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bayes

Inverse problem bayesian method project

caffe

Caffe: a fast open framework for deep learning.

catordogmachinelearningimageclassifierproject

Created and analyzed a machine learning project for determining if an image is a picture of a dog or of a cat. 1,170 images from the Kaggle data set were used for feature selection performed by a pre-trained Convolutional Neural Network to create a Cosine K-Nearest Neighbor classifier and a Cubic Support Vector Machine classifier. 25,000 images were then used for a second feature selection to create another Cubic Support Vector Machine since it was the better performing classifier. The entire machine learning workflow was performed including partitioning the data, feature selection, classifier selection, training, cross-validation and testing. The MATLAB Classification Learner App was used to help create the classifiers. This project was performed by two partners and myself for my Introduction to Artificial Intelligence elective course (CAP4630).

convolutionalneuralnetwork

Convolutional Neural Networks for Object Classification done as a course project for CS663 Digital Image Processing

deep-admm-net

deep-learning-papers-reading-roadmap

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

deep-learning-tensorflow

Ready to use implementations of various Deep Learning algorithms using TensorFlow.

deeplearning

Deep Learning (Python, C, C++, Java, Scala, Go)

distributed-compressive-sensing-a-deep-learning-approach

Distributed Compressive Sensing: A Deep Learning Approach

frontend-hard-mode-interview

《前端内参》帮助前端工程师们夯实技术以通过一线互联网企业技术面试。日拱一卒，一年下来你会惊叹自己的进步。

gpstuff

GPstuff - Gaussian process models for Bayesian analysis

javascript

JavaScript Style Guide

learn

learning

lpr

matlab_sar

A basic MATLAB library to demonstrate reading, writing, display, and simple processing of complex SAR data using the NGA SICD standard.

matlabdbn

Dynamic Bayesian Network

npbayeshmm

Nonparametric Bayesian Inference for Sequential Data. Includes state-of-the-art MCMC inference for Beta process Hidden Markov Models (BP-HMM). Implemented in Matlab.

rnnlib

RNNLIB is a recurrent neural network library for sequence learning problems. Forked from Alex Graves work http://sourceforge.net/projects/rnnl/

web

前端入门到进阶，超详细的Web前端学习图文教程。从零开始学前端，做一名精致优雅的前端工程师。每日更新...