PythonHub

ExecuTorch End-to-end solution for enabling on-device AI across mobile and edge devices for PyTorch models. https://github.com/pytorch/executorch

Are you using types in Python ? https://www.reddit.com/r/Python/comments/17dpmll/are_you_using_types_in_python/

Python Hub Weekly Digest for 2023-10-22 https://pythonhub.dev/digest/2023-10-22/

Why can't python develop another version of python that is "compiled" instead of interpreted which is similar to c/c++ but the syntax still look like python syntax. https://www.reddit.com/r/learnpython/comments/1791tnm/why_cant_python_develop_another_version_of_python/

LLM-scientific-feedback Can large language models provide useful feedback on research papers? A large-scale empirical analysis. https://github.com/Weixin-Liang/LLM-scientific-feedback

Interesting developers to follow? https://www.reddit.com/r/Python/comments/174bfdt/interesting_developers_to_follow/

RealtimeSTT A robust, efficient, low-latency speech-to-text library with advanced voice activity detection, wake word activation and instant transcription. Designed for real-time applications like voice assistants. https://github.com/KoljaB/RealtimeSTT

streaming-llm Efficient Streaming Language Models with Attention Sinks. https://github.com/mit-han-lab/streaming-llm

Gsplat: CUDA accelerated rasterization of gaussians with Python bindings https://docs.gsplat.studio/

genai-stack This GenAI application stack will get you started building your own GenAI application in no time. The demo applications can serve as inspiration or as a starting point. https://github.com/docker/genai-stack

swiss_army_llama A FastAPI service for semantic text search using precomputed embeddings and advanced similarity measures, with built-in support for various file types through textract. https://github.com/Dicklesworthstone/swiss_army_llama

LeptonAI A Pythonic framework to simplify AI service building. https://github.com/leptonai/leptonai

aiwaves-cn / agents An Open-source Framework for Autonomous Language Agents https://github.com/aiwaves-cn/agents

torch2jax Run PyTorch in JAX. https://github.com/samuela/torch2jax

Python in Visual Studio Code – October 2023 Release This release includes the following announcements: https://devblogs.microsoft.com/python/python-in-visual-studio-code-october-2023-release/

RegisterFields in Django An explanation of a Django model field that returns an instance of a class depending on a key. https://www.better-simple.com/django/2023/10/03/registerfields-in-django/

The Elegance of Modular Data Processing with Python’s Pipeline Approach Diving into the intricacies of data processing can often feel like navigating an intricate labyrinth. We build these elaborate processes, only to leave them untouched for fear of breaking them. But what if we could improve it? Here's my perspective on crafting a more maintainable, modular data processing workflow in Python which leans into the "pipe and filter" architectural pattern. https://github.com/dkraczkowski/dkraczkowski.github.io/tree/main/articles/crafting-data-processing-pipeline

Build Your First Pytorch Model In Minutes! In this video we will learn through doing! Build your very first PyTorch model that can classify images of playing cards. https://www.youtube.com/watch?v=tHL5STNJKag

How to Use an LLM in a SaaS Platform The video will walk you through how large language models are being used in a SaaS platform called Learntail. Learntail is an easy-to-use AI-powered quiz-generating tool. https://www.youtube.com/watch?v=fH8fJYWfJcg

Python Type Hints: pyastgrep case study The author shares their experience adding type hints to Python code in their tool pyastgrep. They discuss the challenges and benefits of using static type checking and interactive programming help to catch errors and improve code readability. https://lukeplant.me.uk/blog/posts/python-type-hints-pyastgrep-case-study/