PythonHub

apple-home-key-reader This project offers a demonstration of an Apple Home Key Reader built in Python. https://github.com/kormax/apple-home-key-reader

yerfor / GeneFace GeneFace: Generalized and High-Fidelity 3D Talking Face Synthesis; ICLR 2023; Official code https://github.com/yerfor/GeneFace

AILab-CVC / VideoCrafter VideoCrafter1: Open Diffusion Models for High-Quality Video Generation https://github.com/AILab-CVC/VideoCrafter

self-operating-computer A framework to enable multimodal models to operate a computer. https://github.com/OthersideAI/self-operating-computer

easylkb Easy Linux Kernel Builder. https://github.com/deepseagirl/easylkb

pip.wtf Inline dependencies for small Python scripts. https://pip.wtf/

Python Hub Weekly Digest for 2023-12-03 https://pythonhub.dev/digest/2023-12-03/

Generative AI for Beginners A 12 Lesson course teaching everything you need to know to start building Generative AI applications. https://microsoft.github.io/generative-ai-for-beginners/

The Categories of Bugs in Python Apps When writing a Python program, errors are inevitable. However, we can manage the types of errors we produce. Let’s explore a simple model categorizing these errors, from best to worst, and discuss how mindful tool usage can improve software quality. https://threeofwands.com/the-types-of-errors-in-python-apps/

Building a Neural Network with PyTorch Building your first neural network could seem like a formidable undertaking, but deep learning frameworks like PyTorch have made the task more accessible than ever. This article explains how to build a neural network using PyTorch. https://haydenjames.io/building-a-neural-network-with-pytorch/

Azure-Samples / chat-with-your-data-solution-accelerator A Solution Accelerator for the RAG pattern running in Azure, using Azure Cognitive Search for retrieval and Azure OpenAI large language models to power ChatGPT-style and Q&A experiences. This includes most common requirements and best practices. https://github.com/Azure-Samples/chat-with-your-data-solution-accelerator

Python 3.12 Generic Types Explained This video explores how generic types in Python 3.12 work, and what the advantage is over just using the Any types. https://www.youtube.com/watch?v=q6ujWWaRdbA

Django 5.0 release candidate 1 released https://www.djangoproject.com/weblog/2023/nov/20/django-50-rc1/

Let's Code an AI Search Engine with LLM Embeddings, Django, and pgvector Large Language Models (LLMs) can be leveraged for business applications, such as content matching and job search. William Huster demonstrates how to build a prototype application that utilizes LLMs for job search. https://www.youtube.com/watch?v=OPy4dLHdZng

pytest-patterns pytest-patterns is a plugin for pytest that provides a pattern matching engine optimized for testing. https://github.com/flyingcircusio/pytest-patterns

NeumAI Neum AI is a best-in-class framework to manage the creation and synchronization of vector embeddings at large scale. https://github.com/NeumTry/NeumAI

AIConfig Config-driven, source control friendly AI application development. https://github.com/lastmile-ai/aiconfig

Inserting data via the PostgREST API using Python https://www.dataroc.ca/blog/inserting-data-via-the-postgrest-api-using-python

StyleTTS 2 Towards Human-Level Text-to-Speech through Style Diffusion and Adversarial Training with Large Speech Language Models https://github.com/yl4579/StyleTTS2

Python Is Easy. Go Is Simple. Simple != Easy https://preslav.me/2023/11/27/python-is-easy-golang-is-simple-simple-is-not-easy/