stable-diffusion

Stable Diffusion is a latent text-to-image diffusion model. Similar to Google's Imagen, this model uses a frozen CLIP ViT-L/14 text encoder to condition the model on text prompts. With its 860M UNet and 123M text encoder, the model is relatively lightweight and runs on a GPU with at least 10GB VRAM.

https://github.com/CompVis/stable-diffusion

Indoor Asset Tracking using Wi-Fi Triangulation

Build a complete indoor asset tracking IoT solution using the Blues Wireless Notecard, an ESP32 host MCU, the Notecarrier-F, and Datacake.

https://www.hackster.io/rob-lauer/indoor-asset-tracking-using-wi-fi-triangulation-5c5963

VNext

Next-generation Video instance recognition framework on top of Detectron2 which supports SeqFormer(ECCV Oral) and IDOL(ECCV Oral)).

https://github.com/wjf5203/VNext

Python in Visual Studio Code – September 2022 Release

This release includes the following announcements:

https://devblogs.microsoft.com/python/pvsc-sept-2022/

Accelerate Python code 100x by import taichi as ti

There is no universal solution to all optimization problems. That's partially why Python is fascinating. You can always find/create an easy-to-use tool that can precisely solve your problem at hand. In terms of scientific computing, Taichi is an ideal option within Python that can help you achieve performance comparable to C/C++.

https://docs.taichi-lang.org/blog/accelerate-python-code-100x

Multiprocessing Pool in Python

This guide provides a detailed and comprehensive review of the multiprocessing.Pool in Python, including how it works, how to use it, common questions, and best practices.

https://superfastpython.com/multiprocessing-pool-python/

Someone’s Been Messing With My Subnormals!

After noticing an annoying warning, I went on an absurd yak shave, and discovered that because of a tiny handful of Python packages built with an appealing-sounding but dangerous compiler option, more than 2,500 Python packages—some with more than a million downloads per month—could end up causing any program that uses them to compute incorrect numerical results.

https://moyix.blogspot.com/2022/09/someones-been-messing-with-my-subnormals.html

pandas-cheatsheet

An interactive Pandas Cheat sheet using PyScript.

https://github.com/dylanjcastillo/pandas-cheatsheet/

DataSloth

Natural language Pandas queries and data generation powered by GPT-3

https://github.com/ibestvina/datasloth

uber / causalml

Uplift modeling and causal inference with machine learning algorithms

https://github.com/uber/causalml

PyNLP

PyNLP Lib is an open source Python NLP library that provides functionality for both web and local development.

https://github.com/The-Text-API/pynlp-lib

WakaQ

Distributed background task queue for Python backed by Redis, a super minimal Celery.

https://github.com/wakatime/wakaq

FISSURE

The RF and reverse engineering framework for everyone

https://github.com/ainfosec/FISSURE

django-htmx-patterns

Sharing patterns I use with Django and htmx.

https://github.com/spookylukey/django-htmx-patterns

stable-diffusion-videos

Create videos with Stable Diffusion by exploring the latent space and morphing between text prompts.

https://github.com/nateraw/stable-diffusion-videos

Pyrun

Run Python code from Tweets.

https://chrome.google.com/webstore/detail/pyrun/mpkfgkeapfgoamnbdopmdlgilhjhiini

Building modern Python API backends in 2022

This guide comes from experience building api backends for a variety of startups in different industries, it serves as a starting point for what the state of “best practise” is for how we think about organising Python projects, structuring code, testing, and common libraries we’ve reused across projects.

https://backfill.dev/blog/2022-08-21-modern-python-backends/