YiZhang025

pykan

Kolmogorov Arnold Networks

zh-google-styleguide

Google 开源项目风格指南 (中文版)

amazon-sagemaker-examples

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

cupy

NumPy & SciPy for GPU

cog

Containers for machine learning

mae

PyTorch implementation of MAE https//arxiv.org/abs/2111.06377

improved-diffusion

Release for Improved Denoising Diffusion Probabilistic Models

botorch

Bayesian optimization in PyTorch

sam

SAM: Sharpness-Aware Minimization (PyTorch)

intro_dgm

"Deep Generative Modeling": Introductory Examples

DeepReg

Medical image registration using deep learning

TransMorph_Transformer_for_Medical_Image_Registration

TransMorph: Transformer for Unsupervised Medical Image Registration (PyTorch)

pytorch-minimize

Newton and Quasi-Newton optimization with PyTorch

ITKElastix

An ITK Python interface to elastix, a toolbox for rigid and nonrigid registration of images

DeepLM

DeepLM: Large-scale Nonlinear Least Squares on Deep Learning Frameworks using Stochastic Domain Decomposition (CVPR 2021)

ParetoMTL

Code for Neural Information Processing Systems (NeurIPS) 2019 paper: Pareto Multi-Task Learning

awesome-diffusion-v2v

Awesome diffusion Video-to-Video (V2V). A collection of paper on diffusion model-based video editing, aka. video-to-video (V2V) translation. And a video editing benchmark code.

hypnettorch

Package for working with hypernetworks in PyTorch.

Conditional_LapIRN

Conditional Deformable Image Registration with Convolutional Neural Network

CoMIR

Framework for joint representation learning, evaluation through multimodal registration and comparison with image translation based approaches

uniGradICON

The official website for uniGradICON: A Foundation Model for Medical Image Registration

MIDLLatexTemplate

Latex template for the MIDL Conference

ICON

A library for performing image registration using deep learning, regularized by inverse consistency

hyperlight

Modular and intuitive Hypernetworks in Pytorch

Point-Cloud-Autoencoder

Autoencoder model for Point Clouds implemented in PyTorch

RDP

CoNeS

Conditional neural fields with shift modulation for multi-sequence MRI translation

hyperpredict

MAD

ModalityAgnosticDistance

training_labels