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keras-deeplab-v3-plus

Keras implementation of Deeplab v3+ with pretrained weights

keras-fcn

Keras-tensorflow implementation of Fully Convolutional Networks for Semantic Segmentation（Unfinished）

keras-resources

Directory of tutorials and open-source code repositories for working with Keras, the Python deep learning library

keras_attention_block

attention block for keras Functional Model with only tensorflow backend

keras_cnn_visualisation

keras_seg

keras (tensorflow back-end) for semantic segmentation, fcn, deeplab, segnet models are covered

labelme

Image Polygonal Annotation with Python.

land_use_cnn

Classification in Remote Sensing Optical Images by CNNs

landsat

Python project that handles Landsat data processing

landsat-lai

Employing a data-driven approach to generate Leaf Area Index (LAI) maps from Landsat images over CONUS

lecun_stereo_rebuild

This is reconstruction of the paper "Training a Convolutional Neural Network to Compare Image Patches" by Keras.

luminoth

Deep Learning toolkit for Computer Vision

mask_rcnn

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

matconvnet

MatConvNet: CNNs for MATLAB

mc-cnn

Stereo Matching by Training a Convolutional Neural Network to Compare Image Patches

medium_notebook

Repository containing notebooks of my posts on Medium

ml-tutorial-experiment

Coding the Machine Learning Tutorial for Learning to Learn

modis-land-product-subset

A perl script to download MODIS land product subsets from the ORNL DAAC

neurox

nyc-buildings

An interactive 3D visualization of the all the buildings in Manhattan.

opensartoolkit

High-level functionality for the inventory, download and pre-processing of Sentinel-1 data in the python language.

peps_download

Tool to download Sentinel images from PEPS sentinel mirror site : https://peps.cnes.fr

picasso

:art: A CNN visualizer

polsar-scene-classification-dataset

polsar-semantic-segmentation-dataset

This project shares the dataset used in https://ieeexplore.ieee.org/document/8601351 Please cite "W. Wu, H. Li, X. Li, H. Guo and L. Zhang, "PolSAR Image Semantic Segmentation Based on Deep Transfer Learning—Realizing Smooth Classification With Small Training Sets," in IEEE Geoscience and Remote Sensing Letters, vol. 16, no. 6, pp. 977-981, June 2019, doi: 10.1109/LGRS.2018.2886559." when using it in your own publications.

pseudo_label-pytorch

The Simple and Efficient Semi-Supervised Learning Method for Deep Neural Networks

pydensecrf

Python wrapper to Philipp Krähenbühl's dense (fully connected) CRFs with gaussian edge potentials.

python-vegindex

Python package to generate vegetation index timeseries from PhenoCam images.

pythonmachinelearning

Practice notebooks for NumPy, Pandas, matplotlib, basic machine learning etc.

pytorch-unet

Pytorch implementation of the U-Net for image semantic segmentation, with dense CRF post-processing