pursueorigin's starred repositories
pytorch-tutorial
PyTorch Tutorial for Deep Learning Researchers
awesome-deep-vision
A curated list of deep learning resources for computer vision
awesome-graph-classification
A collection of important graph embedding, classification and representation learning papers with implementations.
DeepLearnToolbox
Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.
cnn-benchmarks
Benchmarks for popular CNN models
keras-resnet
Residual networks implementation using Keras-1.0 functional API
extension-cpp
C++ extensions in PyTorch
hashing-baseline-for-image-retrieval
:octocat:Various hashing methods for image retrieval and serves as the baselines
CNN-for-Sentence-Classification-in-Keras
Convolutional Neural Networks for Sentence Classification in Keras
Stochastic_Depth
Deep Networks with Stochastic Depth
generative-adversial
image generation via GANs
DL-to-Rank
Learning to Rank with Deep Neural Networks
Daily-Neural-Network-Practice-2
Daily Dose of Neural Network that Everyone Needs
denoising-convolutional-ae-torch
An implementation of a denoising convolutional autoencoder built on Torch, trained on still images from Stanley Kubrick's 2001: A Space Odyssey