EmailOctopus form is a script tag, this post shows how to make that work with React (using useEffect and useRef).
I've been following Sahil Lavingia since 2020 because of his viral post Reflecting on My Failure to Build a Billion-Dollar Company. I am pretty excited to read this first book from him, The Minimalist Entrepreneur. The is a recap of what I learned.
A short note about the evolution from React to the need of Redux and some supporting tool chain for it.
Trip report (itinerary and photos) from our recent trip to southern Utah (Zion, Arches, Canyonlands and Bryce).
Building Next.js app with Firebase authentication on the client-side, as well as using it on the server-side with a middleware pattern similar to Express.js.
My plan and progress updates on learning web frontend development more or less from scratch. Will be semi-regularly updated.
My takeaways from State of JS 2020 survey.
Automatically add preview / teaser content for Member-Only posts in Ghost.
Automatically generated table of contents in Ghost, conditionally shown when it is not empty.
Local development setup for Ghost themes.
Making featured posts show up first in Ghost Casper theme (instead of the default reverse chronological order).
I recently switched to Ghost to host my blog, Here are some editing tips as I learn to use this platform.
My onboarding experience with Ghost and some wishlist items for future improvements.
Exponential-min and Gumbel-max tricks for reformulating sampling from a discrete distribution as argmin and argmax, making the sampling operation differentiable.
This page is a high-level summary / notes of various recent results in language modeling with little explanations
A short list of interview preparation resources for Data Scientists, Machine Learning Engineers, Machine Learning Scientists, Quant Developers and Quant Researchers.
A literature survey of recent papers on Neural Variational Inference (NVI) and its application in topic modeling.
A high-level summary of various generative models including Variational Autoencoders (VAE), Generative Adverserial Networks (GAN), and their notable extentions and generalizations, such as f-GAN, Adversarial Variational Bayes (AVB), Wasserstein GAN, Wasserstein Auto-Encoder (WAE), Cramer GAN and etc
A quick walk-through of Expectation-Maximization (EM) algorithm and its cousins.