panyinyin Goto Github PK

38-cloud-a-cloud-segmentation-dataset

This data set includes Landsat 8 images and their manually extracted pixel-level ground truths for cloud detection.

adaptsegnet

Learning to Adapt Structured Output Space for Semantic Segmentation, CVPR 2018 (spotlight)

autoencoder

个人练习，自编码器及其变形（理论+实践）

awesome-semantic-segmentation

:metal: awesome-semantic-segmentation

c-plus-plus

Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes.

caffeonspark

Distributed deep learning on Hadoop and Spark clusters.

camvid-image-segmentation-using-fcn-resnet50-with-pytorch

Deep learning semantic segmentation on the Camvid dataset using PyTorch FCN ResNet50 neural network.

cheatsheets-ai

Essential Cheat Sheets for deep learning and machine learning researchers https://medium.com/@kailashahirwar/essential-cheat-sheets-for-machine-learning-and-deep-learning-researchers-efb6a8ebd2e5

computervisionpractice

convolution_autoencoder-

卷积自编码器用于图像重建

cplusplusthings

C++那些事

crnn.pytorch

Convolutional recurrent network in pytorch

crnn_chinese_characters_rec

(CRNN) Chinese Characters Recognition.

cs-base

图解计算机网络、操作系统、计算机组成、数据库，共 1000 张图 + 50 万字，破除晦涩难懂的计算机基础知识，让天下没有难懂的八股文！🚀 在线阅读：https://xiaolincoding.com

cs-notes

:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计

cspn

data_cube_notebooks

Jupyter Notebook examples for our Data Cube capable algorithms and functions

datacube-core

Open Data Cube analyses continental scale Earth Observation data through time

datacube-dataset-config

Scripts for indexing data into ODC instances

dea-notebooks

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

deep-learning-with-python-notebooks

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

deep-residual-networks

Deep Residual Learning for Image Recognition

deep_clustering

Implementation of [Deep Clustering for Unsupervised Learning of Visual Features]

deeplabv3_plus_rs

apply deeplabv3+ into remote sensing field, especially for semantic segmentation.

deepnetsforeo

Deep networks for Earth Observation

deepspark

Deeplearning framework running on Spark

design-patterns-py

《大话设计模式》Python实现

dist_tuto.pth

Official code for "Writing Distributed Applications with PyTorch", PyTorch Tutorial

dl_for_rsis

Deep Leaning (DL) for remote sensing image (RSI) classification.

esfnet-pytorch

ESFNet-Pytorch