yufengwa

vit-efwi

This repo is the dataset and codes for ViT-EFWI, which reproduces the results of our submitted manuscript "Improved elastic full-waveform inversion with Vision Transformer reparameterization and Recurrent Neural Network reformulation"

Fine-tuning-NOs

Neural-PDE-Solver

prml

Repository of notes, code and notebooks in Python for the book Pattern Recognition and Machine Learning by Christopher Bishop

PRML

PRML algorithms implemented in Python

DeepGenerativeModelingIntro

PyTorch Code used in 'Introduction to Deep Generative Modeling'

pytorch-CycleGAN-and-pix2pix

Image-to-Image Translation in PyTorch

Applied-Deep-Learning

Applied Deep Learning Course

stable-diffusion

A latent text-to-image diffusion model

seismodinv

This repo shows two CNNs (WaveNet and Conditional Encoder-Decoder, CED) for seismic modeling and inversion.

Wavepinns

awesome-NeRF

A curated list of awesome neural radiance fields papers

nerf

Code release for NeRF (Neural Radiance Fields)

dfno

Distributed Fourier Neural Operators

mkdocs-material

Documentation that simply works

forge-demo

A 3D viz demo

Data-Science-For-Beginners

10 Weeks, 20 Lessons, Data Science for All!

DifferentialEquations.jl

Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components. Ordinary differential equations (ODEs), stochastic differential equations (SDEs), delay differential equations (DDEs), differential-algebraic equations (DAEs), and more in Julia.

K3D-jupyter

K3D lets you create 3D plots backed by WebGL with high-level API (surfaces, isosurfaces, voxels, mesh, cloud points, vtk objects, volume renderer, colormaps, etc). The primary aim of K3D-jupyter is to be easy for use as stand alone package like matplotlib, but also to allow interoperation with existing libraries as VTK.

scientific-visualization-book

An open access book on scientific visualization using python and matplotlib

super-resolution

Tensorflow 2.x based implementation of EDSR, WDSR and SRGAN for single image super-resolution

ODE-DL

Paper List For Linking ODE and Deep Learning

universal_differential_equations

Repository for the Universal Differential Equations for Scientific Machine Learning paper, describing a computational basis for high performance SciML

deeplearning-mindmap

A mindmap summarising Deep Learning concepts.

machine-learning-mindmap

A mindmap summarising Machine Learning concepts, from Data Analysis to Deep Learning.

julia

The Julia Programming Language

tensorflow

An Open Source Machine Learning Framework for Everyone

learned_gradient_tomography

Solving ill-posed inverse problems using iterative deep neural networks

awesome-production-machine-learning

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

aima-python

Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"