stevenfengli Goto Github PK

change_burst_data

Data sets required to reproduce change burst experiments as reported at http://www.st.cs.uni-saarland.de/softevo/burst-data/eclipse/

csfengli

Welcome to Homepage of Feng Li

deeplearntoolbox

Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.

dtf_fisher

Improved Dense Trajectory features encoded by Fisher Vectors

exclusively-dark-image-dataset

Exclusively Dark (ExDARK) dataset which to the best of our knowledge, is the largest collection of low-light images taken in very low-light environments to twilight (i.e 10 different conditions) to-date with image class and object level annotations.

implicit

Fast Python Collaborative Filtering for Implicit Datasets

implicit-cf

A Python implementation of Hu et al. (2008)'s "Collaborative Filtering for Implicit Feedback Datasets"

implicit-mf

Implicit matrix factorization as outlined in http://yifanhu.net/PUB/cf.pdf.

infosec

infosec

infosec-master

learning-to-see-in-the-dark

Learning to See in the Dark. CVPR 2018

logistic-mf

Logistic Matrix Factorization for Implicit Feedback Data. http://stanford.edu/~rezab/nips2014workshop/submits/logmat.pdf

mingyang.github.io

prmlt

Pattern Recognition and Machine Learning Toolbox

sample_svdd

A sampling SVDD algorithm for large datasets.

shixun

solid

Solid - Re-decentralizing the web (project directory)

stevenfengli.github.io

My personal blog based on github

tensorflow-tutorials

Simple tutorials using Google's TensorFlow Framework

teriswebgame

The project is my Project work of IT Project Management Course and Service-oriented Architecture WebService Course.

texture-analysis

The repository includes texture representation, recognition, segmentation and others of texture analysis.

torch-video-tutorials

Light your way in Deep Learning with Torch 🔦

two-stream-action-recognition

Using two stream architecture to implement a classic action recognition method on UCF101 dataset