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bag-of-words

BoW+SIFT+Classification for Matlab. A powerful classification tool and useful for machine learning or image processing beginner.

berkeley-artifical-intelligence-pacman-project

Using python to explore the basics of Artifical Intelligence, includes topics such as Heuristics, Alpha-Beta game tree search, Bayesian Network. and Markov Models.

bk_maxflow

Modified Boykov/Kolmogorov solver 2.22 for max-flow min-cut problem - with lower memory consumption. For original version see first commit or http://pub.ist.ac.at/~vnk/software.html and https://xip.uclb.com/i/software/maxflow_computervision.html

channel_prune

Base to channel pruned to ResNet18 model

coso-trng

Reference implementation for the COherent Sampling ring Oscillator based True Random Number Generator.

countit

Android app for counting things

coursera-ml-py

Python programming assignments for Machine Learning by Prof. Andrew Ng in Coursera

cs6643-computervision

CS-GY 6643 Computer Vision course assignments

deeplearning_tutorials

The deeplearning algorithms implemented by tensorflow

fly_us

美国大学备考资料 How to apply US colleges

g21_realtimevideoencryption

ghostbusters

cs188 project 5

gis

gitskills

hapih-2

API for supporting C++14 external memory hacking. Complete redesign from HAPIH

ibfs

Modified IBFS solver for max-flow min-cut problem - with lower memory consumption and float capacity support. For original version see first commit or http://www.cs.tau.ac.il/~sagihed/ibfs/

image-and-video-processing-and-analysis

fft/ifft transformations, DCT encoding/decoding using various techniques (zig-zag scanning, quantization), SNR calculations, filters (Gaussian, median, bilateral), edge detection, motion assessment, moving objects detection, JPEG model study

image-segmentation

Image segmentation by EM algorithm and Mean-shift

image-stitching

MATLAB code for panorama image stitching.

image_stiching

Image Stiching for Panoramic Images

jason-s-repository

logical-planning-agent

Pacman agent will logically plan his way to the goal

machinelearning

My blogs and code for machine learning. http://cnblogs.com/pinard

math

MIT-18.06-线性代数-完整笔记

maxflow

A library that implements the maxflow-mincut algorithm.

mcmc

Collection of Monte Carlo (MC) and Markov Chain Monte Carlo (MCMC) algorithms applied on simple examples.

mcmc-1

Metropolis-Hastings MCMC

mean-shift-algorithm-for-image-segmentation

>In this work i implemented the Mean Shift Image Segmentation method. >>>Mean shift clustering is a non-parametric kernel density estimation technique that clusters points based on repeated updation of the mean. >>>Used a kernel based on joint distance using the color and (x,y) locations. Evaluated different kernels for image segmentation. Also checked and evaluated the effect of the bandwidth of the kernels on the resulting image segmentation.

mean-shift-segmentation-digital-image-processing

Mean Shift segmentation in matlab

minimal-bag-of-visual-words-image-classifier

Implementation of a content based image classifier using the bag of visual words approach in Python together with Lowe's SIFT and Libsvm.