Peterou's repositories
bilateralNN
Learning Sparse High Dimensional Filters with Neural Networks
gene_sequence
Parse gene_sequence data.
geometric_ml
This repository contains the Matlab code for the PhD thesis "Geometrical Aspects of Manifold Learning", Georgios Arvanitidis.
keras-mdn-layer
An MDN Layer for Keras using TensorFlow's distributions module
large-scale-OT-mapping-TF
Tensorflow Implementation of "Large-scale Optimal Transport and Mapping Estimation"(ICLR2018/NIPS 2017 OTML)
mnist_challenge
A challenge to explore adversarial robustness of neural networks on MNIST.
OTML_DS3_2018
Practical sessions for the Optimal Transport and Machine learning course at DS3 2018
pgmpy_notebook
Short Tutorial to Probabilistic Graphical Models(PGM) and pgmpy
pmtksupport
Various packages used by PMTK.
Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
proxychains-ng
proxychains ng (new generation) - a preloader which hooks calls to sockets in dynamically linked programs and redirects it through one or more socks/http proxies. continuation of the unmaintained proxychains project. the sf.net page is currently not updated, use releases from github release page instead.
pydensecrf
Python wrapper to Philipp Krähenbühl's dense (fully connected) CRFs with gaussian edge potentials.
pytorch-a3c
PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".
pytorch-lightning
Rapid research framework for Pytorch. The researcher's version of keras
style_transfer
Style Transfer as Optimal Transport
Unsupervised-Segmentation
A high performance impermentation of Unsupervised Image Segmentation by Backpropagation - Asako Kanezaki
video_prop_networks
Code for our CVPR17 paper on "Video Propagation Networks"