A Torch implementation of the object detection network from "A MultiPath Network for Object Detection" (https://arxiv.org/abs/1604.02135)

MultiPath Network training code The code provides functionality to train Fast R-CNN and MultiPath Networks in Torch-7. Corresponding paper: A MultiPath Network for Object Detection http://arxiv.org/abs/1604.02135 If you use Mu

Related Repos

mozilla This project is a part of Mozilla Common Voice. TTS aims a deep learning based Text2Speech engine, low in cost and high in quality. To begin with, you can hear a sample generated voice from here. TTS includes two different model implem

hyqneuron PyTorch Implementation of Autoencoding Variational Inference for Topic Models Original Paper. Original Tensorflow implementation. Much of the code and all of the data is copied from the above repo. What this repo contains:

truskovskiyk PyTorch NIMA: Neural IMage Assessment

batzner TensorFlow implementation of Independently Recurrent Neural Networks

KaiyangZhou Torchreid Torchreid is a library for deep-learning person re-identification, written in PyTorch. It features: multi-GPU training support both image- and video-reid end-to-end training and evaluation incredibly easy pre

vithursant MagnetLoss-PyTorch PyTorch implementation of the Magnet Loss for Deep Metric Learning, based on the following paper: Metric Learning with Adaptive Density Discrimination by Oren Rippel, Piotr Dollar, Manohar Paluri, Lubomir B

davidmascharka PyTorch implementation of "Transparency by Design: Closing the Gap Between Performance and Interpretability in Visual Reasoning

scikit-learn-contrib skope-rules Skope-rules is a Python machine learning module built on top of scikit-learn and distributed under the 3-Clause BSD license. Skope-rules aims at learning logical, interpretable rules for "scoping" a targe