3 projects for "deep mind" with 2 filters applied:

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  • 1
    FinRobot

    FinRobot

    An Open-Source AI Agent Platform for Financial Analysis using LLMs

    ...It provides developers and quants with structured modules to fetch market data, process time series, generate technical indicators, and construct features appropriate for machine learning models, while also supporting backtesting and evaluation metrics to measure strategy performance. Built with modularity in mind, FinRobot allows users to plug in custom models — from classical algorithms to deep learning architectures — and orchestrate components in pipelines that can run reproducibly across experiments. The framework also tends to include automation layers for deployment, enabling trained models to operate in live or simulated environments with scheduled re-training and risk controls in place.
    Downloads: 0 This Week
    Last Update:
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  • 2
    Vidi2

    Vidi2

    Large Multimodal Models for Video Understanding and Editing

    ...Vidi targets applications like intelligent video editing, automated video search, content analysis, and editing assistance, enabling users to efficiently locate relevant segments and objects in hours-long footage. The system is built with open-source release in mind, giving developers access to model code, inference scripts, and evaluation pipelines so they can reproduce research results or integrate Vidi into their own video-processing workflows.
    Downloads: 3 This Week
    Last Update:
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  • 3
    Machine Learning Mindmap

    Machine Learning Mindmap

    A mindmap summarising Machine Learning concepts

    Machine Learning Mindmap repository is an open educational project that presents a comprehensive visual overview of the machine learning ecosystem through a structured mind map and cheat sheet. The project organizes a wide range of machine learning topics into an interconnected diagram that helps learners understand how concepts relate to one another across the broader field of artificial intelligence. The mind map covers fundamental areas such as data preprocessing, statistical analysis, supervised learning, unsupervised learning, reinforcement learning, and deep learning architectures. ...
    Downloads: 0 This Week
    Last Update:
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