Pinned Repositories
3D-CAE
3d-convolutional-network
Alzheimer disease diagnosis by Deeply Supervised 3D Convolutional Network
academic-pages-demo
ADAPET
[EMNLP 2021] Improving and Simplifying Pattern Exploiting Training
deep-cca
Deep CCA (DCCA) network
deeply-supervised-siamese
Nonnegativity-Constrained-Autoencoder-NCAE
Matlab code for implementing Nonnegativity Constrained Autoencoder (NCAE) for Deep Learning.
pytorch-text-classification
siamese-rnn
Language Model based on similarity and recurrent network
structured-sparse-convolutional-autoencoder
ehosseiniasl's Repositories
ehosseiniasl/deep-cca
Deep CCA (DCCA) network
ehosseiniasl/Nonnegativity-Constrained-Autoencoder-NCAE
Matlab code for implementing Nonnegativity Constrained Autoencoder (NCAE) for Deep Learning.
ehosseiniasl/structured-sparse-convolutional-autoencoder
ehosseiniasl/3D-CAE
ehosseiniasl/deeply-supervised-siamese
ehosseiniasl/awesome-rnn
Recurrent Neural Network - A curated list of resources dedicated to RNN
ehosseiniasl/convnet-benchmarks
Easy benchmarking of all publicly accessible implementations of convnets
ehosseiniasl/dcgan.torch
A torch implementation of http://arxiv.org/abs/1511.06434
ehosseiniasl/deep-fusion
ehosseiniasl/DeepLearningTutorials
Deep Learning Tutorial notes and code. See the wiki for more info.
ehosseiniasl/DIGITS
Deep Learning GPU Training System
ehosseiniasl/dl4mt-cdec
ehosseiniasl/dotfiles
collection of dotfiles. WIP
ehosseiniasl/fuel
A data pipeline framework for machine learning
ehosseiniasl/is13
RNN for Spoken Language Understanding
ehosseiniasl/papers
work in progress
ehosseiniasl/proxcocoa
A primal-dual framework for distributed L1-regularized optimization
ehosseiniasl/requests-for-research
A living collection of deep learning problems
ehosseiniasl/reseg
A Recurrent Neural Network for Object Segmentation
ehosseiniasl/resume
My CV
ehosseiniasl/seq2seq-attn
Sequence-to-sequence model with LSTM encoder/decoders and attention
ehosseiniasl/spearmint
Spearmint is a package to perform Bayesian optimization according to the algorithms outlined in the paper: Practical Bayesian Optimization of Machine Learning Algorithms. Jasper Snoek, Hugo Larochelle and Ryan P. Adams. Advances in Neural Information Processing Systems, 2012
ehosseiniasl/Spoon-Knife
This repo is for demonstration purposes only.
ehosseiniasl/summerschool2015
Slides and exercises for the Deep Learning Summer School 2015 programming tutorials
ehosseiniasl/test
ehosseiniasl/Theano-MPI
MPI Parallel framework for training deep learning models built in Theano
ehosseiniasl/torch-distlearn
A set of distributed learning algorithms for Torch
ehosseiniasl/torchnet
Torch on steroids
ehosseiniasl/variational-convolutional-autoencoder
ehosseiniasl/wavelet-neural-network