Showing 3 open source projects for "batch ai"

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  • 1
    SkyPilot

    SkyPilot

    SkyPilot: Run AI and batch jobs on any infra

    SkyPilot is a framework for running AI and batch workloads on any infra, offering unified execution, high cost savings, and high GPU availability. Run AI and batch jobs on any infra (Kubernetes or 12+ clouds). Get unified execution, cost savings, and high GPU availability via a simple interface.
    Downloads: 0 This Week
    Last Update:
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  • 2
    DataChain

    DataChain

    AI-data warehouse to enrich, transform and analyze unstructured data

    ...Datachain is especially helpful if batch operations can be optimized – for instance, when synchronous API calls can be parallelized or where an LLM API offers batch processing.
    Downloads: 8 This Week
    Last Update:
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  • 3
    Qbot

    Qbot

    AI-powered Quantitative Investment Research Platform

    Qbot is an open source quantitative research and trading platform that provides a full pipeline from data ingestion and strategy development to backtesting, simulation, and (optionally) live trading. It bundles a lightweight GUI client (built with wxPython) and a modular backend so researchers can iterate on strategies, run batch backtests, and validate ideas in a near-real simulated environment that models latency and slippage. The project places special emphasis on AI-driven strategies — including supervised learning, reinforcement learning and multi-factor models — and offers a “model zoo” and example strategies to help users get started. For evaluation and analysis, Qbot integrates reporting and visualization (tearsheets, metrics) so you can compare performance across runs and inspect trade-level behavior. ...
    Downloads: 12 This Week
    Last Update:
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