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active-contour-loss-pytorch

An unofficial pytorch implementation for "Learning Active Contour Models for Medical Image Segmentation" by Chen, Xu, et al.

batched_pairwise_euclidean_distances_tensorflow

batched_pairwise_euclidean_distances_tensorflow

bayesian-optimization

Python code for bayesian optimization using Gaussian processes

caffe2

Caffe2 is a lightweight, modular, and scalable deep learning framework.

cbct2ct

deep_sort

Simple Online Realtime Tracking with a Deep Association Metric

deepdream

deeplearningtutorials

Deep Learning Tutorial notes and code. See the wiki for more info.

focal_loss_pytorch

forfun

grammar-cells

heteroscedasticdropoutuncertainty

Demos demonstrating the difference between homoscedastic and heteroscedastic regression with dropout uncertainty.

ib-gan

Code for paper IB-GAN: A modality conversion approach to MV-DRs and KV-DRRs registration using information bottlenecked conditional generative adversarial network

introvae-pytorch

Pytorch Implementation for paper: IntroVAE: Introspective Variational Autoencoders for Photographic Image Synthesis

keras

Deep Learning library for Python. Runs on TensorFlow, Theano, or CNTK.

keras_hed

Holistically-Nested Edge Detection in Keras

lc82111.github.io

learn_opencv

matrad

An open source multi-modality radiation treatment planning sytem

mix-and-match

mtcnn

C++ project to implement MTCNN, a perfect face detect algorithm, on different DL frameworks. The most popular frameworks: caffe/mxnet/tensorflow, are all suppported now

nets

Welcome to the Academy of Arts

nntools

Implement Gated Autoencoder under lasagne framework

nolearn

Abstractions around neural net libraries, most notably Lasagne.

numpy-opencv-converter

OpenCV <=> NumPy Converter using Boost::Python

nutracker

nutracker.github.io

pmtk3

Probabilistic Modeling Toolkit for Matlab/Octave.

pose-residual-network

Code for the Pose Residual Network introduced in 'MultiPoseNet: Fast Multi-Person Pose Estimation using Pose Residual Network (ECCV 2018)' paper

pyrad

python framework of radiotherapy inverse optimization