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Building a GPU Compiler from Scratch
Progressive multi-level IR lowering systematically transforms high-level PyTorch graphs into optimized CUDA code through six explicit compiler stages. By separating graph fusion, hardware scheduling, and autotuning, the architecture makes GPU optimization easier to reason about, measure, and improve.
security-suite
Open-source security suite for OSINT, web scanning, API testing, SIEM integration, and AI-powered analysis.
Build your own decision model
Nish Tahir shows how to turn a small Qwen model into a fixed-choice decision model by masking outputs to allowed tokens, then evaluates and fine-tunes it on CommonsenseQA. Because the raw token probabilities are overconfident, he applies temperature scaling so the reported confidence better matches actual accuracy.
Python 3.15 for Data Scientists: Lazy Imports, frozendict, and Tachyon
Python 3.15 adds lazy imports, a built-in frozendict, and the Tachyon profiler. Learn how data scientists can use each, with before-and-after code.
Building a lift scheduling algorithm in Python
The post demonstrates how to implement a multi-elevator scheduling algorithm in Python using the LOOK algorithm to prevent out-of-order directional stops. It further explores multi-lift optimization by separating system concerns between a Dispatcher and a LiftController state machine to assign requests based on weighted cost functions.
💖 Most Popular in the Last Two Weeks
EvoOntology: A Self-Evolving Ontology Layer for Data Agents
EvoOntology is the first self-evolving ontology layer for data agents, aiming to bridge the agent-data gap over heterogeneous tables, files, and databases.
TurboPython
A Python-to-C++ compiler. Typed Python to native binaries with no Python runtime, no GC, no GIL.
AI Engineering from Scratch
Build AI systems from first principles with 523 free, open-source lessons spanning math, models, tokenizers, agents, evaluation, and production.
Lemma
The open-source workspace where humans and AI agents work as one team.
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