Pinned Repositories
coqa-baselines
The baselines used in the CoQA paper
DrQA
Reading Wikipedia to Answer Open-Domain Questions
edward
A library for probabilistic modeling, inference, and criticism. Deep generative models, variational inference. Runs on TensorFlow.
examples
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
Gumbel-Softmax-Implementation-with-VAE
The implementation of Gumbel softmax reparametrization trick for discrete VAE
hryym.github.io
Build a Jekyll blog in minutes, without touching the command line.
models
Models and examples built with TensorFlow
pyro
Deep universal probabilistic programming with Python and PyTorch
pytorch-seq2seq
pytorch-seq2seq is a framework for sequence-to-sequence (seq2seq) models in PyTorch.
QANet
A Tensorflow implementation of QANet for machine reading comprehension
hryym's Repositories
hryym/Gumbel-Softmax-Implementation-with-VAE
The implementation of Gumbel softmax reparametrization trick for discrete VAE
hryym/examples
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
hryym/coqa-baselines
The baselines used in the CoQA paper
hryym/DrQA
Reading Wikipedia to Answer Open-Domain Questions
hryym/edward
A library for probabilistic modeling, inference, and criticism. Deep generative models, variational inference. Runs on TensorFlow.
hryym/hryym.github.io
Build a Jekyll blog in minutes, without touching the command line.
hryym/models
Models and examples built with TensorFlow
hryym/pyro
Deep universal probabilistic programming with Python and PyTorch
hryym/pytorch-seq2seq
pytorch-seq2seq is a framework for sequence-to-sequence (seq2seq) models in PyTorch.
hryym/QANet
A Tensorflow implementation of QANet for machine reading comprehension