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:bouncing_ball_person: Pytorch ReID: A tiny, friendly, strong pytorch implement of person re-id / vehicle re-id baseline. Tutorial 👉https://github.com/layumi/Person_reID_baseline_pytorch/tree/master/tutorial
Python package for the evaluation of odometry and SLAM
Long-term memory runtime for AI agents — plain Markdown as the source of truth, local ranked retrieval, and an independent sleep-time Manage layer. Claude Code and Codex share one store. No API key.
TranslatedChinese Language Understanding Evaluation Benchmark: datasets, baselines, pre-trained models, corpus and leaderboard
Visual localization made easy with hloc
Transformers for Information Retrieval, Text Classification, NER, QA, Language Modelling, Language Generation, T5, Multi-Modal, and Conversational AI
AdalFlow: The library to build & auto-optimize LLM applications.
Harness LLMs with Multi-Agent Programming
A series of large language models developed by Baichuan Intelligent Technology
Synapsa Commons: free, hands-on AI courses that run anywhere (Colab, Kaggle, Binder, Codespaces, Jupyter). EU AI Act conformity evidence, model validation, predictive maintenance, document extraction, retrieval and RAG, AI agents and MCP, a simulated humanoid. Every lesson autograded. From the team building Synapsa.
SOTA Re-identification Methods and Toolbox
Trackers gives you clean, modular re-implementations of leading multi-object tracking algorithms released under the permissive Apache 2.0 license. You combine them with any detection model you already use.
Domain-fronted HTTP/SOCKS5 proxy tunneling traffic through Google Apps Script with MITM TLS interception, HTTP/1-2 multiplexing, and DPI evasion.
Easily use and train state of the art late-interaction retrieval methods (ColBERT) in any RAG pipeline. Designed for modularity and ease-of-use, backed by research.
Code, Build and Evaluate agents - excellent Model and Skills/MCP/ACP/A2A Support
[ICML'26] SimpleMem: Efficient Lifelong Memory for LLM Agents — Text & Multimodal
A Comprehensive Benchmark to Evaluate LLMs as Agents (ICLR'24)
Open-source multimodal retrieval engine (Morphik Core)
A streamlined and customizable framework for efficient large model (LLM, VLM, AIGC) evaluation and performance benchmarking.
Evaluation and Tracking for LLM Experiments and AI Agents
⚡FlashRAG: A Python Toolkit for Efficient RAG Research (WWW2025 Resource)
[NeurIPS 2026] DataFlex: A Unified Benchmark and Evaluation Platform for Data-Centric Training of Large Language Models
[KDD'2026] "VideoRAG: Chat with Your Videos"
Open-source inference server and production cluster for all the models your agent needs.