Popular GitHub Repositories for Missing Markers

A Python toolkit/library for reality-centric machine/deep learning and data mining on partially-observed time series, including SOTA neural network models for scientific analysis tasks of imputation/classification/clustering/forecasting/anomaly detection/cleaning on incomplete industrial (irregularly-sampled) multivariate TS with NaN missing values

A professional list of Papers, Tutorials, and Surveys on AI for Time Series in top AI conferences and journals.

The project focuses on Tracking missing people. We are using Image processing and Machine learning along with Postgres Database.

The official PyTorch implementation of the paper "SAITS: Self-Attention-based Imputation for Time Series". A fast and state-of-the-art (SOTA) deep-learning neural network model for efficient time-series imputation (impute multivariate incomplete time series containing NaN missing data/values with machine learning). https://arxiv.org/abs/2202.08516

Library for implementing reservoir computing models (echo state networks) for multivariate time series classification and clustering.

Want to remove something(someone) from a photo as it never was there? This is .NET implementation of content-aware fill. It smartly fills in unwanted or missing areas of photographs.

Awesome Deep Learning for Time-Series Imputation, including an unmissable paper list about applying neural networks to impute incomplete time series containing NaN missing values/data

Resume-AI: Supercharge your job search! This tool analyzes your resume against job descriptions using Google's Gemini AI to boost your ATS score. Get detailed feedback on missing skills, a professional summary, and actionable recommendations to tailor your resume and land that interview.

Precision landing using visual targets

Multimodal Prompting with Missing Modalities for Visual Recognition, CVPR'23

Up to 45x faster ? Auto generate type-safe validation code for structs based on markers.

Python package for missing-data imputation with deep learning

This repository enables single and multi-marker detection and tracking using OpenCV with the Passthrough Camera API for Meta Quest 3/3S. It provides sample scenes that support both ArUco(Single/Multi) and ChArUco(Single) markers for augmented reality applications on Quest devices.

Code for "Interpolation-Prediction Networks for Irregularly Sampled Time Series", ICLR 2019.

Save/Load trigger words for loras from a json and auto fetch them on civitai if they are missing. Optional prompt input to auto append them (togglable). Actual alphabetical order and print trigger words to terminal. Also bypass toggle to disable without aiming the sliders at 0.

Wraps any OpenAI API interface as Responses with MCPs support so it supports Codex. Adding any missing stateful features. Ollama and Vllm compliant.

Welcome to the Awesome Multi-Modal Object Re-Identification Repository! This repository is dedicated to curating and sharing the latest methods, datasets, and resources focused specifically on the domain of multi-modal object re-identification. It brings together cutting-edge research, tools, and papers aimed at advancing the study and application.

A command-line tool for automatically adding missing message translations to ARB files using Google Gemini LLM by LeanCode

【AAAI2024】TOP-ReID: Multi-spectral Object Re-Identification with Token Permutation

A comprehensive review of techniques to address the missing-modality problem for medical images