python

Link

Text-to-image has advanced at a breathless pace in 2021 - 2022, starting with DALL·E, then DALL·E 2, Imagen, and now Stable Diffusion. I dug into a couple of papers to learn more about the space and organized my understanding into a few key concepts Link

This Not That is a suite of tools for working with, exploring, and interacting with “data maps”. A data map is a two (or three) dimensional representation of higher dimensional vector space data, usually produced by UMAP, t_SNE, or another manifold learning technique. Link

Captum (“comprehension” in Latin) is an open source, extensible library for model interpretability built on PyTorch. Link

A gallery of animations made with Morpho is available here. For more, you can also take a look at the YouTube channels Morphocular and Serpentine Integral, which use Morpho to create most of the animations. Link

Building stateful web applications can be tricky, unless you use a framework, of course—Django to the rescue! In this article, learn how to build a realtime chat app using Django Channels and WebSockets. Link

Skopeo works with API V2 container image registries such as docker.io and quay.io registries, private registries, local directories and local OCI-layout directories. Link

Many web projects have moved to the single-page application model. To use this model with Django, you build a project where Django is the back end accessed through a REST API. The Django Ninja library is a FastAPI-inspired tool kit for turning Django views into REST API endpoints with very little extra code. Along the way, you’ll be using curl, a command-line tool that allows you to grab the contents of a web page.

Spacetimeformer is a Transformer that learns temporal patterns like a time series model and spatial patterns like a Graph Neural Network. Link

dstack is a lightweight and open-source command-line tool to provision infrastructure for ML workflows. Link

Kubernetes became a de-facto standard in recent years and many of us - both DevOps engineers and developers alike - use it on daily basis. Many of the task that we perform are however, same, boring and easy to automate. Oftentimes it’s simple enough to whip up a quick shell script with a bunch of kubectl commands, but for more complicated automation tasks bash just isn’t good enough, and you need the power of proper language, such as Python.

Polars is a blazingly fast DataFrames library implemented in Rust using Apache Arrow Columnar Format as the memory model. Polars book Link

hvPlot provides a high-level plotting API built on HoloViews that provides a general and consistent API for plotting data in all the abovementioned formats. hvPlot can integrate neatly with the individual libraries if an extension mechanism for the native plot APIs is offered, or it can be used as a standalone component. To get started jump straight into the installation instructions and check out the current functionality in the User Guide.

For data scientists and data engineers, d6tflow is a python library which makes building complex data science workflows easy, fast and intuitive. It is primarily designed for data scientists to build better models faster. For data engineers, it can also be a lightweight alternative and help productionize data science models faster. Unlike other data pipeline/workflow solutions, d6tflow focuses on managing data science research workflows instead of managing production data pipelines.

d6tpipe is a python library which makes it easier to exchange data files. It’s like git for data! But better because you can include it in your data science code. Link Documentation