Caffe: a fast open framework for deep learning.

A library for efficient similarity search and clustering of dense vectors.

PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）

MACE is a deep learning inference framework optimized for mobile heterogeneous computing platforms.

🔨 🍇 💻 🚀 GraphScope: A One-Stop Large-Scale Graph Computing System from Alibaba | 一站式图计算系统

Deep Learning API and Server in C++14 support for Caffe, PyTorch,TensorRT, Dlib, NCNN, Tensorflow, XGBoost and TSNE

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

Pyramid Scene Parsing Network, CVPR2017.

Annotate quickly images.

A collection of openFrameworks apps for working with machine learning

SGM，立体匹配StereoMatching最经典应用最广泛算法，4000+引用，兼顾效率和效果。完整实现，代码规范，注释清晰，博客教学，欢迎star！

PatchMatchStereo，倾斜窗口经典，效果极佳，OpenMVS&Colmap稠密匹配算法。完整实现，代码规范，注释清晰，博客教学，欢迎star！

Drivers for receiving LiDAR data and more, support Lidar Mid-40, Mid-70, Tele-15, Horizon, Avia.

Code for Dynamic Feature Fusion for Semantic Edge Detection https://arxiv.org/abs/1902.09104

Cross-Scale Cost Aggregation for Stereo Matching (CVPR 2014)

Caffe implementation of FAIR paper "Focal Loss for Dense Object Detection" for SSD.

Salient Object Detection: A Benchmark

Learning to Solve Hard Minimal Problems

Image Segmentation using Texture and Color features in C++

Implementation for <Hierarchical Bilinear Pooling for Fine-Grained Visual Recognition> in ECCV'18.

The open-source code for paper 'Learning to Detect Video Saliency With HEVC Features'

⚠️ OBSOLETE | Slicer Command Line Module. Given some initial points in polydata will construct a contour and evolve it to high mean-curvature areas, returning the interior region indices.

Python/C++ simple tools for running and visualizing t-SNE for low dimensional embeddings