A summary of helpful bash command sheets.
Image Captioning: A Summary!
A summary of image-to-text translation.
An Introduction to Capsules
Decoding in Text Generation
Summary of common decoding strategies in language generation.
Sparse Matrix in Data Processing
It is wasteful to store zeros elements in a sparse matrix
, especially for incrementally data. When constructing tf-idf
and bag-of-words
features or saving graph ajacent matrix
, non-efficient sparse matrix storage might lead to the memory error
. To circumvent this problems, efficient sparse matrix storage is a choice.
Clustering Methods: A Note
Notes of clustering approaches.
An Introduction to Graph Neural Networks
Graph Neural Networks (GNNs) has demonstrated efficacy on non-Euclidean data, such as social media, bioinformatics, etc.
Generative Adversarial Networks
GANs are widely applied to estimate generative models without any explicit density function, which instead take the game-theoretic approach: learn to generate from training distribution via 2-player games.
Variational Autoencoders
This is a concise introduction of Variational Autoencoder (VAE).
An Introduction to Bloom Filter
When we check and filter out the duplicates for a web crawler, bloom filter is a good choice to curtail the memory cost. Here is a brief introduction.