2020

Probabilistic programming-Notes-KL Divergence-Part3
Differentiation Programming-Notes
Stochastic Control-Notes-Part1-Ito operator and its L2-adjoint
CUDA-Notes-Part1-Set up CUDA computation for Tensorflow and Tensorflow2
Probabilistic programming-Notes-Varational inference-Part2
Probabilistic programming-Notes-Variational Inference-Part1
Metric Embedding-Notes-Part 1-An overview and Basic Theorems
Numpy-Notes-Part1-How to Generate Multivariates Gaussian Distribution in A Decent Way?
Mathematical Programming-Notes-Part 1-Strong Duality in Linear Programming
Stochastic Approximation Methods-Notes-Part2-Flat Minima and Gradient Descent
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