Stars
Hydra is a framework for elegantly configuring complex applications
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
A Quadruped Robot Easily Constructed through E-Commerce with Sheet Metal Welding and Machining
CyberAgent AI Lab研修：ビジョン系データ品質の保ち方
A collection of the the best ML and AI news every week (research, news, resources)
Lucid Vision Camera ROS2 Driver with Arena SDK
Python wrapper for the Universal Robots ROS driver with Robotiq gripper support.
🐬 Re-implementation of PaDiM and code for the article "Weakly Supervised Detection of Marine Animals in High Resolution Aerial Images"
Paper list and datasets for industrial image anomaly/defect detection (updating). 工业异常/瑕疵检测论文及数据集检索库(持续更新)。
An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.
Compare neural networks by their feature similarity
Experimental solutions to selected exercises from the book [Advances in Financial Machine Learning by Marcos Lopez De Prado]
An open source reinforcement learning framework for training, evaluating, and deploying robust trading agents.
Semi-Orthogonal Embedding for Efficient Unsupervised Anomaly Segmentation
object detection API powered by DETR and FastAPI
Anomaly detection method that incorporates multi-scale features to sparse coding
Repolinter, The Open Source Repository Linter
An algorithm that generalizes the paradigm of self-play reinforcement learning and search to imperfect-information games.
Comparison of IQA models in Perceptual Optimization
PyTorch implementation of "Modeling the Distribution of Normal Data in Pre-Trained Deep Features for Anomaly Detection"
PyTorch implementation of "Sub-Image Anomaly Detection with Deep Pyramid Correspondences"
This is an unofficial implementation of the paper “PaDiM: a Patch Distribution Modeling Framework for Anomaly Detection and Localization”.
ansible for Mac Homebrew、application install & homedirectory.
This is an unofficial implementation of Reconstruction by inpainting for visual anomaly detection (RIAD).
A treasure chest for visual classification and recognition powered by PaddlePaddle