shrtCKT

unsupervised_opennet

Unsupervised Open Set Recognition

opennet

Code for research paper "Learning a Neural Network based Representation for Open Set Recognition" M. Hassen, P. K. Chan

simple-dnn

Simple Deep Neural Nets

FCG-to-Vector

libsvm-openset

WassersteinGAN

DCGAN-tensorflow

A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"

improved_wgan_training

Code for reproducing experiments in "Improved Training of Wasserstein GANs"

imbalanced-learn

Python module to perform under sampling and over sampling with various techniques.

iaf

Code for reproducing key results in the paper "Improving Variational Inference with Inverse Autoregressive Flow"

improved-gan

code for the paper "Improved Techniques for Training GANs"

models

Models built with TensorFlow

notes-on-dirichlet-processes

:game_die: IPython notebooks explaining Dirichlet Processes, HDPs, and Latent Dirichlet Allocation

OSDN

Code and data for the research paper "Towards Open Set Deep Networks" A Bendale, T Boult, CVPR 2016

libMR

Library for Meta-Recognition and Weibull based calibration of SVM data.

scikit-learn

scikit-learn: machine learning in Python

knfst

Kernel Null Foley-Sammon Transform for Novelty Detection