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mripy-1

MRI Python code

msc-2018-final

multi-task-learning-example

A multi-task learning example for the paper https://arxiv.org/abs/1705.07115

munit

Multimodal Unsupervised Image-to-Image Translation

muti-attention-cnn

nbconvert

Jupyter Notebook Conversion

network-analysis-made-simple

For PyCon, PyData, ODSC, and beyond!

neural-style

Torch implementation of neural style algorithm

neurohacking

Neurohacking Coursera Course

nips-paper-summaries

This repository contains the summaries of projects implemented in this organisation.

nlp-progress

Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

notebooks

My Jupyter notebook server

nothotdog-classifier

What would you say if I told you there is a app on the market that tell you if you have a hotdog or not a hotdog.

numerical-linear-algebra

Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course

nxviz

Visualization Package for NetworkX

object-detection-metrics

Most popular metrics used to evaluate object detection algorithms

objectcontourdetector

ocra

odin

A simple and effective method for detecting out-of-distribution images in neural networks.

odin-pytorch

Principled Detection of Out-of-Distribution Examples in Neural Networks

one-hundred-layers-tiramisu

Keras Implementation of The One Hundred Layers Tiramisu: Fully Convolutional DenseNets for Semantic Segmentation by (Simon Jégou, Michal Drozdzal, David Vazquez, Adriana Romero, Yoshua Bengio)

one-pixel-attack-keras

Keras reimplementation of "One pixel attack for fooling deep neural networks" using differential evolution on cifar10

open-nsynth-super

Open NSynth Super is an experimental physical interface for the NSynth algorithm

openrefine

OpenRefine is a free, open source power tool for working with messy data and improving it

optnet

OptNet: Differentiable Optimization as a Layer in Neural Networks

osm-instance-segmentation

This project is about generating building footprints from orthophotos (i.e. aerial imagery) using deep learning.

osvos-pytorch

PyTorch implementation of One-Shot Video Object Segmentation (OSVOS)

oxford_asl

A command line tool for quantification of perfusion from ASL data

pandas

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

pandas-videos

Jupyter notebook and datasets from the pandas Q&A video series