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ann-visualizer

A python library for visualizing Artificial Neural Networks (ANN)

carbon-budget

Calculate gross GHG emissions, gross carbon removals (sequestration), and net flux from forests globally

ceal_keras

Implementation of "Cost-Effective Active Learning for Deep Image Classification" paper

changedetection

A framework for change detection using PyTorch

cocoapi

COCO API - Dataset @ http://cocodataset.org/

cv

datasciencestudynotes

这个仓库保管从（数据科学学习手札69）开始的所有代码、数据等相关附件内容

dec

deep-learning-keras-tensorflow

Introduction to Deep Neural Networks with Keras and Tensorflow

deep-learning-models

Keras code and weights files for popular deep learning models.

deepnetsforeo

Deep networks for Earth Observation

deepsensing

A set of scripts to perform remote sensing image analysis using deep learning

densenet

DenseNet implementation in Keras

dl-visuals

Over 200 figures and diagrams of the most popular deep learning architectures and layers FREE TO USE in your blog posts, slides, presentations, or papers.

draw_convnet

earthengine-api

Python and JavaScript bindings for calling the Earth Engine API.

earthmapper

Pipeline for the Semantic Segmentation (i.e., classification) of Remote Sensing Imagery

fastai

The fastai deep learning library, plus lessons and and tutorials

fcn.tensorflow

Tensorflow implementation of Fully Convolutional Networks for Semantic Segmentation (http://fcn.berkeleyvision.org)

finetune_alexnet_with_tensorflow

Code for finetuning AlexNet in TensorFlow >= 1.12

finetuned-resnet50-keras

This repo shows how to finetune a ResNet50 model for your own data using Keras.

forc

Global Forest Carbon Database

forest_spatial_parameter

freeforwenku

免费下载百度文库收费资料

gdal

GDAL is an open source X/MIT licensed translator library for raster and vector geospatial data formats.

geemap

A Python package for interactive mapping with Google Earth Engine, ipyleaflet, and ipywidgets

gpd

handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

hello-world

first

hs