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mkl-dnn

Deep neural networks based Intel (R) platform architecture.

mkl-dnn-1

Intel(R) Math Kernel Library for Deep Neural Networks (Intel(R) MKL-DNN)

mv-lm-icp

Multiview Levenberg-Marquardt ICP

nana

a modern C++ GUI library

ncorr_2d_matlab

2D Digital Image Correlation Matlab Software

nndl.github.io

《神经网络与深度学习》 Neural Network and Deep Learning

npt-pose

oiio

Reading, writing, and processing images in a wide variety of file formats, using a format-agnostic API, aimed at VFX applications.

oneapi-samples

Samples for Intel oneAPI toolkits

oneflow

OneFlow is a performance-centered and open-source deep learning framework.

opencv

Open Source Computer Vision Library

opencv_contrib

Repository for OpenCV's extra modules

openmvg

open Multiple View Geometry library. Basis for 3D computer vision and Structure from Motion.

paper2gui

Convert AI papers to GUI，Make it easy and convenient for everyone to use artificial intelligence technology。让每个人都简单方便的使用前沿人工智能技术

parallel-hashmap

A header-only, very fast and memory-friendly hash map.

pcl

Point Cloud Library (PCL)

pinns

Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations

pl-slam

This code contains an algorithm to compute stereo visual SLAM by using both point and line segment features.

protobuf

Protocol Buffers - Google's data interchange format

python

Config files for my GitHub profile.

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

qt-ribbon-widget

A Ribbon widget for Qt

quant-report

quazip

Qt/C++ wrapper over minizip

research-method

论文写作与资料分享

seuthesis

LaTeX Thesis Template for Southeast University

slam

learning SLAM,curse,paper and others

sparsepp

A fast, memory efficient hash map for C++

sttr

Revisiting Stereo Depth Estimation From a Sequence-to-Sequence Perspective with Transformers. (ICCV 2021 Oral)

surface-defect-detection

📈 Constantly summarizing open source dataset and critical papers in the field of surface defect research which are of great importance.