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

Hiera

A Hierarchical Vision Transformer without the Bells-and-Whistles.

https://github.com/facebookresearch/hiera

roop

one-click deepfake (face swap)

https://github.com/s0md3v/roop

survey

A simple library for creating beautiful interactive prompts.

https://github.com/Exahilosys/survey

nixpkgs-python

All Python versions, kept up-to-date on hourly basis using Nix.

https://github.com/cachix/nixpkgs-python

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

DeepFilterNet

A Low Complexity Speech Enhancement Framework for Full-Band Audio (48kHz) using on Deep Filtering.

https://github.com/Rikorose/DeepFilterNet

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/

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/

nlpxucan / WizardLM

Family of instruction-following LLMs powered by Evol-Instruct: WizardLM, WizardCoder

https://github.com/nlpxucan/WizardLM

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

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

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/

csunny / DB-GPT

Revolutionizing Database Interactions with Private LLM Technology

https://github.com/csunny/DB-GPT

gpt-engineer

Specify what you want it to build, the AI asks for clarification, and then builds it.

https://github.com/AntonOsika/gpt-engineer

SQL Databases with Pandas and Python - A Complete Guide

In this Python tuturial we talk all about connecting to SQL Databases with Python and Pandas. Python is the swiss army knife of data anaylsis, and relational databases are the most common way data is stored at small and large companies. Learning how to best connect the two is an essential skill for any data professional.

https://www.youtube.com/watch?v=DiQ5Hni6oRI