∫ntegrabℓε ∂iﬀerentiαℓs · unorganised notes, code, and writings of random topics

Great Expectations

January 30, 2023 blog code

Great expectations is a Python library for data validation. It tries to profile a sample dataset for what are the attributes, and the statistics of the attributes (e.g., if numeric, what are min, max, mean, variance, etc.). If you read the documentation, it would suggest you to create a data... [more]

Fixing Keras plot_model bug with expand_nested=True on functional models

December 24, 2022 blog code

Keras has a bug on its function plot_model(). It works fine for simple models but when you have nested models, i.e., a model that depends on some submodels, the plot would be wrong. Specifically, it would be wrong if the submodel is not single-input, single-output (i.e., it must be created... [more]

Language Server Protocol in neovim

December 22, 2022 blog system

My favorite editor is always vim and even better is its recent revamp, the neovim. When comparing neovim to a modern IDE, there are a lot of programming support features missing but none of the IDEs can run over SSH in text screen. To make neovim one step closer to... [more]

Mutex lock in bash shell

December 9, 2022 blog system

Implementing a mutex lock is a difficult problem for any parallel computation model. Leslie Lamport’s bakery algorithm is probably something we should use. But if the goal is merely to run a script in bash shell but not allowing duplicated parallels, there are some simple techniques that we can use.... [more]

Jacob et al (2017) Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference

December 2, 2022 paper

This is the paper behind TensorFlow Lite quantization. The objective of the paper is to make inference of a machine learning model faster, especially on mobile devices. This problem can be solved using a network architecture that fits the computation and memory constraints, such as MobileNet, SqueezeNet, ShuffleNet, and DenseNet.... [more]