presents "a different approach concentrating on the migration from Python to Numpy through vectorization..." with "a lot of techniques that you don't find in books and such techniques are mostly learned through experience"
"[D]o you want to make typographic graphics and animations with code? This is a good & idiosyncratic way to do that." this is tremendous, wow!!
"a Python compiler that aims to provide optimized machine code by compiling type-annotated Python code. It offers several backends, including LLVM, C, C++, and WASM, which allow it to generate code into multiple target languages simultaneously."
terminal-based gui toolkit for python
wow. thorough and easy to follow, definitely need to go through this a some point
raster to vector conversion in a clever way that doesn't result in double contours around strokes
could be fun to play with. "With the help of state-of-the-art deep learning models, Layout Parser enables extracting complicated document structures using only several lines of code. This method is also more robust and generalizable as no sophisticated rules are involved in this process."
spacy 3 tutorials
python interface for the HTRC Extracted Features dataset
should make sure I know all this stuff
python-based mush/moo thing! could be fun to play around with
rad as fuck imo: send your arduino sketch in a cell, read and plot incoming data in another cell
Neuraxio/Neuraxle: Build neat pipelines with the right abstractions to do AutoML. Let your pipeline steps have hyperparameter spaces. Enable checkpoints to cut duplicate calculations. Go from research to production environment easily.
"a Machine Learning (ML) library for building neat pipelines, providing the right abstractions to both ease research, development, and deployment of your ML applications. [...] [T]he optimizer is a model itself that maps features of datasets and features of the hyperparameter space to a guessed performance score to predict the best hyperparameters."
like k-means but 1d, good overview
"This document serves as an introduction, crash course, and quick API reference for TensorFlow 2.0." helpful, works up from the very basics
"it seems asycio is perfectly suited for writing tarpits!"
via @arnicas on twitter, a helpful list. (but binder is the only non-proprietary option listed, which makes me sad)