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Human-curated Python news, projects, articles & tools. https://pythonhub.dev/
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2 657
Poor mans autoreload server in single file python on linux
The article describes a simple Python server that provides automatic browser page reload on content change, without requiring any additional setup or configuration. The server acts as a regular file server but also serves WebSocket messages over a specified path to trigger the page reload.
https://hereket.com/posts/linux_live_reload_python_server/
2 657
Cognita
RAG (Retrieval Augmented Generation) Framework for building modular, open source applications for production by TrueFoundry
https://github.com/truefoundry/cognita
2 657
tkforge
Drag & drop in Figma to create a Python GUI with ease.
https://github.com/Axorax/tkforge
2 657
TMElyralab / MuseV
MuseV: Infinite-length and High Fidelity Virtual Human Video Generation with Visual Conditioned Parallel Denoising
https://github.com/TMElyralab/MuseV
2 657
Map Machine: Python renderer for OpenStreetMap with custom icons
https://github.com/enzet/map-machine
2 657
tach
A Python tool to enforce a modular, decoupled package architecture.
https://github.com/Never-Over/tach
2 657
Django: An admin extension to prevent state leaking between requests
Here’s a small protection I added to a project a few years ago. I was considering it again since I saw a similar potential bug in a Django middleware.
https://adamj.eu/tech/2024/04/29/django-admin-prevent-leaking-requests/
2 657
LMDeploy
LMDeploy is a toolkit for compressing, deploying, and serving LLMs.
https://github.com/InternLM/lmdeploy
2 657
A Beginner’s Guide to Vector Embeddings
In this article, we’ll examine vector embeddings in depth, including the types of vector embeddings, how neural networks create them, how vector embeddings work, and how you can create embeddings for your data.
https://www.timescale.com/blog/a-beginners-guide-to-vector-embeddings/
2 657
torchtitan
A native PyTorch Library for large model training.
https://github.com/pytorch/torchtitan
2 657
TagStudio
A file and photo management application and system.
https://github.com/TagStudioDev/TagStudio
2 657
How to Build a Crystal Image Search App with Vector Search
A demonstration of how to build an application to store and query data on crystals and precious stones using Astra DB. Built with RAGStack, this web app leverages the CLIP model to provide multi-modal search to retrieve data on all kinds of crystals.
https://www.datastax.com/blog/building-a-generative-ai-crystal-image-search-app-with-vector-search
2 657
Sleepsort: Sorting while sleeping
The post introduces the "sleepsort" algorithm, a quirky sorting method that utilizes thread sleep times to sort integers in ascending order. It provides a playful yet insightful exploration of the algorithm's functionality and limitations.
https://animeshchouhan.com/posts/sleepsort
2 657
Doriandarko / maestro
A framework for Claude Opus to intelligently orchestrate subagents.
https://github.com/Doriandarko/maestro
2 657
TypeIs does what I thought TypeGuard would do in Python
The article discusses the differences between the TypeGuard and TypeIs type annotations in Python. It explains that TypeIs has more intuitive behavior compared to TypeGuard, especially when dealing with union types, and recommends using TypeIs over TypeGuard in most cases.
https://rednafi.com/python/typeguard_vs_typeis/
2 657
WebLlama
Llama-3 agents that can browse the web by following instructions and talking to you.
https://github.com/McGill-NLP/webllama
2 657
Patching requests for fun and (concurrent) profit
Because life is too short to spam calls to SSLCTXloadverifylocations().
https://blog.borrego.dev/entries/patching-requests-for-fun-and-concurrent-profit.html
2 657
cohere-toolkit
Toolkit is a collection of prebuilt components enabling users to quickly build and deploy RAG applications.
https://github.com/cohere-ai/cohere-toolkit
2 657
Local LLM-as-judge evaluation with lm-buddy, Prometheus and llamafile
This post examines how different software components came together to allow LLM-as-judge evaluation without the need for expensive GPUs. All the components were built with and chosen for their user control, open source nature, and interoperability.
https://blog.mozilla.ai/local-llm-as-judge-evaluation-with-lm-buddy-prometheus-and-llamafile
