sumesh1 Goto Github PK

cowc

Cars Overhead With Context related scripts described in Mundhenk et al. 2016 ECCV.

crc4docker

Python scripts for the textbook "Image Analysis, Classification and Change Detection in Remote Sensing, Fourth Revised Edition"

crcpython

Image Analysis, Classification and Change Detection in Remote Sensing

crop-type-detection-iclr-2020

Winning Solutions from Crop Type Detection Competition at CV4A workshop, ICLR 2020

crop-type-mapping

Crop type mapping of small holder farms in Tanzania, Ghana, and South Sudan

crop-type-mapping-1

Source code to Rußwurm & Körner 2019. Self-Attention for Raw Optical Satellite Time Series Classification

crowdai-mapping-challenge-mask-rcnn

Mask-RCNN baseline for the crowdAI Mapping Challenge

cs231n.github.io

Public facing notes page

cultionet_field-_boundary_delineation

Image segmentation of cultivated land

d2l-en

Dive into Deep Learning: an interactive deep learning book on Jupyter notebooks, using the NumPy interface.

darknet

YOLOv4v / Scaled-YOLOv4 - Neural Networks for Object Detection (Windows and Linux version of Darknet )

data-analysis

Data Science Using Python

datacube-notebooks

Extra documentation about using ODC with Jupyter Notebooks

datascience4geoscience

day-of-data-2.0

Files for the DDY workshops

dea-notebooks

Repository for Digital Earth Australia Jupyter Notebooks: tools and workflows for geospatial analysis with Open Data Cube and xarray

dea-waterbodies

DEA Waterbodies is a product that maps and monitors open waterbodies across Australia. Once a polygon set has been generated corresponding to open waterbodies, each waterbody is tracked over time to record the change in wet surface area over time.

decode

Python code for the DECODE method and mxnet code for Fractal ResUNet

deep-gapfill

Mirror of https://gitlab.irstea.fr/remi.cresson/deep-gapfill

deep-learning-a-z

Implementation of Various DeepLearning Techniaues in Python

deep-learning-boot-camp

A nonprofit community run, 5-day Deep Learning Bootcamp

deep-learning-drizzle

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

deep-learning-in-python

Hands-on, practical knowledge of how to use neural networks and deep learning with Keras 2.0

deep-learning-practice---udemy

Udemy deep learning practice - courtesy for lazyprogrammer

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

deep-tutorials

A collection of tutorials from Deep Learning conferences.

deep-water-map

a deep model that segments water on multispectral images

deeplearning-models

A collection of various deep learning architectures, models, and tips

deeplearningwithtf2.0

Practical Exercises in TensorFlow 2.0 for Ian Goodfellows Deep Learning Book

deepnetsforeo

Deep networks for Earth Observation