion attacks against neural network to find adversarial examples

normalizing-flows

Understanding normalizing flows

normalizing-flows-tutorial

Tutorial on normalizing flows.

nurbs-python

Object-oriented pure Python B-Spline and NURBS library

nyu-dlsp21

NYU Deep Learning Spring 2021

odb2vtk

Python script converts Abaqus ODB files to VTK format for Paraview visualisation

odb2vtkplus

phydnet

Code for our CVPR 2020 paper "Disentangling Physical Dynamics from Unknown Factors for UnsupervisedVideo Prediction"

physics-based-deep-learning

Links to works on deep learning algorithms for physics problems, TUM-I15 and beyond

pid-gan

pinn-elastodynamics

physics-informed neural network for elastodynamics problem