Showing 6 open source projects for "machine language"

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  • 1
    Awesome Fraud Detection Research Papers

    Awesome Fraud Detection Research Papers

    A curated list of data mining papers about fraud detection

    A curated list of data mining papers about fraud detection from several conferences.
    Downloads: 0 This Week
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  • 2
    AI Data Science Team

    AI Data Science Team

    An AI-powered data science team of agents

    AI Data Science Team is a Python library and agent ecosystem designed to accelerate and automate common data science workflows by modeling them as specialized AI “agents” that can be orchestrated to perform tasks like data cleaning, transformation, analysis, visualization, and machine learning. It provides a modular agent framework where each agent focuses on a step in the typical data science pipeline — for example, loading data from CSV/Excel files, cleaning and wrangling messy datasets, engineering predictive features, building models with AutoML, connecting to SQL databases, and producing visual outputs — all driven by natural language or programmatic instructions. ...
    Downloads: 0 This Week
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  • 3
    Orchest

    Orchest

    Build data pipelines, the easy way

    ...Easily define your dependencies to run on any machine. Run any subset of the pipeline directly or periodically.
    Downloads: 0 This Week
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  • 4
    CSAPP-Labs

    CSAPP-Labs

    Solutions and Notes for Labs of Computer Systems

    CSAPP-Labs is a repository that organizes and provides practical lab exercises corresponding to the famous textbook Computer Systems: A Programmer’s Perspective (CS:APP), helping students deepen their understanding of how computer systems work at the machine level. The exercises cover core topics such as data representation, assembly language, processor architecture, cache behavior, memory hierarchy, linking, and concurrency, contextualizing abstract concepts from the book in real code and experiments. Each lab is structured to include test programs, Makefiles, harnesses, and step-by-step instructions that guide students through hands-on interaction with low-level programming and system behavior. ...
    Downloads: 5 This Week
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    Build Agents and Models on One Platform

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  • 5
    Deep Learning with PyTorch

    Deep Learning with PyTorch

    Latest techniques in deep learning and representation learning

    This course concerns the latest techniques in deep learning and representation learning, focusing on supervised and unsupervised deep learning, embedding methods, metric learning, convolutional and recurrent nets, with applications to computer vision, natural language understanding, and speech recognition. The prerequisites include DS-GA 1001 Intro to Data Science or a graduate-level machine learning course. To be able to follow the exercises, you are going to need a laptop with Miniconda (a minimal version of Anaconda) and several Python packages installed. The following instruction would work as is for Mac or Ubuntu Linux users, Windows users would need to install and work in the Git BASH terminal. ...
    Downloads: 0 This Week
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  • 6

    Raku-DSL-Shared

    Raku package for DSL shared utilities and grammar roles.

    ...Here are "the first wave" roles: Error handling role Common English terms and phrases role used in workflows from Machine Learning, Data Science, or Scientific Computing Predicate specification role
    Downloads: 0 This Week
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