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News & links about Python programming.
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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
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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
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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
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
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13 Models and 4 Agents on SWE Tasks: Go, Java, Python, Rust, TS

https://swe-rebench.com
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Bringing PyTorch Monarch to AMD GPUs: Single-Controller Distributed Training on ROCm

PyTorch Monarch now supports AMD GPUs through ROCm, enabling developers to orchestrate large distributed training workloads from a single Python program. Its fault-tolerant architecture isolates failures and lets healthy GPUs continue training while failed nodes recover, reducing restarts, wasted computation, and infrastructure costs.

https://pytorch.org/blog/bringing-pytorch-monarch-to-amd-gpus-single-controller-distributed-training-on-rocm/
The Design of Everyday Cryptography

The article explains why cryptographic protocols should be designed to be difficult to misuse, comparing the simplicity of key encapsulation mechanisms (KEMs) with the complexity of modern digital signatures. It proposes designing opinionated, single-purpose, testable, and upgradeable cryptographic interfaces that reduce implementation errors and improve security.

https://www.dlp.rip/everyday-cryptography/
AgriciDaniel / claude-seo

Universal SEO skill for Claude Code. 25 sub-skills + 18 sub-agents covering technical SEO, E-E-A-T, schema, GEO/AEO, backlinks, local SEO, maps intelligence, semantic clustering, e-commerce SEO, international SEO, Google APIs, and PDF/Excel reporting. Optional DataForSEO, Firecrawl, and Banana extensions.

https://github.com/AgriciDaniel/claude-seo
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