Popular GitHub Repositories for Cost Tracking

Ultralytics YOLO11 ?

CVPR 2025 论文和开源项目合集

Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.

SkyPilot: Run AI and batch jobs on any infra (Kubernetes or 15+ clouds). Get unified execution, cost savings, and high GPU availability via a simple interface.

Real-Time and Accurate Full-Body Multi-Person Pose Estimation&Tracking System

BoxMOT: pluggable SOTA tracking modules for segmentation, object detection and pose estimation models

Go package for computer vision using OpenCV 4 and beyond. Includes support for DNN, CUDA, OpenCV Contrib, and OpenVINO.

[ECCV 2022] ByteTrack: Multi-Object Tracking by Associating Every Detection Box

Official implementation of DeepLabCut: Markerless pose estimation of user-defined features with deep learning for all animals incl. humans

Pretrained Pytorch face detection (MTCNN) and facial recognition (InceptionResnet) models

ZenML ?: The bridge between ML and Ops. https://zenml.io.

Python SDK for AI agent monitoring, LLM cost tracking, benchmarking, and more. Integrates with most LLMs and agent frameworks including OpenAI Agents SDK, CrewAI, Langchain, Autogen, AG2, and CamelAI

papers about Face Detection; Face Alignment; Face Recognition && Face Identification && Face Verification && Face Representation; Face Reconstruction; Face Tracking; Face Super-Resolution && Face Deblurring; Face Generation && Face Synthesis; Face Transfer; Face Anti-Spoofing; Face Retrieval;

SenseTime Research platform for single object tracking, implementing algorithms like SiamRPN and SiamMask.

? Open source LLM observability platform. One line of code to monitor, evaluate, and experiment. YC W23 ?

⚡️ Python client for the unofficial ChatGPT API with auto token regeneration, conversation tracking, proxy support and more.

[CVPR 2023 Best Paper Award] Planning-oriented Autonomous Driving

[CVPR19/TPAMI23] SiamMask: A Framework for Fast Online Object Tracking and Segmentation

This is a Phi Family of SLMs book for getting started with Phi Models. Phi a family of open sourced AI models developed by Microsoft. Phi models are the most capable and cost-effective small language models (SLMs) available, outperforming models of the same size and next size up across a variety of language, reasoning, coding, and math benchmarks

Real-time Claude Code usage monitor with predictions and warnings