Reverse Dependencies of filterpy

The following projects have a declared dependency on filterpy:

• anyleaf — Driver for the Anyleaf pH sensor
• axtreme — A development library for the RaPiD project
• basty — basty (Automated Behavioral Analysis of Asleep Fruit Fly) is a software designed to analyze behavioral correlates of sleep in Drosophila Melanogaster. The software consists of an end-to-end & multi-stage pipeline and a couple of useful scripts for behavioral analysis. basty is specifically designed for unique challenges related to the characteristics of sleep, so can deal with hard-to-detect behaviors exhibited rarely during long sleep cycles.
• battlib — A library for battery SOC calculation
• bbstrader — Simplified Investment & Trading Toolkit
• boxmot — BoxMOT: pluggable SOTA tracking modules for segmentation, object detection and pose estimation models
• bu-cvkit — A toolkit to accelerate computer vision research
• collision-warning-service — Early collision warning Network Application for Transportation use case
• cpas-toolbox — Toolbox to evaluate categorical pose and shape estimation
• deeplabcut — Markerless pose-estimation of user-defined features with deep learning
• dg-face-tracking — DeGirum Face Tracking Application Package
• dji-drone-data — A library to parse SRT data and apply Kalman filter to GPS coordinates.
• ecgkit — ECG Toolkits
• edgeiq — Build computer vision applications for the edge quickly and easily.
• facexlib — Basic face library
• fcw-core — Early collision warning Network Application for Transportation use case - core part
• fcw-core-utils — Early collision warning Network Application for Transportation use case - core utils part
• fdfat — Fast 6DoF Face Alignment and Tracking
• gaea-paddledet — Object detection and instance segmentation toolkit based on PaddlePaddle
• HITrack — 3D scene on a monocular video
• ImageUpscaler — A package for upscaling images using neural networks.
• incx — no summary
• jykj — no summary
• kalman-estimation — Kalman filter based coefficient estimation toolbox.
• mlcvzoo-tracker — MLCVZoo Tracker Package
• mocap-cpp-operations — no summary
• mocap-mdc-tracking — no summary
• moosir-feature — Add a short description here!
• motpy — Library for track-by-detection multi object tracking implemented in python
• NANO-filter — Nonlinear Bayesian Filtering with Natural Gradient Gaussian Approximation
• ndu-gate-camera — NDU Gate Camera Service
• neuroflex — An advanced neural network framework with interpretability, generalization, robustness, and fairness features
• NinjaTools — Bunch of useful tools
• norfair — Lightweight Python library for adding real-time multi-object tracking to any detector.
• pendsim — A pendulum simulator
• person-counter — Person Counter using torch
• Pose2Sim — Perform a markerless kinematic analysis from multiple calibrated views as a unified workflow from an OpenPose input to an OpenSim result.
• prog-algs — The NASA Prognostics Algorithm Package is a framework for model-based prognostics (computation of remaining useful life) of engineering systems. It includes algorithms for state estimation and prediction, including uncertainty propagation. The algorithms use prognostic models (see prog_models) to perform estimation and prediction. The package enables rapid development of prognostics solutions for given models of components and systems. Algorithms can be swapped for comparative studies and evaluations
• progpy — The 2024 NASA Software of the Year, the NASA Prognostic Package (ProgPy) is a python prognostics framework focused on building, using, and evaluating models and algorithms for prognostics (computation of remaining useful life) and health management of engineering systems, and provides a set of prognostics models for select components and prognostics algorithms developed within this framework, including uncertainty propagation.
• py-neuromodulation — Real-time analysis of intracranial neurophysiology recordings.
• pyemits — python package for easy manipulation on time series data for quick insight
• pyppbox — Toolbox for people detecting, tracking, and re-identifying.
• qtune — Quantum dot auto tune framework
• rdtools — Functions for reproducible timeseries analysis of photovoltaic systems.
• rotorpy — A multirotor simulator with aerodynamics for education and research.
• simple-online-realtime-tracking — A simple online and realtime tracking algorithm for 2D multiple object tracking in video sequences
• solovision — State-of-the-art Real Time Object Detection & Tracking System integrated with ReID architecture
• sort-tracker-py — SORT A Simple, Online and Realtime Tracker
• sportslabkit — A Python package for sports analytics.
• statespace — no summary
• techainer-ocsort — "Horus's general object tracker"
• track-transportation — a small python project
• trajectorypy — trajectorypy is a library to track a phase state object that leaves a trajectory
• tsa-lth — Package for time series analysis course on LTH
• ubc-solar-physics — UBC Solar's Simulation Environment
• visiongraph — Visiongraph is a high level computer vision framework.
• vsensebox — VSenseBox - Python toolbox for visual sensing.
• xrmocap — no summary