This is where I store what insights in ML and software dev I came across and I felt compelled to properly structure my thought so I could at least refer that to colleagues when poorly trying to explain them on the fly.
Deploying a snapshat filter to the browser
Creating a translation app
Super simple estimation of available solar energy
Can we train neural networks without gradient descent ?
Running a docker with GPU enabled (for pytorch and tensorflow)
Self KL-divergence for detecting out of distribution data and unsupervised text classification
Model based encodings (3)
Model based encodings (2)
Model based encodings