NeRF in the Dark

High Dynamic Range View Synthesis from Noisy Raw Images.

https://bmild.github.io/rawnerf/

Building A Financial Dashboard In Python With Dash

Learn how to build a simple financial dashboard in Python using Plotly Dash by diving into loading financial data from a CSV file, generating extra columns, and how to build interactive components to control what you see on the dashboard.

https://www.youtube.com/watch?v=GlRauKqI08Y

lingua-py

The most accurate natural language detection library for Python, suitable for long and short text alike.

https://github.com/pemistahl/lingua-py

Understanding async Python for the web

What is “async” Python? Why do people care about it so much? And is it really that useful for building web apps? What are all these new frameworks and other tools about? So let’s dive in.

https://www.b-list.org/weblog/2022/aug/16/async/

Python Type Hints: How to Gradually Add Types for Third Party Packages

Hynek Schlawack recently described graduality as Python’s super power: the ability to prototype in ...

https://adamj.eu/tech/2022/08/23/python-type-hints-gradually-add-types-for-third-party-packages/

DevCase

A privacy-focused and secure CMS, Blog and Portfolio made with Python & Django. Designed with developers and IT professionals in mind.

https://github.com/rob32/dev-case

Bayesian Age/Period/Cohort Models in Python with PyMC

This post shows how to use pymc to build Bayesian APC models in Python and presents a series of increasingly sophistocated systems of priors to resolve the inferential challenges these models pose.

https://austinrochford.com/posts/apc-pymc.html

The Jupyter+git problem is now solved

Jupyter notebooks don’t work with git by default. With nbdev2, the Jupyter+git problem has been totally solved. It provides a set of hooks which provide clean git diffs, solve most git conflicts automatically, and ensure that any remaining conflicts can be resolved entirely within the standard Jupyter notebook environment. To

https://www.fast.ai/2022/08/25/jupyter-git/

Unicaps

A unified Python API for CAPTCHA solving services.

https://github.com/sergey-scat/unicaps

pydantic / pydantic

Data parsing and validation using Python type hints

https://github.com/pydantic/pydantic

5 Tips To Achieve Low Coupling In Your Python Code

In this video I share 5 tips to help you write code that has low coupling. I'll show you several examples and also share a story of a technique I used several times in the past that has really helped me reduce coupling and solve more complex software design problems.

https://www.youtube.com/watch?v=qR4-PBLUZNw

Building a backend from scratch using only OpenAI Codex

Developing with Codex is a bit special, and it sometimes takes a few attempts to get it to write exactly what you want it to. But in broad strokes, getting from nothing to something in just 10 prompts is really impressive and encouraging.

https://codeball.ai/blog/codex-todo-mvc

Cog

Cog is an open-source tool that lets you package machine learning models in a standard, production-ready container.

https://github.com/replicate/cog

Stable Diffusion with Diffusers

In this post, we want to show how to use Stable Diffusion with the Diffusers library, explain how the model works and finally dive a bit deeper into how diffusers allows one to customize the image generation pipeline.

https://huggingface.co/blog/stable_diffusion

Marqo

Tensor search for humans.

https://github.com/marqo-ai/marqo

facebookresearch / esm

Evolutionary Scale Modeling (esm): Pretrained language models for proteins

https://github.com/facebookresearch/esm

docquery

An easy way to extract information from documents.

https://github.com/impira/docquery

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