Alternatives and similar repositories for densenet-sdr:

Users that are interested in densenet-sdr are comparing it to the libraries listed below

• veronikayurchuk / pretrained-models.pytorch
  Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.
  ☆77Updated 7 years ago
• chenxi116 / PNASNet.TF
  TensorFlow implementation of PNASNet-5 on ImageNet
  ☆101Updated 6 years ago
• leonardblier / alrao
  Implementation of "Learning with Random Learning Rates" in PyTorch.
  ☆102Updated 5 years ago
• avirambh / MSDNet-GCN
  ICLR 2018 reproducibility challenge - Multi-Scale Dense Convolutional Networks for Efficient Prediction
  ☆135Updated 6 years ago
• juefeix / pnn.pytorch
  PyTorch implementation of CVPR'18 - Perturbative Neural Networks http://xujuefei.com/pnn.html
  ☆138Updated 6 years ago
• JianGoForIt / YellowFin_Pytorch
  auto-tuning momentum SGD optimizer
  ☆286Updated 6 years ago
• leehomyc / mixup_pytorch
  A PyTorch implementation of the paper Mixup: Beyond Empirical Risk Minimization in PyTorch
  ☆123Updated 7 years ago
• bes-dev / mpl.pytorch
  Pytorch implementation of MaxPoolingLoss.
  ☆176Updated 6 years ago
• eladhoffer / bigBatch
  Code used to generate the results appearing in "Train longer, generalize better: closing the generalization gap in large batch training o…
  ☆149Updated 7 years ago
• hessamb / label-refinery
  Label Refinery: Improving ImageNet Classification through Label Progression
  ☆279Updated 6 years ago
• Lyken17 / SparseNet
  [ECCV 2018] Sparsely Aggreagated Convolutional Networks https://arxiv.org/abs/1801.05895
  ☆124Updated 6 years ago
• pumpikano / tf-magnet-loss
  Tensorflow implementation of Magnet Loss from "Metric Learning for Adaptive Density Discrimination"
  ☆95Updated 7 years ago
• shaohua0116 / Group-Normalization-Tensorflow
  A TensorFlow implementation of Group Normalization on the task of image classification
  ☆208Updated 6 years ago
• vithursant / MagnetLoss-PyTorch
  PyTorch implementation of a deep metric learning technique called "Magnet Loss" from Facebook AI Research (FAIR) in ICLR 2016.
  ☆219Updated last year
• for-ai / Targeted-Dropout
  Complementary code for the Targeted Dropout paper
  ☆255Updated 5 years ago
• DingKe / pytorch_workplace
  Random miniprojects with pytorch.
  ☆171Updated 6 years ago
• ducha-aiki / LSUVinit
  Reference caffe implementation of LSUV initialization
  ☆113Updated 7 years ago
• tobiascz / MNIST_Pytorch_python_and_capi
  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
• rahulkidambi / AccSGD
  Implements pytorch code for the Accelerated SGD algorithm.
  ☆215Updated 7 years ago
• philkr / magic_init
  ☆138Updated 8 years ago
• szagoruyko / binary-wide-resnet
  PyTorch implementation of Wide Residual Networks with 1-bit weights by McDonnell (ICLR 2018)
  ☆123Updated 6 years ago
• anandsaha / pytorch.cyclic.learning.rate
  Using the CLR algorithm for training (https://arxiv.org/abs/1506.01186)
  ☆108Updated 6 years ago
• madkn / HistogramLoss
  This repository contains code for paper "Learning Deep Embeddings with Histogram Loss" (NIPS2016)
  ☆96Updated 7 years ago
• richzhang / antialiased-cnns
  Repository has been moved: https://github.com/adobe/antialiased-cnns
  ☆165Updated 3 years ago
• leelabcnbc / cnnvis-pytorch
  visualization of CNN in PyTorch
  ☆155Updated last year
• chengtaipu / lowrankcnn
  Low-rank convolutional neural networks
  ☆97Updated 9 years ago
• xgastaldi / shake-shake
  2.86% and 15.85% on CIFAR-10 and CIFAR-100
  ☆296Updated 6 years ago
• Queequeg92 / SE-Net-CIFAR
  SE-Net Incorporates with ResNet and WideResnet on CIFAR-10/100 Dataset.
  ☆47Updated 7 years ago
• jotaf98 / curveball
  Second-order optimiser for deep networks
  ☆76Updated 6 years ago
• DNNToolBox / Net-Trim-v1
  Net-Trim: Convex Pruning of Deep Neural Networks with Performance Guarantee
  ☆59Updated 6 years ago