Search Results for "tracking"
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Showing 349 open source projects for "tracking"
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Tracking Any Point (TAP)
DeepMind model for tracking arbitrary points across videos & robotics
TAPNet is the official Google DeepMind repository for Tracking Any Point (TAP), bundling datasets, models, benchmarks, and demos for precise point tracking in videos. The project includes the TAP-Vid and TAPVid-3D benchmarks, which evaluate long-range tracking of arbitrary points in 2D and 3D across diverse real and synthetic videos. Its flagship models—TAPIR, BootsTAPIR, and the latest TAPNext—use matching plus temporal refinement or next-token style propagation to achieve state-of-the-art accuracy and speed on TAP-Vid. ... -
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BoxMOT
Pluggable SOTA multi-object tracking modules for segmentation
BoxMOT is an open-source framework designed to provide modular implementations of state-of-the-art multi-object tracking algorithms for computer vision applications. The project focuses on the tracking-by-detection paradigm, where objects detected by vision models are continuously tracked across frames in a video sequence. It provides a pluggable architecture that allows developers to combine different object detectors with multiple tracking algorithms without modifying the core codebase. ... -
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Bunkr Downloader
Yet bunkrr album downloader
...It is implemented in Python and focuses on providing a structured workflow for downloading, organizing, and synchronizing media collections. The tool allows users to input album URLs and automatically download all associated media while maintaining a local metadata database for tracking content. It includes features for managing albums as a persistent library, enabling users to add, remove, or sync albums over time without re-downloading existing files. bonkrr also categorizes downloaded content into different media types such as images, videos, and archives, improving organization and usability. The use of SQLite for local storage ensures efficient tracking of downloads and metadata synchronization. ... -
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Norfair
Lightweight Python library for adding real-time multi-object tracking
Norfair is a customizable lightweight Python library for real-time multi-object tracking. Using Norfair, you can add tracking capabilities to any detector with just a few lines of code. Any detector expressing its detections as a series of (x, y) coordinates can be used with Norfair. This includes detectors performing tasks such as object or keypoint detection. It can easily be inserted into complex video processing pipelines to add tracking to existing projects. ... -
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WiFi DensePose
Turn WiFi signals into real-time human pose estimation and detection
WiFi DensePose is a production-oriented implementation of a WiFi-based human pose estimation system that enables real-time full-body tracking using wireless signals rather than cameras. The project demonstrates how commodity mesh routers and signal processing techniques can be leveraged to infer dense human pose information, even through obstacles such as walls. It is designed to showcase the emerging field of RF-based sensing, where machine learning models interpret wireless channel data to reconstruct human movement and posture. ... -
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WeebCentral Downloader
A powerful manga downloader for WeebCentral with both GUI and CLI
...Users can select specific chapters, adjust download speed, and configure output formats such as PDF or CBZ, making it adaptable to different reading preferences. The tool also incorporates progress tracking and background worker threads to ensure a responsive experience during large downloads. Its modular structure separates scraping logic, interface components, and configuration management, making it maintainable and extensible. -
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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 open-vocabulary concept specified by a short phrase or exemplars, scaling to a vastly larger set of categories than traditional closed-set models. ... -
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OpenLIT
OpenLIT is an open-source LLM Observability tool
OpenLIT is an OpenTelemetry-native tool designed to help developers gain insights into the performance of their LLM applications in production. It automatically collects LLM input and output metadata and monitors GPU performance for self-hosted LLMs. OpenLIT makes integrating observability into GenAI projects effortless with just a single line of code. Whether you're working with popular LLM providers such as OpenAI and HuggingFace, or leveraging vector databases like ChromaDB, OpenLIT... -
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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. -
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owllook
Vertical novel search engine with unified reading and tracking tools
...It aggregates results from multiple search engines and applies parsing rules to extract novel metadata, chapters, and content in a consistent format. Owllook also includes functionality for tracking reading history, displaying rankings based on search activity, and recommending books using a similarity-based approach. Owllook is built using asynchronous technologies to support efficient data retrieval and responsive interactions while reading or searching. -
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TimeTracker
Open-source and free to self-host
TimeTracker by DRYTRIX is a comprehensive self-hosted time tracking and project management application that helps individuals, teams, and small businesses take control of their productivity and billing. Built on a modern web stack (Python/Flask backend with a responsive frontend), TimeTracker enables users to track hours, manage projects and clients, visualize data with interactive charts, and even generate professional invoices directly from tracked time. -
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MLE-Agent
Intelligent companion for seamless AI engineering and research
MLE-Agent is designed as a pairing LLM agent for machine learning engineers and researchers. A library designed for managing machine learning experiments, tracking metrics, and model deployment. -
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HY-World 1.5
A Systematic Framework for Interactive World Modeling
...It blends advanced reasoning with multimodal synthesis, enabling agents to describe scenes, generate context-appropriate responses, and contribute to narrative or gameplay flows. The underlying framework typically supports large-context state tracking across extended interactions, blending temporal and spatial multimodal signals. -
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FitTrackee
Self-hosted outdoor activity tracker
FitTrackee is a self-hostable fitness tracking and workout management platform designed to help individuals and small groups monitor physical activity, set goals, and review performance over time with clarity and flexibility. It provides an organized environment for logging workouts, recording metrics like sets, reps, durations, and weights, and visualizing progress through charts and summaries that detail trends in strength, endurance, and consistency. -
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MLflow
Open source platform for the machine learning lifecycle
MLflow is a platform to streamline machine learning development, including tracking experiments, packaging code into reproducible runs, and sharing and deploying models. MLflow offers a set of lightweight APIs that can be used with any existing machine learning application or library (TensorFlow, PyTorch, XGBoost, etc), wherever you currently run ML code (e.g. in notebooks, standalone applications or the cloud). -
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SwanLab
An open-source, modern-design AI training tracking and visualization
SwanLab is an open-source experiment tracking and visualization platform designed to help machine learning engineers monitor, compare, and analyze the training of artificial intelligence models. The tool records training metrics, hyperparameters, model outputs, and experiment configurations so that developers can easily understand how different experiments perform over time. -
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WYGIWYH
A simple but powerful self-hosted finance tracker
WYGIWYH (What You Get Is What You Have) is a self-hosted, principles-first personal finance tracker built for people who prefer a simple, intuitive approach to tracking money without complicated budgets or categories. Based on a philosophy that you should use what you earn each month for that month, it helps you understand where your funds go while keeping savings clearly separated so they aren’t accidentally dipped into for everyday expenses. The app supports multiple currencies, customizable transaction types, and built-in tools like dollar-cost averaging tracking to help you see investment activity alongside regular expenses, making it flexible for real world financial situations and global use. ... -
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Nitter
Alternative Twitter front-end
...It acts as a proxy between the user and Twitter, ensuring that requests are handled by the backend server rather than exposing the user’s IP address or browser fingerprint. The interface is intentionally minimalistic and removes elements such as advertisements, tracking scripts, and algorithmic timelines, presenting content in a chronological and distraction-free format. Users can view profiles, tweets, media, and replies without needing to log in, making it useful for anonymous browsing and content consumption. The system also supports RSS feeds and advanced search features, enabling integration with external tools and workflows. ... -
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Ungoogled Chromium Windows
Windows packaging for ungoogled-chromium
Ungoogled Chromium Windows is the Windows build configuration and tooling for Ungoogled Chromium, a fork of the Chromium browser that removes Google-specific services, tracking, and invasive integrations to deliver a more privacy-respectful, user-controlled web experience on Microsoft platforms. This project specifically targets the Windows ecosystem, supplying build scripts, patches, and configuration files necessary to compile Chromium without telemetry, alternate error reporting, Google update mechanisms, built-in Google APIs, and other remote-service dependencies commonly embedded in stock builds. ... -
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ticket
Fast, powerful, git-native ticket tracking in a single bash script
ticket is a lightweight, git-native ticket management tool implemented as a single Bash script that brings powerful issue tracking directly into your Git workflows without requiring a database or complex setup. It stores each ticket as a Markdown file with YAML frontmatter, making them human-readable and easy to version control alongside your code, while also allowing IDEs to jump straight to ticket definitions. The CLI provides common subcommands to create, list, edit, close, and manage dependencies between tickets, enabling clear hierarchical task structures and visual dependency trees. ... -
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Gemini-API
Reverse-engineered Python API for Google Gemini web app
...The project is licensed under AGPL-3.0, emphasizing the “open” nature but also requiring derivative works to remain open. It has a strong community following and active discussions/issue tracking around model support, error handling, and new features. -
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Helium Browser
Private, fast, and honest web browser
Helium is a Chromium-based web browser designed to deliver privacy, speed, and simplicity by removing Google’s proprietary services, telemetry, and bloat. It’s built atop ungoogled-chromium, extending its philosophy with additional privacy features, design refinements, and user experience improvements aimed at transparency and control. Helium blocks ads and trackers by default through an integrated, unbiased uBlock Origin extension prepackaged as a native browser component. Its UI and... -
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Mercury Browser
Privacy-focused web browser fork of Firefox
Mercury Browser is an optimized, privacy-focused web browser that is a fork of Mozilla Firefox. It incorporates compiler optimizations such as AVX, AES, LTO, and PGO to enhance performance and security. With features derived from projects like LibreWolf, Waterfox, and Ghostery, Mercury disables telemetry and debugging elements by default, ensuring a more private browsing experience. It also includes usability patches that bring back features like the classic top bar and supports unsigned... -
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Data Version Control
Git-based data version control for machine learning workflows
...This approach allows teams to manage large files efficiently while maintaining a clear history of changes to data and models. DVC also provides a pipeline system that defines the stages of machine learning workflows, making experiments reproducible and easier to manage. By tracking dependencies between code, data, and parameters, the system ensures that only the necessary stages are re-run when changes occur. DVC also includes experiment tracking capabilities that allow users to compare different training runs. -
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OpenHarness
Open Agent Harness with a built-in personal agent, Ohmo
...It provides a structured environment for orchestrating experiments, managing datasets, and standardizing evaluation processes across different models. The project focuses on reproducibility and scalability, allowing researchers and engineers to run consistent experiments while tracking results effectively. It often includes modular components that can be adapted to different machine learning pipelines, enabling flexibility across use cases such as recommendation systems, natural language processing, or multimodal tasks. OpenHarness is designed to integrate with modern ML ecosystems, supporting distributed training and efficient resource utilization. ...
