Mage

A Lightweight, Research-Friendly Multimodal Model Family.

https://github.com/microsoft/Mage

LLVMLITE in the Browser

This notebook explores how LLVM's optimization pipeline transforms a simple loop, step by step, using llvmlite running entirely in the browser via WebAssembly. We follow one small C++ function through three distinct stages — from source to raw stack-based IR (Intermediate Representation), through SSA form, to a closed-form calculation. After each stage, we inspect the control flow graph ...

https://notebook.link/@anutosh491/llvmlite

tsauditor: a pre-flight check for time-series data before you trust your metrics

Checks a finished time-series dataframe for common data problems before training, like leaked future information, weird spikes or stuck values, missing days in the date range, and features that drift.

https://github.com/imann128/tsauditor

cosmos-framework

Our inference and training framework to run on the Cosmos Models.

https://github.com/NVIDIA/cosmos-framework

LoopGain

An open-source cost controller for AI agent loops.

https://github.com/loopgain-ai/loopgain

browser-use / video-use

Edit videos with coding agents

https://github.com/browser-use/video-use

Emily2040 / seedance-2.0

Comprehensive production pipeline for quad-modal AI filmmaking with Seedance 2.0

https://github.com/Emily2040/seedance-2.0

percentify

Exploratory stats and data-quality diagnostics for pandas and Polars DataFrames. One call each.

https://github.com/data-centt/percentify

How To Train a Generative Kick Drum Model on Your Old Linux Desktop With 6GB of VRAM

The author trained a text-conditioned generative kick-drum model from 13,615 audio samples on a seven-year-old GPU with only 6GB of VRAM, using a VAE, latent diffusion model, and HiFi-GAN vocoder. The project shows that useful generative models can be built with modest hardware and personal datasets by compressing data into latent space, choosing practical constraints, and using serverle...

https://www.zhinit.dev/blog/training-a-kick-drum-diffusion-model

Graphify-Labs / graphify

Turn any codebase, with its docs, SQL schemas, configs, and PDFs, into a queryable knowledge graph. A /graphify skill for Claude Code, Cursor, Codex, and Gemini CLI: local deterministic AST parsing, every edge explained, no vector store.

https://github.com/Graphify-Labs/graphify

Guide to data tools landscape for developers

Found yourself on a data project and have no idea what they all are talking about? Feel excluded from all the fun discussions in the office kitchen? If only there were a humongous guide going over all the concepts and buzzwords...

https://sinja.io/blog/data-landscape-guide-for-developers

awesome-artificial-intelligence

A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers.

https://github.com/owainlewis/awesome-artificial-intelligence

Monitoring Your Django App Health on Fly.io

A step-by-step guide to connecting AppSignal to your Django app on Fly.io so you can track errors, performance, and host health from a single dashboard.

https://blog.appsignal.com/2026/07/22/monitoring-your-django-app-health-on-fly-io.html

EcoTrace

A lightweight Python library to measure the carbon footprint of your code.

https://github.com/Zwony/ecotrace

Scanwheel

Scanwheel is a drum style mechanical television you can build yourself.

https://github.com/AncientJames/Scanwheel/

claude-thermos

Keeps your Claude session warm for you. Stop paying to rebuild your Claude Code cache.

https://github.com/izeigerman/claude-thermos

OpenWorker

AI that gets your everyday tasks done. OpenWorker is an open-source AI coworker that lives on your desktop and delivers finished work, not just chat: a polished document, a Slack reply with the numbers, an updated calendar, a triaged inbox.

https://github.com/andrewyng/openworker