2's repositories
text_classification
all kinds of text classificaiton models and more with deep learning
differentiable-plasticity
Implementations of the algorithms described in Differentiable plasticity: training plastic networks with gradient descent, a research paper from Uber AI Labs.
awesome-math
A curated list of awesome mathematics resources
tps_stn_pytorch
PyTorch implementation of Spatial Transformer Network (STN) with Thin Plate Spline (TPS)
swa
Stochastic Weight Averaging in PyTorch
SSD-Tensorflow
Single Shot MultiBox Detector in TensorFlow
Siamese-Networks-for-One-Shot-Learning
Implementation of Siamese Neural Networks for One-shot Image Recognition
derive4j
Java 8 annotation processor and framework for deriving algebraic data types constructors, pattern-matching, folds, optics and typeclasses.
CapsNet-Tensorflow
A Tensorflow implementation of CapsNet(Capsules Net) in Hinton's paper Dynamic Routing Between Capsules
chatBot
test
practical-pytorch
PyTorch tutorials demonstrating modern techniques with readable code
BuildingDetectors_Round2
Building detector algorithms from second SpaceNet Challenge
keras-multi-gpu
Multi-GPU data-parallel training in Keras
science_rcn
Reference implementation of a two-level RCN model
research
dataset and code for 2016 paper "Learning a Driving Simulator"
tensorflow-vdsr
A tensorflow implementation of "Accurate Image Super-Resolution Using Very Deep Convolutional Networks", CVPR 16'
MemN2N-pytorch
Implementation of End-to-End Memory Network in PyTorch
Dynamic-memory-networks-plus-Pytorch
Implementation of Dynamic memory networks plus in Pytorch
grammarVAE
Code for the "Grammar Variational Autoencoder" https://arxiv.org/abs/1703.01925
TPS_STN-tensorflow
TensorFlow implementation of Thin Plate Spline Spatial Transformer Network
MemN2N-tensorflow
"End-To-End Memory Networks" in Tensorflow
awesome-awesome-awesome
:octocat: A a curated list of curated lists of awesome lists.
BuildingDetectors
Winning building footprint detector implementations from the SpaceNet challenges.
memn2n
End-To-End Memory Network using Tensorflow
lstm-rcnn-pedestrian-detection
Pedestrian Detection with Faster R-CNN in TensorFlow
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.
jlibsvm
Efficient training of Support Vector Machines in Java
minichat
Minimal realtime chat application ( Tutorial )