Huanianss

LoveDA

[NeurIPS 2021] LoveDA: A Remote Sensing Land-Cover Dataset for Domain Adaptive Semantic Segmentation

DeepTrans-HSU

hu_autoencoders

A repository for methods by and implemented by the authors' that were used in the paper: Blind Hyperspectral Unmixing using Autoencoders: A Critical Comparison

segmentation_models.pytorch

Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.

ControlNet-v1-1-nightly

Nightly release of ControlNet 1.1

reparam-discrete-diffusion

Reparameterized Discrete Diffusion Models for Text Generation

multinomial_diffusion

Learn-OpenCV-cpp-in-4-Hours

learnopencv

Learn OpenCV : C++ and Python Examples

MHF-net

Code of Multispectral and Hyperspectral Image Fusion by MS/HS Fusion Net

DeepDPM

"DeepDPM: Deep Clustering With An Unknown Number of Clusters" [Ronen, Finder, and Freifeld, CVPR 2022]

Cartoon-StyleGAN

Fine-tuning StyleGAN2 for Cartoon Face Generation

annotated_deep_learning_paper_implementations

🧑‍🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

denoising-diffusion-pytorch

Implementation of Denoising Diffusion Probabilistic Model in Pytorch

Speech-Separation-Paper-Tutorial

A must-read paper for speech separation based on neural networks

GFPGAN

GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.

Learn-CUDA-Programming

Learn CUDA Programming, published by Packt

MDGCN

Multiscale Dynamic Graph Convolutional Network for hyperspectral image classification

iaf-vae

Pytorch Implementation of OpenAI's "Improved Variational Inference with Inverse Autoregressive Flow"

BayesianDeepLearning-Survey

Bayesian Deep Learning: A Survey

MML-Companion

This is a companion to the ‘Mathematical Foundations’ section of the book, Mathematics for Machine Learning by Marc Deisenroth, Aldo Faisal and Cheng Ong, written in python for Jupyter Notebook.

CppPrimer

:books: Solutions for C++ Primer 5th exercises.

matplotlib-tutorial

Matplotlib tutorial for beginner

matlabHyperspectralToolbox

MATLAB Hyperspectral Toolbox

sghmc_dgp

deepul

Remote.Sensing

Hyperspectral image unmixing.

Hyperspectral

This repository contains several hyperspectral image analysis algorithms, including unmixing, registration and fusion.

notes

Course notes

deep_learning_for_vision_systems

This repository accompanies the book "Deep Learning for Vision Systems".