Jhon-dong's repositories
STGCN-keras
Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting implementation with keras
Awesome-Earth-Artificial-Intelligence
A curated list of Earth Science's Artificial Intelligence (AI) tutorials, notebooks, software, datasets, courses, books, video lectures and papers. Contributions most welcome.
Ai-Learn
人工智能学习路线图，整理近200个实战案例与项目，免费提供配套教材，零基础入门，就业实战！包括：Python，数学，机器学习，数据分析，深度学习，计算机视觉，自然语言处理，PyTorch tensorflow machine-learning,deep-learning data-analysis data-mining mathematics data-science artificial-intelligence python tensorflow tensorflow2 caffe keras pytorch algorithm numpy pandas matplotlib seaborn nlp cv等热门领域
air_pollutants_prediction_lstm
This is a project for predicting air pollutants in London by time series model, including lstm, bilstm, Convlstm, attention lstm, lightGBM and ARIMA
autoEDA-resources
A list of software and papers related to automatic and fast Exploratory Data Analysis
awesome-open-climate-science
Awesome Open Atmospheric, Ocean, and Climate Science
Climate-Science-Analysis
Various climate science analysis and plots: Sea Surface Temperature, Winds, Sea Ice, NAO, Empirical Orthogonal Functions, etc
ClimateModeling_courseware
A collection of interactive lecture notes and assignments in Jupyter notebook format.
ClimatePython
Series of workshops and lectures using Python in the climate/atmospheric sciences
cryo-toolbox
Public repo for Python modules which may be useful for parsing/plotting sea ice data (e.g. from NSIDC, seismic traces)
d2l-pytorch
This project reproduces the book Dive Into Deep Learning (www.d2l.ai), adapting the code from MXNet into PyTorch.
deep-learning-time-series
List of papers, code and experiments using deep learning for time series forecasting
DeepLearning-500-questions
深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06
deeplearning4j
Eclipse Deeplearning4j, ND4J, DataVec and more - deep learning & linear algebra for Java/Scala with GPUs + Spark
forecasting
Time Series Forecasting Best Practices & Examples
list-of-good-things
list-of-good-things 好物清单
python-is-cool
Cool Python features for machine learning that I used to be too afraid to use. Will be updated as I have more time / learn more.
python-spider
:rainbow:Python3网络爬虫实战
SciencePlots
Matplotlib styles for scientific plotting
shiyanloutest
only test
team-learning-data-mining
主要存储Datawhale组队学习中“数据挖掘/机器学习”方向的资料。
Time-Series-ARIMA-XGBOOST-RNN
Time series forecasting for individual household power prediction: ARIMA, xgboost, RNN
Tools-to-Design-or-Visualize-Architecture-of-Neural-Network
Tools to Design or Visualize Architecture of Neural Network