FlashMLA

FlashMLA is an efficient MLA decoding kernel for Hopper GPUs, optimized for variable-length sequences serving.

https://github.com/deepseek-ai/FlashMLA

Creating drum machines, effects, sequencers, samplers, and synths with Python

I created a subreddit where I post scripts showing how to make drum machines, sequencers, samplers, and synths with Python.

https://www.reddit.com/r/supriya_python/s/wFMjENJQ02

vlmrun-hub

A hub for various industry-specific schemas to be used with VLMs.

https://github.com/vlm-run/vlmrun-hub

Ditching Django Admin for FastHTML with HTMX

Building a Django Admin-like dashboard with automatic refresh using FastHTML and HTMX.

https://simn.fr/posts/dicthing-django-admin-for-fasthtml

Building AI Agents for JupyterLab using Notebook Intelligence

This post introduces Notebook Intelligence (NBI), an AI coding assistant framework for JupyterLab, and demonstrates how to build AI Agents using NBI's tool-calling capabilities with examples of tools for geo-coordinate lookup, map generation, notebook creation, and sharing. It provides a guide for developers to integrate custom AI-powered functionalities into JupyterLab's Copilot Chat.

https://blog.jupyter.org/building-ai-agents-for-jupyterlab-using-notebook-intelligence-0515d4c41a61

How to add an object in Django Admin with a bookmarklet

The article explains how to create a Django Admin bookmarklet that pre-fills form fields when adding new items, like bookmarks, using a web page's URL, title, and selected text. It walks through setting up the JavaScript snippet, customizing it for your Django app, and adding it as a browser bookmark for quick data entry.

https://www.gyford.com/phil/writing/2025/02/14/django-admin-bookmarklet

Minions

Minions is a communication protocol that enables small on-device models to collaborate with frontier models in the cloud. By only reading long contexts locally, we can reduce cloud costs with minimal or no quality degradation.

https://github.com/HazyResearch/minions

AIBrix

Cost-efficient and pluggable Infrastructure components for GenAI inference.

https://github.com/vllm-project/aibrix

Craw4LLM

CRAW4LLM is an efficient web crawling method that prioritizes webpages based on their potential influence on LLM pretraining, replacing traditional graph-connectivity-based priorities. By crawling only 21% of URLs, it achieves the same downstream performance as previous methods, significantly reducing data waste and website burden.

https://github.com/cxcscmu/Craw4LLM

How Python Evolves: From PEP to Feature

Explore how Python gets new functionality and how PEPs have a huge role in this, by looking at PEP484 and its interesting backstory.

https://www.youtube.com/watch?v=TzpOdpdX7pE

CCTV_YOLO

Fast Real-time Object Detection with High-Res Output

https://github.com/SanshruthR/CCTV_YOLO

logis

Turn your git commit history into a scientific log.

https://github.com/flywhl/logis

opendbc

A Python API for your car.

https://github.com/commaai/opendbc

AI Engineering Goes Visual: Web Scraping & Data Prep with PyFlyde

In part one of two part tutorial, we explore how to use Flyde, a visual programming tool, to build a web scraper that feeds into a Retrieval Augmentation Generation (RAG) system. We will cover the process of scraping web content and storing it locally, setting the stage for more advanced AI engineering tasks.

https://blog.kodigy.com/post/visual-ai-engineering-with-pyflyde-pt1-scraper/

NotaGen

NotaGen is a symbolic music generation model leveraging Large Language Models (LLMs) through pre-training on 1.6M musical pieces, fine-tuning on classical compositions, and reinforcement learning using a novel CLaMP-DPO method.

https://github.com/ElectricAlexis/NotaGen