noahfl / densenet-sdr
repo that holds code for improving on dropout using Stochastic Delta Rule
☆142Updated 5 years ago
Related projects ⓘ
Alternatives and complementary repositories for densenet-sdr
- Code used to generate the results appearing in "Train longer, generalize better: closing the generalization gap in large batch training o…☆148Updated 7 years ago
- ICLR 2018 reproducibility challenge - Multi-Scale Dense Convolutional Networks for Efficient Prediction☆137Updated 6 years ago
- Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.☆77Updated 6 years ago
- A TensorFlow implementation of Group Normalization on the task of image classification☆208Updated 6 years ago
- auto-tuning momentum SGD optimizer☆287Updated 5 years ago
- PyTorch implementation of CVPR'18 - Perturbative Neural Networks http://xujuefei.com/pnn.html☆138Updated 5 years ago
- Files to create the figures in the paper "Super-Convergence: Very Fast Training of Residual Networks Using Large Learning Rates"☆190Updated 6 years ago
- Tensorflow implementation of Magnet Loss from "Metric Learning for Adaptive Density Discrimination"☆96Updated 6 years ago
- SE-Net Incorporates with ResNet and WideResnet on CIFAR-10/100 Dataset.☆47Updated 7 years ago
- A PyTorch implementation of the paper Mixup: Beyond Empirical Risk Minimization in PyTorch☆123Updated 6 years ago
- visualization of CNN in PyTorch☆154Updated last year
- Implementation of "Learning with Random Learning Rates" in PyTorch.☆102Updated 5 years ago
- A new kind of pooling layer for faster and sharper convergence☆76Updated 7 years ago
- Pytorch implementation of fine tuning pretrained imagenet weights☆143Updated 5 years ago
- Reference caffe implementation of LSUV initialization☆112Updated 7 years ago
- Pytorch implementation of MaxPoolingLoss.☆175Updated 6 years ago
- [ECCV 2018] Sparsely Aggreagated Convolutional Networks https://arxiv.org/abs/1801.05895☆125Updated 6 years ago
- ☆138Updated 8 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
- Label Refinery: Improving ImageNet Classification through Label Progression☆280Updated 6 years ago
- residual-SqueezeNet☆154Updated 5 years ago
- PyTorch implementation of a deep metric learning technique called "Magnet Loss" from Facebook AI Research (FAIR) in ICLR 2016.☆222Updated 9 months ago
- This repository contains code for paper "Learning Deep Embeddings with Histogram Loss" (NIPS2016)☆95Updated 7 years ago
- Repository has been moved: https://github.com/adobe/antialiased-cnns☆165Updated 3 years ago
- TensorFlow implementation of PNASNet-5 on ImageNet☆102Updated 5 years ago
- Torch implementation of the paper "Deep Pyramidal Residual Networks" (https://arxiv.org/abs/1610.02915).☆129Updated 7 years ago
- Accelerated Deep Learning with PyTorch at Jupyter Day Atlanta II☆127Updated 6 years ago
- A pytorch implementation of "Self-Normalizing Neural Networks" by Klambauer et al. (still beta)☆59Updated 7 years ago
- Cleaned original source code from my NIPS publication☆154Updated 6 years ago