zhou436

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

gpt_academic

为GPT/GLM等LLM大语言模型提供实用化交互接口，特别优化论文阅读/润色/写作体验，模块化设计，支持自定义快捷按钮&函数插件，支持Python和C++等项目剖析&自译解功能，PDF/LaTex论文翻译&总结功能，支持并行问询多种LLM模型，支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, moss等。

d2l-zh

《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。

Real-Time-Voice-Cloning

Clone a voice in 5 seconds to generate arbitrary speech in real-time

awesome-deep-learning-papers

The most cited deep learning papers

Swin-Transformer

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

attention-is-all-you-need-pytorch

A PyTorch implementation of the Transformer model in "Attention is All You Need".

BasicSR

Open Source Image and Video Restoration Toolbox for Super-resolution, Denoise, Deblurring, etc. Currently, it includes EDSR, RCAN, SRResNet, SRGAN, ESRGAN, EDVR, BasicVSR, SwinIR, ECBSR, etc. Also support StyleGAN2, DFDNet.

PyTorch-VAE

A Collection of Variational Autoencoders (VAE) in PyTorch.

muzic

Muzic: Music Understanding and Generation with Artificial Intelligence

SwinIR

SwinIR: Image Restoration Using Swin Transformer (official repository)

deepxde

A library for scientific machine learning and physics-informed learning

Bayesian-Neural-Networks

Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more

vq-vae-2-pytorch

Implementation of Generating Diverse High-Fidelity Images with VQ-VAE-2 in PyTorch

PyTorch-BayesianCNN

Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.

style-based-gan-pytorch

Implementation A Style-Based Generator Architecture for Generative Adversarial Networks in PyTorch

PINNpapers

Must-read Papers on Physics-Informed Neural Networks.

dolfinx

Next generation FEniCS problem solving environment

variational-autoencoder

generate MNIST using a Variational Autoencoder

bayesian-neural-network-pytorch

PyTorch implementation of bayesian neural network [torchbnn]

sciann

Deep learning for Engineers - Physics Informed Deep Learning

SAFMN

[ICCV 2023] Spatially-Adaptive Feature Modulation for Efficient Image Super-Resolution; runner-up method for the model complexity track in NTIRE2023 Efficient SR challenge

libROM

Model reduction library with an emphasis on large scale parallelism and linear subspace methods

rbfopt

RBFOpt library for black-box optimization

ESRT

3D-GAN-superresolution

3D super-resolution using Generative Adversarial Networks

PINN-elastodynamics

physics-informed neural network for elastodynamics problem

PINN_Comp_Mech

PINN program for computational mechanics

MDRN

Multi-level Dispersion Residual Network for Efficient Image Super-Resolution

pinn-material-identification

Physics-informed neural networks for identifying material properties in solid mechanics