bes-dev / mpl.pytorch
Pytorch implementation of MaxPoolingLoss.
☆175Updated 6 years ago
Alternatives and similar repositories for mpl.pytorch:
Users that are interested in mpl.pytorch are comparing it to the libraries listed below
- Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.☆77Updated 6 years ago
- Support powerful visual logging in PyTorch.☆102Updated 7 years ago
- Transfer Learning Shootout for PyTorch's model zoo (torchvision)☆169Updated 4 years ago
- A PyTorch implementation of the paper Mixup: Beyond Empirical Risk Minimization in PyTorch☆123Updated 7 years ago
- [ECCV 2018] Sparsely Aggreagated Convolutional Networks https://arxiv.org/abs/1801.05895☆124Updated 6 years ago
- Using the CLR algorithm for training (https://arxiv.org/abs/1506.01186)☆108Updated 6 years ago
- Clockwork Convnets for Video Semantic Segmenation☆141Updated 7 years ago
- SE-Net Incorporates with ResNet and WideResnet on CIFAR-10/100 Dataset.☆47Updated 7 years ago
- Implementation of "Learning with Random Learning Rates" in PyTorch.☆102Updated 5 years ago
- PyTorch based Deep Learning Toolbox☆204Updated 6 years ago
- This is an example of how to train a MNIST network in Python and run it in c++ with pytorch 1.0☆96Updated 6 years ago
- Fully Connected DenseNet for Image Segmentation (https://arxiv.org/pdf/1611.09326v1.pdf)☆84Updated 7 years ago
- PyTorch implementation of CVPR'18 - Perturbative Neural Networks http://xujuefei.com/pnn.html☆138Updated 6 years ago
- Demo for CVPR 2017 paper☆100Updated 7 years ago
- The first public PyTorch implementation of Attentive Recurrent Comparators☆147Updated 7 years ago
- Segmentation-Aware Convolutional Networks Using Local Attention Masks☆146Updated 7 years ago
- Implementation of the approach described in the paper "Recurrent Instance Segmentation" https://arxiv.org/abs/1511.08250.☆27Updated 7 years ago
- PyTorch Implementation of ReSeg (https://arxiv.org/pdf/1511.07053.pdf)☆46Updated 7 years ago
- ☆138Updated 8 years ago
- repo that holds code for improving on dropout using Stochastic Delta Rule☆142Updated 5 years ago
- A simple toolkit to easily apply image classification networks to your data.☆119Updated 6 years ago
- TI-pooling: transformation-invariant pooling for feature learning in Convolutional Neural Networks☆118Updated 7 years ago
- The Toolkit for Places Challenge 2017☆111Updated 5 years ago
- Keras implementation of Mobile Networks☆132Updated 6 years ago
- Torch implementation of the paper "Deep Pyramidal Residual Networks" (https://arxiv.org/abs/1610.02915).☆128Updated 7 years ago
- Tensorflow implementation of Magnet Loss from "Metric Learning for Adaptive Density Discrimination"☆96Updated 7 years ago
- Quick PyTorch introduction and tutorial. Targets computer vision, graphics and machine learning researchers eager to try a new framework.☆109Updated 5 years ago
- A simple, flexible, and extensible template for PyTorch. It's beautiful.☆186Updated last year
- Reference caffe implementation of LSUV initialization☆112Updated 7 years ago
- PyTorch code for the "Deep Neural Networks with Box Convolutions" paper☆511Updated 5 years ago