ibragim Goto Github PK

handong1587.github.io

hed

code for Holistically-Nested Edge Detection

hierduals

Examples of using hierarchical duals/envelopes to fit statistical models involving "mix and match" combinations of penalties and loss functions.

holy-edge

Holistically-Nested Edge Detection

how-far-can-we-go-with-mnist

A collection of codes for 'how far can we go with MNIST' challenge

imagesegmentation

Image Segmentation using Texture+Color features

jphp

An alternative to Zend PHP, like JRuby and Jython only for PHP

lbfgsb-gpu

learnopencv

Learn OpenCV : C++ and Python Examples

lenta

livescan3d

LiveScan3D is a system designed for real time 3D reconstruction using multiple Kinect v2 depth sensors simultaneously at real time speed.

logistic

Experimental logistic regression code supporting multiple result categories, many levels of categorical modeling variables, good optimization, L2 regularization and more.

lstm

machine-learning

Here you will find all the concepts related to Machine Learning.

mnist

Classify MNIST digits using Convolutional Neural Networks

mnist-svhn-transfer

PyTorch Implementation of CycleGAN and SSGAN for Domain Transfer (Minimal)

multi-x

The Multi-X algorithm proposed in paper: Daniel Barath and Jiri Matas, Multi-class model fitting by energy-minimization and mode-seeking, European Conference on Computer Vision, 2018. It is available at http://openaccess.thecvf.com/content_ECCV_2018/papers/Daniel_Barath_Multi-Class_Model_Fitting_ECCV_2018_paper.pdf

multinet

Real-time Joint Semantic Reasoning for Autonomous Driving

nelder-mead

Pure Python/Numpy implementation of the Nelder-Mead algorithm.

noisy-labels-problem-collection

This is a collection of Papers and Codes for Noisy Labels Problem.

noisy_label

Code for the CVPR15 paper "Learning from Massive Noisy Labeled Data for Image Classification"

nonconvex-optimization

Matlab/Octave toolbox for nonconvex optimization

onlinemaxnorm-nips2014

Matlab code for NIPS 2014 work "Online Optimization for Max-Norm Regularization"

pix2pix

Image-to-image translation with conditional adversarial nets

pix2pix-pytorch

PyTorch implementation of "Image-to-Image Translation Using Conditional Adversarial Networks".

pix2pix.pytorch

A pytorch implementation of "Image-to-Image Translation with Conditional Adversarial Networks"

pix2pixbegan.pytorch

A pytorch implementation of pix2pix + BEGAN (Boundary Equilibrium Generative Adversarial Networks)

pixelnet

The repository contains source code and models to use PixelNet architecture used for various pixel-level tasks. More details can be accessed at <http://www.cs.cmu.edu/~aayushb/pixelNet/>.

pytorch-cyclegan-and-pix2pix

Image-to-image translation in PyTorch (e.g., horse2zebra, edges2cats, and more)

pytorch-hed

Pytorch implementation of HED