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acwe

Python implementation of paper Active Contour Without Edges

algorithms

Minimal examples of data structures and algorithms in Python

andrewngmachinelearning

augmented-lagrangian-matlab-octave

Augmented Lagrangian method for equality, inequality, and bound constrained optimization (MATLAB, octave)

augmentedlagrangian

basicimagesegmentation

Some basic image segmentation algorithms, include mean-shift, graph-based, SLIC, SEEDS, GrabCut, OneCut, et al.

bilateral_solver

Python code for the fast bilateral solver

bilateralvideosegmentation

Implementation of Bilateral Space Video Segmentation [Maerki et al CVPR 2016]

binary-graphcut

Segment an Image using GraphCut

c-primer-plus-exercises

Solutions to exercises from the book C Primer Plus.

c_programming

caffe

Computational Algorithm Framework for Fluid Equations (CAFFE) is a collection of algorithms for solving various physics problems using any number of different domains, solvers and spatial discretization schemes. Available solvers include both explicit and implicit time marching schemes, and domains include finite-volume meshes, finite-difference meses, finite-element meshes and particle domains.

casadi

CasADi is a symbolic framework for numeric optimization implementing automatic differentiation in forward and reverse modes on sparse matrix-valued computational graphs. It supports self-contained C-code generation and interfaces state-of-the-art codes such as SUNDIALS, IPOPT etc. It can be used from C++, Python or Matlab/Octave.

ceressamples

Sample codes for Ceres optimizer developed by Google

cfdpython

A sequence of Jupyter notebooks featuring the "12 Steps to Navier-Stokes" http://lorenabarba.com/

cody

Continuum Dynamics Evaluation and Test Suite

cpm

Coarse-to-fine PatchMatch for dense correspondence

cprograming_19spring

2018-2019学年下学期C语言程序设计

crossscalepatchmatch

Cross-Scale Cost Aggregation for Stereo Matching (CVPR 2014 + TCSVT 2015)

crossscalestereo

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

cs348ahw4

ctvm

Implementation of total variation minimization (TVM) in C++. Based on the TVAL3 algorithm of Chengbo Li, "An efficient augmented Lagrangian method with applications to total variation minimization," 2009.

cuda-tutorial

some CUDA programming example

data_structures_and_algorithms_in_python

deepgrabcut-pytorch

Deep GrabCut in PyTorch

deephpms

Deep Hidden Physics Models: Deep Learning of Nonlinear Partial Differential Equations

deeplearningbook-chinese

Deep Learning Book Chinese Translation

depthawarecnn

Depth-aware CNN for RGB-D Segmentation

exploratory_computing_with_python

fast_bilateral_space_stereo

A naïve implementation of the Fast Bilateral-Space Stereo method from the Fast Bilateral-Space Stereo for Synthetic Defocus paper by Jon Barron.