Pinned Repositories
InternetOfTrash
ML_CL
A implementation of a neural network library to create, train and validate neural network models. In particular the focus is on the implementation of a number of first-order optimization methods, that is using only the information given by the gradient. For an overview of some of the methods implemented you can refer to the [work](https://arxiv.org/abs/1609.04747) of S. Ruder.
DC-NeuralConversation
OpenNMT based Neural Conversation model which implements Topic and Semantic Distributional Constraints to improve quality of generated responses
HLT
Implementation of a number of simple models for sentiment analysis and POS tagging
Image_watermarking
Standard C++ and FastFlow implementations of an image watermarking application
InferSent
Sentence embeddings (InferSent) and training code for NLI.
InternetOfTrash
NN_lib
A small scale library to create, train and validate feed-forward neural network models
PyTorch-Recurrent-Point-Process
A rewrite of https://github.com/xiaoshuai09/Recurrent-Point-Process using PyTorch
RUBER
Implementation of RUBER: An Unsupervised Method for Automatic Evaluation of Open-Domain Dialog Systems
ppva's Repositories
ppva/NN_lib
A small scale library to create, train and validate feed-forward neural network models
ppva/Image_watermarking
Standard C++ and FastFlow implementations of an image watermarking application
ppva/PyTorch-Recurrent-Point-Process
A rewrite of https://github.com/xiaoshuai09/Recurrent-Point-Process using PyTorch
ppva/DC-NeuralConversation
OpenNMT based Neural Conversation model which implements Topic and Semantic Distributional Constraints to improve quality of generated responses
ppva/HLT
Implementation of a number of simple models for sentiment analysis and POS tagging
ppva/InferSent
Sentence embeddings (InferSent) and training code for NLI.
ppva/InternetOfTrash
ppva/RUBER
Implementation of RUBER: An Unsupervised Method for Automatic Evaluation of Open-Domain Dialog Systems