Python wrapper to Philipp Krähenbühl's dense (fully connected) CRFs with gaussian edge potentials.

Parallel t-SNE implementation with Python and Torch wrappers.

为 酷Q 提供通过 HTTP 或 WebSocket 接收事件和调用 API 的能力

Imaging Biomarkers and Computer-Aided Diagnosis Laboratory

The Example-based Sensor Predictions (ESP) system applies machine learning to real-time sensor data.

PSANet: Point-wise Spatial Attention Network for Scene Parsing, ECCV2018.

Cancer Imaging Phenomics Toolkit (CaPTk) is a software platform to perform image analysis and predictive modeling tasks. Documentation: https://cbica.github.io/CaPTk

matlab and python wrap of crf and dense crf, both 2d and 3d are supported

geodesic distance transform of 2d/3d images

Selective Search reimplementation in PyTorch that allows to extract not only the bounding boxes, but also the region masks

recognition face