kur0saki Goto Github PK

awesome-deep-vision

A curated list of deep learning resources for computer vision

classifying-dogs-and-cats-using-cnn

Using deep learning to improve image classification accuracy

densemapnet

DenseMapNet Keras code of "Fast Disparity Estimation using Dense Networks" paper to appear at ICRA 2018

depth-estimation-using-cnn

Simple depth maps obtained by using CNN

dispnet-tensorflow

TensorFlow implementation of DispNet by Zhijian Jiang.

dl4cvstarterbundle

Edited code examples from the book 'Deep Learning for Computer Vision - Starter Bundle' by Adrian Rosebrock

dual-cnn-approach-for-depth-estimation

fifa-worldcup-2018-prediction

Using Machine Learning to predict the winner of the 2018 FIFA World Cup.

flutterbluetooth

get-me-through

A Free, Offline, Real-Time, Open-source web-app to assist organisers of any event in allowing only authorised/invited people using Face-Recognition Technology or QR Code.

image-processing-gui-with-opencv3-and-qt5

A GUI for Image Processing

img_proc_gui

GUI for Image Processing using OpenCV

intelegent_lock

lock mechanism with face recognition and liveness detection

lc-all-solutions

My own leetcode solutions by python

learndatascience

Open Content for self-directed learning in data science

liveness

Liveness detection experiments

machine_learning

Python coded examples and documentation of machine learning algorithms.

meetup-fall-2013

Slides, code, and other information relating to the Fall 2013 Meetups

naive-bayes-text-classifier-in-java

Naive Bayes Classification used to classify movie reviews as positive or negative

phone-face-eyeclassifier

A haar cascade classifier that can detect smart phones as well as faces and eyes

pyspark_streaming_data

workshop streaming data with python and spark

simple-ai-projects

A collection of projects that use AI in some meaningful way

sklearn_tutorial

Materials for my scikit-learn tutorial

test

textmining

tfidf

Implements TFIDF calculation in Java

theano-mc-cnn

Simple Theano Implementation of https://arxiv.org/abs/1510.05970 for Stereo Depth Maps

tutorials

Code for all my tutorials

w-net

w-net: a convolutional neural network architecture for the self-supervised learning of depthmap from pairs of stereo images.