shlpu

Android-based-Hyperspectral-Image-Classification-System

Demo_spectral_spatial_hyperspectral_classification

This is a code set for spectral-spatial hyperpsectral classifcation, including the EMAP, Gabor, LORSAL, LibSVM, MRF, and LBP methods.

allennlp

An open-source NLP research library, built on PyTorch.

AutoLOD

Automatic LOD generation + scene optimization

autopep8

A tool that automatically formats Python code to conform to the PEP 8 style guide.

awesome-anomaly-detection

A curated list of awesome anomaly detection resources

awesome-Face_Recognition

papers about Face Detection; Face Alignment; Face Recognition && Face Identification && Face Verification && Face Representation; Face Reconstruction; Face Tracking; Face Super-Resolution && Face Deblurring; Face Generation && Face Synthesis; Face Transfer; Face Anti-Spoofing; Face Retrieval;

BiSeNet-pytorch

Bilateral Segmentation Network(Face++)

cpython

The Python programming language

Deep-Learning-in-R

Tutorial: Deep learning in R using Keras

Deep-reinforcement-learning-with-pytorch

PyTorch implementation of DQN, AC, ACER, A2C, A3C, , PG, DDPG, TRPO, PPO, and ....

DeepFocus

DeepFocus: Learned Image Synthesis for Computational Displays

dupeguru

Find duplicate files

ESRGAN

ECCV18 Workshops - Enhanced SRGAN. Champion PIRM Challenge on Perceptual Super-Resolution (Third Region)

FDSSC

A Fast Dense Spectral-Spatial Convolution Network Framework for Hyperspectral Images Classification(Accepted by Remote Sensing)

Gabor_CNN_PyTorch

WACV2018/TIP: Gabor Convolutional Networks

GHM_Detection

The implementation of “Gradient Harmonized Single-stage Detector” published on AAAI 2019.

HSICF

Hyperspectral Image Classification and Fusion

imbalanced-dataset-sampler

A (PyTorch) imbalanced dataset sampler for oversampling low frequent classes and undersampling high frequent ones.

keras-deeplab-v3-plus

Keras implementation of Deeplab v3+ with pretrained weights

M2-DeepLearning

Pixelwise classification with Keras - Hyperspectral Imaging - Indian Pines Dataset

peps

Python Enhancement Proposals

PlotNeuralNet

Latex code for making neural networks diagrams

pytorch-segmentation-toolbox

PyTorch Implementations for DeeplabV3 and PSPNet

reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

RPNet

Hyperspectral Image Classification via a Random Patches Network

SHIP

An open package for supervised hyperspectral image classification task.

SSUN

Spectral-Spatial Unified Networks for Hyperspectral Image Classification

tacotron2

Tacotron 2 - PyTorch implementation with faster-than-realtime inference

x-deeplearning

An industrial deep learning framework for high-dimension sparse data