Elad Hoffer

seq2seq.pytorch. Sequence-to-Sequence learning using PyTorch

convNet.pytorch. ConvNet training using pytorch

quantized.pytorch. Python

TripletNet. Deep metric learning using Triplet network

bigBatch. Code used to generate the results appearing in "Train longer, generalize better: closing the generalization gap in large batch training of neural networks"

captionGen. Generate captions for an image using PyTorch

ImageNet-Training. ImageNet training using torch

utils.pytorch. Utilities for Pytorch

DeepDream.torch. Torch version for https://github.com/google/deepdream

fix_your_classifier. Python

lmdb.torch. LMDB for Torch

recurrent.torch. Recurrent modules for Torch

norm_matters. Python

SemiSupContrast. Semi-supervised deep learning by metric embedding

convNet.torch. Convolutional network training using Torch

DeepLearningCourse. Deep learning mini-course given at Technion

captionGeneration.torch. Generate captions for an image using convolutional and recurrent networks

eladtools. Lua

ConvNet-torch. Training Deep Convolutional Networks on visual classification tasks

GoogLeNet.torch. Trained network models for Torch

convNet.tf. Convolutional network training using TensorFlow

stl10.torch. STL10 Dataset on Torch

DataProvider.torch. Data providers for Torch

eladhoffer.github.io. CSS

colab-notebooks. Jupyter Notebook

vision. Datasets, Transforms and Models specific to Computer Vision

seq2seq.torch. Lua

DescriptorLearning. Lua