Popular GitHub Repositories for Bay Area

A curated list of action recognition and related area resources

Agent framework for the JVM. Pronounced Em-BAY-bel /ɛmˈbeɪbəl/

You Only Look Once for Panopitic Driving Perception.（MIR2022）

A curated list of Visual Question Answering(VQA)(Image/Video Question Answering),Visual Question Generation ,Visual Dialog ,Visual Commonsense Reasoning and related area.

Awesome graph anomaly detection techniques built based on deep learning frameworks. Collections of commonly used datasets, papers as well as implementations are listed in this github repository. We also invite researchers interested in anomaly detection, graph representation learning, and graph anomaly detection to join this project as contributors and boost further research in this area.

使用OpenCV部署全景驾驶感知网络YOLOP，可同时处理交通目标检测、可驾驶区域分割、车道线检测，三项视觉感知任务，包含C++和Python两种版本的程序实现。本套程序只依赖opencv库就可以运行， 从而彻底摆脱对任何深度学习框架的依赖。

A curated list of datasets, publically available for machine learning research in the area of manufacturing

Skeletonize densely labeled 3D image segmentations with TEASAR. (Medial Axis Transform)

Deep learning based object tracking with line crossing and area intrusion detection

A curated list of visual relationship detection and related area resources

A curated list of Gеnerative AI companies, sorted by focus area and total fundraised amount.

Turn your journal into music, winner in the Magenta/Gray Area ML Music Hackathon

A Machine Learning Project implemented from scratch which involves web scraping, data engineering, exploratory data analysis and machine learning to predict housing prices in New York Tri-State Area.

分别使用OpenCV、ONNXRuntime部署YOLOPV2目标检测+可驾驶区域分割+车道线分割，一共包含54个onnx模型，依然是包含C++和Python两个版本的程序。仅仅只依赖OpenCV就能运行，彻底摆脱对任何深度学习框架的依赖。

A curated list of multiagent learning and related area resources.

ML algorithm for real-time classification

Development of Deep Learning algorithms for Drivable Area Segmentation, Lane Segmentation, Traffic Sign Detection and Classification with data collected and labeled by Ford Otosan.

myGym enables fast prototyping of RL in the area of robotic manipulation and navigation.You can train different robots, in several environments on various tasks. There is automatic evaluation and benchmark tool. From version 2.1 there is support for multi-step tasks, multi-reward training and multi-network architectures.

[CoRL 2023] Context-Aware Deep Reinforcement Learning for Autonomous Robotic Navigation in Unknown Area - - Public code and model

Awesome-Representation-Learning-CV-PaperAndCodes, lasted development in the representation learning area.