We write your reusable computer vision tools. 💜
- computer-vision
- image-processing
- python
- yolo
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We write your reusable computer vision tools. 💜
Graph Neural Network Library for PyTorch
The LLM Evaluation Framework
[ECCV 2026 Best Paper Award Candidate] LingBot-Map: Geometric Context Transformer for Streaming 3D Reconstruction
🐍 Geometric Computer Vision Library for Spatial AI
Statsmodels: statistical modeling and econometrics in Python
[CVPR 2024] Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. Foundation Model for Monocular Depth Estimation
Open-source observability for your GenAI or LLM application, based on OpenTelemetry
DUSt3R: Geometric 3D Vision Made Easy
Real-time metrics for nginx server
Train and evaluate embeddings for similarity search with PyTorch. Includes contrastive losses, hard example mining, samplers, and retrieval metrics.
Simple Online Realtime Tracking with a Deep Association Metric
A python parametric CAD scripting framework based on OCCT
Python SDK for AI agent monitoring, LLM cost tracking, benchmarking, and more. Integrates with most LLMs and agent frameworks including CrewAI, Agno, OpenAI Agents SDK, Langchain, Autogen, AG2, and CamelAI
Depth Pro: Sharp Monocular Metric Depth in Less Than a Second.
Most popular metrics used to evaluate object detection algorithms.
Lightning ⚡️ fast forecasting with statistical and econometric models.
Torchreid: Deep learning person re-identification in PyTorch.
High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.
Prometheus-based Kubernetes Resource Recommendations
An advanced, unified platform for code quality, architectural metrics, and Agile analytics. Features Python AST parsing, Java static analysis (code smells), and interactive project health dashboards built with Streamlit.
AI observability platform for production LLM and agent systems.
Manipulation and analysis of geometric objects
: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