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.
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+10
STARS · LAST 30 DAYS
1
PER DAY
#2,124
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +0 | +10 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +0 | +3 | +10 |
Awesome-Multi-Modal-Object-Re-Identification gained 10 stars in the last 30 days, about 1 a day, and now has 125. It is about 3 years old and has averaged roughly 42 stars a year. It ranks #2,124 among Python repositories and #16,551 across all languages on GitHubRepo.
Trending Record
19
DAYS ON TRENDING
#7776
BEST RANK
Sep 30, 2026
FIRST APPEARANCE
Active
STATUS TODAY
Awesome-Multi-Modal-Object-Re-Identification has maintained a continuous presence across global trending indexes, peaking at #7776. Below is the 30-day activity profile:
💡 Overview
Awesome-Multi-Modal-Object-Re-Identification is an open-source project written in Python: 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.
Engineered for speed, consistency, and developer ease, it solves common hurdles in awesome, code-list, missing-modal-retrieval. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.
⚡ Key Features
Optimized execution pipeline written in Python for predictable speed.
Zero-friction configuration with comprehensive sensible defaults out of the box.
Cross-platform runtime support across Linux, macOS, and Windows environments.
Strong typing and modular architecture designed for easy extension and maintainability.
Standardized CLI and API interfaces for smooth integration into CI/CD workflows.
Active community maintenance with regular dependency updates and security patches.
📥 Installation
$ pip install Awesome-Multi-Modal-Object-Re-Identification⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Python >= 3.9, pip, virtualenv
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
Awesome-Multi-Modal-Object-Re-Identification coordinates its core functionality through a modular Python pipeline. It parses configuration parameters, validates inputs, and resolves dependencies asynchronously. By minimizing runtime overhead and keeping allocations localized, it delivers predictable performance in both local development environments and automated production workloads.
🎯 Production Use Cases
Production System Integration
Embed Awesome-Multi-Modal-Object-Re-Identification into Python backend services to handle core application logic.
CI/CD Automated Pipelines
Run automated validation, builds, and integration suites during deployments.
Developer Tooling & Workflows
Accelerate developer onboarding with pre-configured project utilities.
Open Source Extension
Fork and customize internal modules under the repository's open MIT license.
🚀 Getting Started
Install Awesome-Multi-Modal-Object-Re-Identification using your package manager: `pip install Awesome-Multi-Modal-Object-Re-Identification`
Initialize your project workspace or configuration file for Awesome-Multi-Modal-Object-Re-Identification.
Import Awesome-Multi-Modal-Object-Re-Identification into your codebase or invoke it directly from your terminal.
Execute your test suite or run `Awesome-Multi-Modal-Object-Re-Identification --help` to verify successful setup.
👍 Strengths
⚠️ Considerations
⇄ Alternatives & Direct Competitors
👥 Who Should Use This
Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads.
🏆 Nearby in the Rankings
924973292/Awesome-Multi-Modal-Object-Re-Identification is currently ranked #16,551 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #16,488 | adelmonte/victoria-launcher | Kotlin | ★ 126 | Compare ↗ |
| #16,488 | twinksoftware/Gearslip | Kotlin | ★ 126 | Compare ↗ |
| #16,488 | yoli-mi/good-learning-skill | Python | ★ 126 | Compare ↗ |
| #16,488 | chadMueller/Nostalgex | Swift | ★ 126 | Compare ↗ |
| #16,488 | Zihan-Su/Self_Gradient_Forcing_Plus | Python | ★ 126 | Compare ↗ |
| #16,551 | 924973292/Awesome-Multi-Modal-Object-Re-Identification This Project | Python | ★ 125 | |
| #16,551 | tog/tog | Ruby | ★ 125 | Compare ↗ |
| #16,551 | dokterbob/django-agenda | Python | ★ 125 | Compare ↗ |
| #16,551 | ciren/cilib | Scala | ★ 125 | Compare ↗ |
| #16,551 | tapajos/highrise | Ruby | ★ 125 | Compare ↗ |
| #16,551 | garethr/django-project-templates | Python | ★ 125 | Compare ↗ |
Frequently Asked Questions
What does Awesome-Multi-Modal-Object-Re-Identification do? +
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.
What language is Awesome-Multi-Modal-Object-Re-Identification written in? +
The primary language is Python. Topics include: awesome, code-list, missing-modal-retrieval, multi-modal-learning, multi-modal-object-re-identification.
Is Awesome-Multi-Modal-Object-Re-Identification actively maintained? +
Yes, the last recorded push was on Oct 6, 2026 with 0 open issues being tracked.
How many stars does Awesome-Multi-Modal-Object-Re-Identification have? +
Awesome-Multi-Modal-Object-Re-Identification has 125 stars and 5 forks on GitHub.
How does Awesome-Multi-Modal-Object-Re-Identification rank among GitHub repositories? +
With 125 stars, 924973292/Awesome-Multi-Modal-Object-Re-Identification is ranked #16,551 globally across all repositories tracked on GitHubRepo and #2,124 among Python projects.
What license is Awesome-Multi-Modal-Object-Re-Identification distributed under? +
The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.
