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collaborativefiltering

Implementation of Collabrative Filtering way of recommendation engine

colornet

Neural Network to colorize grayscale images

compute

A C++ GPU Computing Library for OpenCL

computelibrary

The ARM Computer Vision and Machine Learning library is a set of functions optimised for both ARM CPUs and GPUs using SIMD technologies.

computer_vision_algorithm

computer vision algorithm

concurrentqueue

A fast multi-producer, multi-consumer lock-free concurrent queue for C++11

conda

OS-agnostic, system-level binary package manager and ecosystem

conv_arithmetic

A technical report on convolution arithmetic in the context of deep learning

convlstm

Spatio-temporal video autoencoder with convolutional LSTMs

convnetjs

Deep Learning in Javascript. Train Convolutional Neural Networks (or ordinary ones) in your browser.

convolutional-pose-machines-release

Code repository for Convolutional Pose Machines, CVPR'16

coreml-in-arkit

Simple project to detect objects and display 3D labels above them in AR. This serves as a basic template for an ARKit project to use CoreML.

cppnumericalsolvers

L-BFGS-B for TensorFlow or pure C++11 and other optimization methods

cppprojects

Learn how to program using Cpp

cpr

Cascade pose regression

cpunet

YOLO running on CPU with optimization

cracking-the-coding-interview

Solutions for the book: Cracking the coding interview V4. Written in C++.

crfasrnn

This repository contains the source code for the semantic image segmentation method described in the ICCV 2015 paper: Conditional Random Fields as Recurrent Neural Networks. http://crfasrnn.torr.vision/

crossscalepatchmatch

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

crossscalestereo

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

cs231n.github.io

Public facing notes page

csapp

Computer System A Programming Perspective

cudalbfgs

This is a cross-platform, CUDA-based C++ library for general-purpose, unconstrained nonlinear optimization on the GPU. It implements the L-BFGS (“Limited-memory Broyden-Fletcher-Goldfarb-Shanno“) method, a popular Quasi-Newton variant with a low memory footprint.

cudarray

CUDA-based NumPy

cunn

curfil

CUDA Random Forest implementation for Image Labeling tasks

cvpr2016

Learning Deep Representations of Fine-grained Visual Descriptions

cvpr2016_handposeestimation

Robust 3D Hand Pose Estimation in Single Depth Images: from Single-View CNN to Multi-View CNNs

cvxopt

CVXOPT -- Python Software for Convex Optimization

cvxpy

A Python-embedded modeling language for convex optimization problems.