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国家自然科学基金41601361相关成果PPT

ae_ts

Auto encoder for time series

ai-hyeonwoonoh-deconvnet

amazon_forest_computer_vision

Satellite Image tagging code using PyTorch / Keras with lots of PyTorch tricks

atspy

Python's Best Automated Time Series Models (AtsPy)

attention-gated-networks

Use of Attention Gates in a Convolutional Neural Network / Medical Image Classification and Segmentation

attention-transfer

Improving Convolutional Networks via Attention Transfer (ICLR 2017)

attention_keras

Keras Layer implementation of Attention

awesome-gis

Awesome GIS is for collecting the GIS related sources, including cartographer tools, geoanalysis tools, developing tools, data, conference & communities, news, MOOC's course, some amazing map site, etc.

awesome-satellite-imagery-datasets

List of satellite imagery datasets with annotations for computer vision and deep learning

awesome-segmentations

Lots of semantic image segmentation implements with Tensorflow/Keras

caffe

Caffe: a fast open framework for deep learning.

causalnex

A Python library that helps data scientists to infer causation rather than observing correlation.

chatgpt_academic

科研工作专用ChatGPT拓展，特别优化学术Paper润色体验，支持自定义快捷按钮，支持markdown表格显示，Tex公式双显示，代码显示功能完善，新增本地Python工程剖析功能/自我剖析功能

climata

Python library for loading and iterating over climate and flow time series data (from ACIS/NOAA RCCs, CoCoRaHS, Hydromet/USBR, CNRFC ESP/NWS, SNOTEL/AWDB/NRCS, and NWIS/USGS)

climatevegetationdynamics_grangercausality

Source code for the publications on "a non-linear Granger-causality framework to investigate climate–vegetation dynamics", by Papagiannopoulou et al., GMD & ERL 2017

cnn_finetune

Fine-tune CNN in Keras

cnn_vis

Deep Visualization Toolbox Github: https://github.com/yosinski/deep-visualization-toolbox Understanding Image Representations by Inverting Them Paper: https://arxiv.org/pdf/1412.0035v1.pdf Learning FRAME Models Using CNN filters Project page: http://www.stat.ucla.edu/~yang.lu/project/deepFrame/main.html Convergent Learning: Do different neural networks learn the same representations? Github: https://github.com/yixuanli/convergent_learning Torch-visbox https://github.com/Aysegul/torch-visbox Plot caffe models online http://ethereon.github.io/netscope/#/editor Grad-CAM: Gradient-weighted Class Activation Mapping https://github.com/ramprs/grad-cam/ Quiver: Interactive Feature Visualization for Keras https://github.com/jakebian/quiver CS231 Stanford notes on Visualization http://cs231n.github.io/understanding-cnn/

cnnvisualizer

Visualizer for Deep Neural Networks

coco-annotator

:pencil2: Web-based image segmentation tool for object detection and localization

convolutional_autoencoder

A convolutional auto-encoder for compressing time sequence data of stocks.

covid-19

Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE

cs231n-2017-summary

After watching all the videos of the famous Standford's CS231n course that took place in 2017, i decided to take summary of the whole course to help me to remember and to anyone who would like to know about it. I've skipped some contents in some lectures as it wasn't important to me.

custom-scripts

A repository of custom scripts to be used with Sentinel Hub

d3

Bring data to life with SVG, Canvas and HTML. :bar_chart::chart_with_upwards_trend::tada:

datahubsystem

This webpage was decommissioned. Please visit https://github.com/SentinelDataHub/dhus-distribution

datashader

Turns even the largest data into images, accurately.

daymetr

An R Interface to the Daymet Web Services

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