A local chatbot fine-tuned by bilibili user comments.

A library for scientific machine learning and physics-informed learning

This is the implementation of the RecFNO.

PyTorch implementations of Generative Adversarial Networks.

Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.

ECCV18 Workshops - Enhanced SRGAN. Champion PIRM Challenge on Perceptual Super-Resolution. The training codes are in BasicSR.

This repository is a PyTorch version of the paper "Multi-scale Residual Network for Image Super-Resolution" (ECCV 2018).

A game theoretic approach to explain the output of any machine learning model.

Applications of PINOs

Physics-constrained auto-regressive convolutional neural networks for dynamical PDEs

ConvLSTM/ConvGRU (Encoder-Decoder) with PyTorch on Moving-MNIST

Data Assimilation with Python: a Package for Experimental Research

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filte…

PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.

PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation

Deep Learning of Vortex Induced Vibrations

🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

🦖Pytorch implementation of popular Attention Mechanisms, Vision Transformers, MLP-Like models and CNNs.🔥🔥🔥

Learning in infinite dimension with neural operators.

U-FNO - an enhanced Fourier neural operator-based deep-learning model for multiphase flow

Implementation of 1D, 2D, and 3D FFT convolutions in PyTorch. Much faster than direct convolutions for large kernel sizes.

A high-level toolbox for using complex valued neural networks in PyTorch