10 projects for "tracker" with 2 filters applied:

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  • 1
    Habit Tracker

    Habit Tracker

    Habit Tracker for the AI Coding Workshop

    Habit Tracker is a personal habit-tracking web application designed to help users build and maintain daily habits through intuitive UI and analytics that visualize progress over time. It runs locally with a FastAPI backend (Python) and a React frontend, storing all data in a lightweight SQLite database so there’s no need for user accounts or cloud storage, which keeps habit data fully private and self-contained.
    Downloads: 0 This Week
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  • 2
    SAM 3

    SAM 3

    Code for running inference and finetuning with SAM 3 model

    SAM 3 (Segment Anything Model 3) is a unified foundation model for promptable segmentation in both images and videos, capable of detecting, segmenting, and tracking objects. It accepts both text prompts (open-vocabulary concepts like “red car” or “goalkeeper in white”) and visual prompts (points, boxes, masks) and returns high-quality masks, boxes, and scores for the requested concepts. Compared with SAM 2, SAM 3 introduces the ability to exhaustively segment all instances of an...
    Downloads: 37 This Week
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  • 3
    SparkyFitness

    SparkyFitness

    Track food, fitness, water, and health

    SparkyFitness is a comprehensive self-hosted fitness and wellness tracker designed to help individuals and families monitor nutrition, exercise, hydration, and body measurements in one unified platform. It provides tools for logging daily meals with nutritional breakdowns, tracking workouts with an extensive exercise database, and visualizing long-term progress using interactive charts and reports. The system also supports water intake goals, body metric logging (such as weight and measurements for different muscle groups), and customizable goals to help users stay motivated and accountable. ...
    Downloads: 4 This Week
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  • 4
    InvestBrain

    InvestBrain

    LLM-enabled investment tracker that consolidates market performance

    InvestBrain is a financial portfolio management and investment insight platform designed to help individual investors track assets, analyze performance, and explore data-driven insights across markets. It provides tools to import financial data such as stocks, cryptocurrencies, or ETFs, maintain watchlists, and view performance summaries that highlight gains, losses, allocations, and historical trends. The interface blends real-time or near-real-time market data with personalized analytics,...
    Downloads: 3 This Week
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  • 5
    Granite TSFM

    Granite TSFM

    Foundation Models for Time Series

    ...It documents the currently supported Python versions and points users to where the core TSFM models are hosted and how to wire up service components. Issues and examples in the tracker illustrate common tasks such as slicing inference windows or using pipeline helpers that return pandas DataFrames, grounding the library in day-to-day time-series operations. The ecosystem around TSFM also includes a community cookbook of “recipes” that showcase capabilities and patterns. Overall, the repo is designed as a hands-on companion for teams adopting time-series foundation models in production-leaning settings.
    Downloads: 2 This Week
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  • 6
    firerpa LAMDA

    firerpa LAMDA

    The most powerful Android RPA agent framework

    ...The project emphasizes low-friction setup and powerful control primitives so teams can move from interactive validation to repeatable automation. A public wiki, releases, and issue tracker show active development across areas like connectivity, instrumentation compatibility, and robustness under detection. Together with companion projects (e.g., a device hub), lamda is positioned as a next-generation mobile automation stack rather than a single tool. Its focus on remote control plus RPA primitives makes it useful for QA, operations, and large-scale device orchestration.
    Downloads: 0 This Week
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  • 7
    AB3DMOT

    AB3DMOT

    Official Python Implementation for "3D Multi-Object Tracking

    ...Its tracking pipeline relies on a combination of classical algorithms, including a Kalman filter for state estimation and the Hungarian algorithm for data association between detected objects and existing tracks. This relatively simple design allows the tracker to achieve very high processing speeds while maintaining competitive tracking accuracy. The project also introduces new evaluation metrics specifically designed for assessing performance in 3D tracking benchmarks. The framework has been evaluated on widely used datasets such as KITTI and nuScenes and demonstrates strong performance compared with more complex tracking systems.
    Downloads: 0 This Week
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  • 8
    DetectAndTrack

    DetectAndTrack

    The implementation of an algorithm presented in the CVPR18 paper

    ...Code and instructions are organized to replicate paper results and to serve as a starting point for researchers working on pose in video. Although the repo has been archived and is now read-only, its issue tracker and artifacts remain useful for understanding implementation details and experimental settings. The project sits alongside other Facebook Research vision efforts, offering historical context for the evolution of video pose and tracking techniques. Researchers can still study the algorithms, adapt the pipeline, or port ideas into modern frameworks.
    Downloads: 0 This Week
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  • 9

    AIStockBot

    Stock Analysis Program

    AIStockBot aims to become the greatest Technical and Fundamental Stock Analysis program using different approaches including Artificial Intelligence. It strives to recommend stocks better than your average Financial Adviser.
    Downloads: 0 This Week
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  • 10
    proGPUKLT is a library for the Processing programming language and environment that wraps a GPU-implementation of the Kanade-Lucas-Tomasi feature tracker used for computer vision applications.
    Downloads: 0 This Week
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