Integuru

The first AI agent that builds third-party integrations through reverse engineering platforms' internal APIs.

https://github.com/Integuru-AI/Integuru

digit360

Digit 360 is a modular platform that unlocks new capabilities, and enables future research on the nature of touch.

https://github.com/facebookresearch/digit360

venvstacks

Virtual environment stacks for Python.

https://github.com/lmstudio-ai/venvstacks

Step-by-Step Python Package Deployment with GitHub Actions

Publishing a Python package doesn't have to be overwhelming! This video walks you through the entire deployment process step-by-step. You'll learn how to automate releases with GitHub Actions and how to successfully publish your package on PyPi.

https://www.youtube.com/watch?v=NMQwzI9hprg

mac_computer_use

A fork of Anthropic Computer Use that you can run on Mac computers to give Claude and other AI models autonomous access to your computer.

https://github.com/deedy/mac_computer_use

crewAIInc / crewAI

Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.

https://github.com/crewAIInc/crewAI

Basilisp: Clojure on the Python VM

Everyone knows Clojure runs on the JVM and CLR, in Node, and in the browser, but what about Python? Basilisp is a mostly-compatible implementation of Clojure for Python, enabling users who may not be familiar with Java or JavaScript to experience the joy of Clojure.

https://www.youtube.com/watch?v=ruGRHYpq448

The Polars vs pandas difference nobody is talking about

A closer look at non-elementary group-by aggregations.

https://labs.quansight.org/blog/dataframe-group-by

Muon

Muon optimizer for neural networks: >30% extra sample efficiency, <3% wallclock overhead.

https://github.com/KellerJordan/Muon

Thoughts on Django’s Core

Django's longevity is attributed to its stable core, time-based releases, and API stability policy. While there's enthusiasm for expanding Django's features, the author argues that the core should remain focused and prioritize stability. Instead, the community should embrace third-party packages as a way to innovate and extend Django's capabilities without compromising its core.

https://buttondown.com/carlton/archive/thoughts-on-djangos-core

microsoft / autogen

A programming framework for agentic AI 🤖

https://github.com/microsoft/autogen

BeamerQt

PyQt-based application to create Beamer-LaTeX Presentations.

https://github.com/acroper/BeamerQt

Flash Attention derived and coded from first principles with Triton (Python)

This video provides an in-depth, step-by-step explanation of Flash Attention, covering its derivation, implementation, and underlying concepts. The presenter explains CUDA, Triton, and autograd from scratch, then derives and codes both the forward and backward passes of Flash Attention.

https://www.youtube.com/watch?v=zy8ChVd_oTM

chonkie

The no-nonsense RAG chunking library that's lightweight, lightning-fast, and ready to CHONK your texts.

https://github.com/bhavnicksm/chonkie

pipe-operator

Elixir's pipe operator in Python.

https://github.com/Jordan-Kowal/pipe-operator

NanoDjango - single-file Django apps | uv integration

NanoDjango is a cool package that lets you build small scripts using all the power of Django, and also supports django-ninja for APIs. We'll dive into NanoDjango in this video, and will use uv and inline script metadata for dependency management.

https://www.youtube.com/watch?v=0-iuJgfQMOw