Search Results for "time tracking python" - Page 54

Showing 3550 open source projects for "time tracking python"

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  • 1
    Puzzle Patch

    Puzzle Patch

    Entertaining and interactive game of solving 50+ puzzle pieces

    Welcome to Puzzle Patch, the ultimate desktop puzzle-solving experience that promises fun and engaging entertainment for players of all ages including kids! Kids will love to play this game as it helps in their cognitive development, spatial awareness as they arrange these scrambled puzzle pieces into 1 perfect picture. Visual recognition will be improved as kids try to identify shapes, patterns. Puzzle Patch has a wide array of features and functionalities designed to immerse you in a...
    Downloads: 0 This Week
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  • 2
    autollm

    autollm

    Ship RAG based LLM web apps in seconds

    ...AutoLLM supports a broad range of language models and vector databases, which makes it useful for teams that want flexibility without rewriting their application architecture every time they switch providers. The framework also includes built-in readers for multiple content sources such as PDFs, DOCX files, notebooks, websites, and other document types, which helps shorten the time between raw data and a working knowledge application.
    Downloads: 1 This Week
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  • 3
    Arctic TimeSeries and Tick store

    Arctic TimeSeries and Tick store

    High performance datastore for time series and tick data

    Arctic is a timeseries/dataframe database that sits atop MongoDB. Arctic supports serialization of a number of datatypes for storage in the mongo document model. Serializes a number of data types eg. Pandas DataFrames, Numpy arrays, Python objects via pickling etc. so you don't have to handle different datatypes manually. Uses LZ4 compression by default on the client side to get big savings on network / disk. Allows you to version different stages of an object and snapshot the state (In some...
    Downloads: 0 This Week
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  • 4
    TensorFlow Hub

    TensorFlow Hub

    A library for transfer learning by reusing parts of TensorFlow models

    TensorFlow Hub is a repository that provides a library and platform for publishing, discovering, and reusing pre-trained machine learning models built with TensorFlow. The project enables developers to integrate high-quality models into their applications without needing to train them from scratch. Through TensorFlow Hub, researchers and practitioners can share reusable model components such as image classifiers, text embedding models, and object detection networks. These models can be...
    Downloads: 0 This Week
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  • 5
    BackgroundMattingV2

    BackgroundMattingV2

    Real-Time High-Resolution Background Matting

    Official repository for the paper Real-Time High-Resolution Background Matting. Our model requires capturing an additional background image and produces state-of-the-art matting results at 4K 30fps and HD 60fps on an Nvidia RTX 2080 TI GPU.
    Downloads: 3 This Week
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  • 6
    Proxy_Pool

    Proxy_Pool

    Python crawler proxy IP pool (proxy pool)

    The main function of the crawler agent IP pool project is to regularly collect free agents published on the Internet for verification and storage, and to regularly verify and store agents to ensure the availability of agents, and to provide API and CLI. At the same time, you can also expand the proxy source to increase the quality and quantity of the proxy pool IP.
    Downloads: 1 This Week
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  • 7
    Django LMS

    Django LMS

    A learning management system using django web framework

    django-lms is an open-source Learning Management System (LMS) built with Django and designed for ease of use and extensibility. It allows administrators to manage courses, lessons, quizzes, and users in an educational environment. The project includes a clean UI and backend tools to help educators create and track learning content.
    Downloads: 0 This Week
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  • 8
    Filt8- v3.6 alerts for WSJT-X FT8

    Filt8- v3.6 alerts for WSJT-X FT8

    Alert and filter QSO for WSJT-X FT8 FT4

    THIS VERSION HAS A TABLE VIEW FOR SYSTEMS THAT DO NOT SUPPORT LARGE GRAPHIC DISPLAYS SUCH AS LOW-END LAPTOPS. CHECK OUT ft8mapper FOR BETTER GRAPHICS AND GRID TRACKING. Filt8 - v3.6 release - Requires Python 3.x (3.10 or higher on Mac) Scrollable maps for small screens State data as of Feb 25, 2024. Map saves settings. Map features: filter by band, click to Lookup. Offline Maps to show station grid locations as you decode them in real-time (Check out js8mapper project on https://sourceforge.net/projects/js8map/ for this same option for JS8Call) Map feature allows filtering by band, listings by callsigns or grids, and callsign lookups via QRZ or HamCall (this requires Internet). ...
    Downloads: 9 This Week
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  • 9
    lm-sensors

    lm-sensors

    lm-sensors repository

    lm-sensors is the canonical Linux project for reading motherboard and peripheral hardware sensors—temperatures, fan speeds, voltages—and exposing them to userspace. It ships a probing utility (sensors-detect) that identifies I²C/SMBus chips and kernel drivers, then a runtime tool (sensors) that prints human-readable readings for quick diagnostics. The companion library, libsensors, gives applications a stable API to query sensor values, enabling desktop applets, monitoring daemons, and...
    Downloads: 6 This Week
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  • 10
    FlowViewer

    FlowViewer

    FlowViewer is a web-based netflow data analysis tool.

    ...FlowViewer has been developed for NASA’s Earth Sciences Data and Information System (ESDIS) networks, and credit goes to NASA for their usual outstanding support of innovation. The FlowViewer tools provide additional graphing and tracking features by utilizing open source software including Thomas Boutrell’s gd, Lincoln Stein's GD, Martien Verbruggen's GD::Graph, and Tobias Oetiker’s RRDtool. FlowViewer v4.6 fixes non-UTC local time environments for FlowViewer and FlowGrapher, and $no_devices_or_exporters FlowMonitor_Collector problem. **Note: SiLK must be v3.8.0 or later. ...
    Downloads: 22 This Week
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  • 11
    Transformers4Rec

    Transformers4Rec

    Transformers4Rec is a flexible and efficient library

    Transformers4Rec is an advanced recommendation system library that leverages Transformer models for sequential and session-based recommendations. The library works as a bridge between natural language processing (NLP) and recommender systems (RecSys) by integrating with one of the most popular NLP frameworks, Hugging Face Transformers (HF). Transformers4Rec makes state-of-the-art transformer architectures available for RecSys researchers and industry practitioners. Traditional recommendation...
    Downloads: 0 This Week
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  • 12
    AI-Aimbot

    AI-Aimbot

    CS2, Valorant, Fortnite, APEX, every game

    AI-Aimbot is a computer vision project that demonstrates how artificial intelligence can be used to automatically identify and target opponents in video games. The system uses an object detection model based on the YOLOv5 architecture to detect human-shaped characters in gameplay screenshots or video frames. Once a target is identified, the program automatically adjusts the player’s aim toward the detected target, effectively automating the aiming process in first-person shooter games. The...
    Downloads: 7,144 This Week
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  • 13
    AIMi AI Aimbot

    AIMi AI Aimbot

    AIMi its an AI aimbot, it work by real-time object detection

    AIMi is a Python-based AI aim-assist experiment that uses real-time object detection to identify human-like shapes in game footage. It is built around neural network detection and OpenCV processing rather than direct modification of game files. The project presents itself as a beta implementation, with current behavior depending heavily on processor performance, model accuracy, and screen conditions.
    Downloads: 920 This Week
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  • 14

    Timekeeping Platform

    Timekeeping platform designed to facilitate efficient time management.

    A comprehensive timekeeping platform designed to facilitate efficient time management and tracking. This platform allows users to log their work hours, take pauses, and review their time logs with ease.
    Downloads: 0 This Week
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  • 15
    Gait Tracking With x-IMU

    Gait Tracking With x-IMU

    Foot tracking algorithm demonstrated in Seb Madgwick's 3D Tracking

    This repository provides the source code for a foot-tracking algorithm using an inertial measurement unit (IMU) attached to the foot, as demonstrated in Seb Madgwick’s “3D Tracking with IMU” video (March 2011). The method performs dead reckoning to integrate foot motion and corrects for drift at each foot strike (when the foot touches the ground) to reset error accumulation. The algorithm was part of gait analysis research, estimating foot trajectories in 3D over time.
    Downloads: 1 This Week
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  • 16
    Obsei

    Obsei

    Obsei is a low code AI powered automation tool

    Obsei is an automated no-code/low-code AI-powered text observation and analysis framework, designed for extracting insights from unstructured text data such as social media, reviews, and logs.
    Downloads: 0 This Week
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  • 17
    CoTracker

    CoTracker

    CoTracker is a model for tracking any point (pixel) on a video

    ...Its transformer-style architecture aggregates information both along time and across points, allowing it to recover tracks even after brief disappearances. The repository ships with inference scripts, pretrained weights, and simple interfaces to seed points, run tracking, and export trajectories for downstream tasks. Typical uses include correspondence building, motion analysis, dynamic SLAM priors, video editing masks, and evaluation of geometric consistency in real scenes.
    Downloads: 1 This Week
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  • 18
    SuperAGI

    SuperAGI

    A dev-first open source autonomous AI agent framework

    An open-source autonomous AI framework to enable you to develop and deploy useful autonomous agents quickly & reliably. Join a community of developers constantly contributing to make SuperAGI better. Access your agents through a graphical user interface. Interact with agents by giving them input, permissions, etc. Agents typically learn and improve their performance over time with feedback loops. Run multiple agents simultaneously to improve efficiency and productivity. Connect to multiple...
    Downloads: 0 This Week
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  • 19
    Sonnet

    Sonnet

    TensorFlow-based neural network library

    Sonnet is a neural network library built on top of TensorFlow designed to provide simple, composable abstractions for machine learning research. Sonnet can be used to build neural networks for various purposes, including different types of learning. Sonnet’s programming model revolves around a single concept: modules. These modules can hold references to parameters, other modules and methods that apply some function on the user input. There are a number of predefined modules that already...
    Downloads: 1 This Week
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  • 20
    SSD in PyTorch 1.0

    SSD in PyTorch 1.0

    High quality, fast, modular reference implementation of SSD in PyTorch

    This repository implements SSD (Single Shot MultiBox Detector). The implementation is heavily influenced by the projects ssd.pytorch, pytorch-ssd and maskrcnn-benchmark. This repository aims to be the code base for research based on SSD. Multi-GPU training and inference: We use DistributedDataParallel, you can train or test with arbitrary GPU(s), the training schema will change accordingly. Add your own modules without pain. We abstract backbone, Detector, BoxHead, BoxPredictor, etc. You can...
    Downloads: 0 This Week
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  • 21
    dbt-re-data

    dbt-re-data

    re_data - fix data issues before your users & CEO would discover them

    re_data is an open-source data reliability framework for the modern data stack. Currently, re_data focuses on observing the dbt project (together with underlaying data warehouse - Postgres, BigQuery, Snowflake, Redshift). Data transformations in re_data are implemented and exposed as models & macros in this dbt package. Gather all relevant outputs about your data in one place using our cloud. Invite your team and debug it easily from there. Go back in time, and see your past metadata. Set up...
    Downloads: 10 This Week
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  • 22
    Glumpy

    Glumpy

    Python+Numpy+OpenGL, scalable and beautiful scientific visualization

    Glumpy is a Python library that simplifies the development of high-performance, interactive OpenGL visualizations. It abstracts complex OpenGL tasks into Pythonic constructs, making it easier for scientists, artists, and developers to harness the power of the GPU for real-time rendering and data visualization. Glumpy is particularly well-suited for rapid prototyping of graphical applications, and its integration with NumPy and shader programming makes it a powerful tool for both research and creative exploration.
    Downloads: 1 This Week
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  • 23
    CLIP-as-service

    CLIP-as-service

    Embed images and sentences into fixed-length vectors

    CLIP-as-service is a low-latency high-scalability service for embedding images and text. It can be easily integrated as a microservice into neural search solutions. Serve CLIP models with TensorRT, ONNX runtime and PyTorch w/o JIT with 800QPS[*]. Non-blocking duplex streaming on requests and responses, designed for large data and long-running tasks. Horizontally scale up and down multiple CLIP models on single GPU, with automatic load balancing. Easy-to-use. No learning curve, minimalist...
    Downloads: 4 This Week
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  • 24

    Discord Rich Presence

    Python script offers you a fully customizable status on Discord

    Sinewave's CustomRP is a Python script designed to offer you the flexibility to showcase a fully customizable status (rich presence) on Discord. By leveraging the pypresence library, users can dynamically update their Discord presence with a variety of details, including project status, current activity, and more. This README provides all necessary details to get started, customize, and use the script effectively.
    Downloads: 5 This Week
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  • 25
    EvaDB

    EvaDB

    Database system for building simpler and faster AI-powered application

    ...Running these deep learning models on large document or video datasets is costly and time-consuming. For example, the state-of-the-art object detection model takes multiple GPU years to process just a week’s videos from a single traffic monitoring camera. Besides the money spent on hardware, these models also increase the time that you spend waiting for the model inference to finish.
    Downloads: 0 This Week
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