fanghongbin's starred repositories
dk_tutorials_2021
2021年统计后处理培训教程.
pytorch-deep-learning
Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.
pangeo-tutorial
Interactive jupyter notebooks for pangeo tutorial events
xarray-tutorial
Xarray Tutorials
data-science-ipython-notebooks
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
metview-python
Python interface to Metview meteorological workstation and batch system
Auckland_Python_Workshop
Python for Climate and Meteorological Data Analysis and Visualisation
GewitterGefahr
End-to-end machine-learning library for predicting thunderstorm hazards.
pangeo_lstm_example
Example notebook, showing how to use LSTMs for rainfall-runoff modeling
neuralhydrology
Python library to train neural networks with a strong focus on hydrological applications.
deeplearning-models
A collection of various deep learning architectures, models, and tips
python-machine-learning-book-3rd-edition
The "Python Machine Learning (3rd edition)" book code repository
rainymotion
Python library for radar-based precipitation nowcasting based on optical flow techniques
ml-design-patterns
Source code accompanying O'Reilly book: Machine Learning Design Patterns
lorenz_gan
Lorenz 96 model with GAN parameterization of unresolved scale (Y).
ams-ml-python-course
Machine Learning in Python for Environmental Science Problems AMS Short Course Material
ams-2020-ml-python-course
Materials for the Machine Learning in Python for Environmental Science Problems AMS 2020 Short Course
PlotNeuralNet
Latex code for making neural networks diagrams
nowcasting_dataset
Prepare batches of data for training machine learning solar electricity nowcasting data
pytorch-lightning
The lightweight PyTorch wrapper for ML researchers. Scale your models. Write less boilerplate
pytorch-faster-rcnn
pytorch1.0 updated. Support cpu test and demo. (Use detectron2, it's a masterpiece)
awesome-python
A curated list of awesome Python frameworks, libraries, software and resources