xiaoli-chen/Godel

Having fun here:)

Godel

Exploring Testing Sharing

explaing model https://christophm.github.io/interpretable-ml-book/

Decorators: https://www.thecodeship.com/patterns/guide-to-python-function-decorators/

github upstream management: https://medium.com/sweetmeat/how-to-keep-a-downstream-git-repository-current-with-upstream-repository-changes-10b76fad6d97

Uncertainty

https://blog.evjang.com/2018/12/uncertainty.html

Keras

model entity embedding + model concate

• http://machinelearningarchives.blogspot.com/2018/02/entity-embeddings-of-categorical.html
• https://github.com/entron/entity-embedding-rossmann/blob/kaggle/models.py
• https://towardsdatascience.com/decoded-entity-embeddings-of-categorical-variables-in-neural-networks-1d2468311635

add new layer based on pretained model

• keras-team/keras#3465

ODE

https://blog.acolyer.org/2019/01/09/neural-ordinary-differential-equations/amp/

Math

1. VAE

• https://www.jeremyjordan.me/variational-autoencoders/

Practical Machine Learning

• label encoding in sklearn and pandas https://www.back2code.me/2017/09/numeric-and-binary-encoders-in-python/

Dropout:

https://medium.com/@bingobee01/a-review-of-dropout-as-applied-to-rnns-72e79ecd5b7b

Deep Learning Theory

• Stanford https://www.researchgate.net/project/Theories-of-Deep-Learning

Bayesian Neural Nets

• http://videolectures.net/DLRLsummerschool2018_wilson_bayesian_neural_nets/
• https://gpytorch.readthedocs.io/en/latest/

Recurrent Neural Nets

• https://timcooijmans.blogspot.com/2019/02/on-variance-of-unbiased-online.html

Autoencoder

• https://yaledatascience.github.io/2016/10/29/autoencoders.html
• https://wiseodd.github.io/techblog/2016/12/10/variational-autoencoder/

GMM and EM

• https://stephens999.github.io/fiveMinuteStats/intro_to_em.html
• https://jakevdp.github.io/PythonDataScienceHandbook/05.12-gaussian-mixtures.html

Case Study

1. CNN

• https://www.planet.com/pulse/publications/convolutional-neural-networks-used-to-detect-and-classify-ships-in-dove-imagery/

Attention model

• https://lilianweng.github.io/lil-log/2018/06/24/attention-attention.html

Kaggle: upzip https://www.kaggle.com/c/diabetic-retinopathy-detection/discussion/45994

Graph Neural nets:

https://towardsdatascience.com/a-gentle-introduction-to-graph-neural-network-basics-deepwalk-and-graphsage-db5d540d50b3

book:

1. **传统地权制度及其