PythonHub

gpt-engineer Specify what you want it to build, the AI asks for clarification, and then builds it. https://github.com/AntonOsika/gpt-engineer

Our Plan for Python 3.13 https://github.com/faster-cpython/ideas/blob/main/3.13/README.md

csunny / DB-GPT Revolutionizing Database Interactions with Private LLM Technology https://github.com/csunny/DB-GPT

Tools for Working With Time-Series Analysis in Python Just getting started with time-series analysis in Python? Here are the most common tools you can use to get started quickly. https://www.timescale.com/blog/tools-for-working-with-time-series-analysis-in-python/

OpenDAN OpenDAN is an open source Personal AI OS , which consolidates various AI modules in one place for your personal use. https://github.com/fiatrete/OpenDAN-Personal-AI-OS

Show HN: Python package for interfacing with ChatGPT with minimized complexity https://github.com/minimaxir/simpleaichat

Matting-Anything Matting Anything Model (MAM), an efficient and versatile framework for estimating the alpha matte of any instance in an image with flexible and interactive visual or linguistic user prompt guidance. https://github.com/SHI-Labs/Matting-Anything

nlpxucan / WizardLM Family of instruction-following LLMs powered by Evol-Instruct: WizardLM, WizardCoder https://github.com/nlpxucan/WizardLM

Benchmarking Python and Rust Async Web Server Performance Benchmarks showing how Python's Blacksheep and Uvicorn stack up to a Rust solution using Axum and ... https://codesolid.com/benchmarking-python-and-rust-async-web-server-performance/

Shreddit is a Python program to remove all your Reddit comments https://github.com/x89/Shreddit

Python for Finance: Pandas Resample, Groupby, and Rolling Learn how you can use resample, groupby, and rolling in pandas and supercharge your workflows with Ponder! https://ponder.io/python-for-finance-pandas-resample-groupby-and-rolling/

DeepFilterNet A Low Complexity Speech Enhancement Framework for Full-Band Audio (48kHz) using on Deep Filtering. https://github.com/Rikorose/DeepFilterNet

Image Dithering FAST In Python In this video, the concept of image dithering is explained, showcasing how dithering algorithms can effectively display images on black and white monitors while preserving reasonable contrast. The video provides coding examples utilizing packages like NumPy, Pillow, and Matplotlib to demonstrate the implementation of these algorithms. https://www.youtube.com/watch?v=Ld_cz1JwRHk

nixpkgs-python All Python versions, kept up-to-date on hourly basis using Nix. https://github.com/cachix/nixpkgs-python

survey A simple library for creating beautiful interactive prompts. https://github.com/Exahilosys/survey

roop one-click deepfake (face swap) https://github.com/s0md3v/roop

Hiera A Hierarchical Vision Transformer without the Bells-and-Whistles. https://github.com/facebookresearch/hiera

Don’t let yourself be fooled by data drift The purpose of this post is to demonstrate that not all data drift impacts model performance. Making drift methods hard to trust since they tend to produce a large number of false alarms. To illustrate this point, we will train an ML model using a real-world dataset, monitor the distribution of the model's features in production, and report any data drift that might occur. https://www.nannyml.com/blog/when-data-drift-does-not-affect-performance-machine-learning-models

LangChain Crash Course - Build apps with language models https://www.youtube.com/watch?v=LbT1yp6quS8

PyCon US 2023 Video Recordings from PyCon US 2023 in Salt Lake City, UT. https://www.youtube.com/playlist?list=PL2Uw4_HvXqvY2zhJ9AMUa_Z6dtMGF3gtb