Showing 4 open source projects for "code alignment"

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  • 1
    LLM Course

    LLM Course

    Course to get into Large Language Models (LLMs)

    LLM Course is a hands-on, notebook-driven path for learning how large language models work in practice, from data curation to training, fine-tuning, evaluating, and deploying. It emphasizes reproducible experiments: each step is demonstrated with runnable code, clear dependencies, and references to commonly used open-source models and libraries. Learners get exposure to multiple adaptation strategies—LoRA/QLoRA, instruction fine-tuning, and alignment techniques—so they can choose approaches that fit their hardware and budgets. The materials also cover inference optimization and quantization to make serving LLMs feasible on commodity GPUs or even CPUs, which is crucial for side projects and startups. ...
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  • 2
    Containerization (Apple)

    Containerization (Apple)

    Containerization is a Swift package for running Linux containers

    ...Developers get a blueprint for taking standard container images and running them in a way that respects platform conventions, tooling, and policies. The emphasis is on clarity and standards alignment rather than building a production-grade engine, which makes the code ideal for learning and experimentation.
    Downloads: 1 This Week
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  • 3
    Virtual Reflectometer

    Virtual Reflectometer

    Simulates basic reflectometer scans with X ray tracing.

    With Virtual Reflectometer (VR), you can simulate the basic alignment scans of a basic X ray reflectometer (diffractometer) with a Goebel mirror using ray tracing. With this program, you can characterize reflectometers and get a reflectometer-dependent overillumination correction for X Ray Reflectivity (XRR) scans. The pogram serves as an educational tool for explaining alignment and for a proper overillumination correction of XRR data. !!
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  • 4
    RNAseq Tutorial

    RNAseq Tutorial

    Informatics for RNA-seq: A web resource for analysis on the cloud

    rnaseq_tutorial is a tutorial and educational resource created by the Griffith Lab that guides users through the steps of RNA-seq data analysis. It includes working pipelines for alignment, differential expression, alternative splicing, visualization, and interpretation. It is designed to run in the cloud or local environments, providing introductory material on file formats, reference genomes / annotation, QC, mapping, quantifying expression, visualizing results, etc. The version in that...
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