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awesome-computer-vision

A curated list of awesome computer vision resources

bluefog

Distributed and decentralized training framework for PyTorch over graph

book

deephpms

Deep Hidden Physics Models: Deep Learning of Nonlinear Partial Differential Equations

deeponet

Learning nonlinear operators via DeepONet

deepxde

Deep learning library for solving differential equations and more

dicompyler-core

A library of core radiation therapy modules for DICOM RT used by dicompyler

dlsc-2023

ETH Zürich Deep Learning in Scientific Computing Master's course 2023

fine_grained_classification

fourier_neural_operator

Use Fourier transform to learn operators in differential equations.

hitbeamer

基于 THU-Beamer-Theme (https://github.com/Trinkle23897/THU-Beamer-Theme) 删删改改而成的 :bug:

latex_chinesepaper

模板是针对国内的一些期刊论文提供的，可以定制自己的模板

models

npairs_loss_mamc

Unofficial implementation of "n-pairs loss for the Multi-Attention Multi-Class Constraint for Fine-grained Image Recognition" - ECCV 2018

paddledetection

Object detection and instance segmentation toolkit based on PaddlePaddle.

pde-net

PDE-Net: Learning PDEs from Data

physics-informed-deeponets

pinn_we

Discontinuity Computing Using Physics-Informed Neural Network

pinns

Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations

pinns-tf2.0

TensorFlow 2.0 implementation of Maziar Raissi's Physics Informed Neural Networks (PINNs).

unsup_temp_embed

Official implementation of the paper: Unsupervised learning of action classes with continuous temporal embedding (CVPR'19)