Pinned Repositories
A-DEEP-REINFORCED-MODEL-FOR-ABSTRACTIVE-SUMMARIZATION
Pytorch implementation for paper of "A DEEP REINFORCED MODEL FOR ABSTRACTIVE SUMMARIZATION". https://arxiv.org/abs/1705.04304
A-Hierarchical-Latent-Structure-for-Variational-Conversation-Modeling
PyTorch 0.4 Implementation of "A Hierarchical Latent Structure for Variational Conversation Modeling" accepted in NAACL 2018 (Oral).
acl2018-semantic-parsing-tutorial
Materials from the ACL 2018 tutorial on neural semantic parsing
act-tensorflow
Adaptive Computation Time algorithm in Tensorflow
sungjinlees's Repositories
sungjinlees/A-DEEP-REINFORCED-MODEL-FOR-ABSTRACTIVE-SUMMARIZATION
Pytorch implementation for paper of "A DEEP REINFORCED MODEL FOR ABSTRACTIVE SUMMARIZATION". https://arxiv.org/abs/1705.04304
sungjinlees/A-Hierarchical-Latent-Structure-for-Variational-Conversation-Modeling
PyTorch 0.4 Implementation of "A Hierarchical Latent Structure for Variational Conversation Modeling" accepted in NAACL 2018 (Oral).
sungjinlees/acl2018-semantic-parsing-tutorial
Materials from the ACL 2018 tutorial on neural semantic parsing
sungjinlees/atis
sungjinlees/CSQA_Code
sungjinlees/DynSP
Search-based-Neural-Structured-Learning-for-Sequential-Question-Answering
sungjinlees/fairseq
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
sungjinlees/fastai
The fast.ai deep learning library, lessons, and tutorials
sungjinlees/glad
Global-Locally Self-Attentive Dialogue State Tracker
sungjinlees/GraphSAGE
Representation learning on large graphs using stochastic graph convolutions.
sungjinlees/intrinsic-dimension
sungjinlees/lsgn
Labeled Span Graph Networks
sungjinlees/LSTMVis
Visualization Toolbox for Long Short Term Memory networks (LSTMs)
sungjinlees/MAML-Pytorch
Elegant PyTorch implementation of paper Model-Agnostic Meta-Learning (MAML)
sungjinlees/Neural-LP
Differentiable Learning of Logical Rules for Knowledge Base Reasoning
sungjinlees/NeuroNLP2
Deep neural models for core NLP tasks (Pytorch version)
sungjinlees/NMT_GAN
generative adversarial nets for neural machine translation
sungjinlees/nonauto-nmt
PyTorch Implementation of "Non-Autoregressive Neural Machine Translation"
sungjinlees/open_type
sungjinlees/OpenKE
An Open-Source Package for Knowledge Embedding (KE)
sungjinlees/poincare-embeddings
PyTorch implementation of the NIPS-17 paper "Poincaré Embeddings for Learning Hierarchical Representations"
sungjinlees/PointerSQL
Code for PointerSQL, PT-MAML, Execution-guided Decoding papers
sungjinlees/Practical_RL-coursera
My Solution to the Programming Assignments for Practical Reinforcement Learning from Coursera
sungjinlees/pytorch-a2c-ppo-acktr
PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO) and Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR).
sungjinlees/pytorch-a3c
PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".
sungjinlees/RL-Adventure
Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL
sungjinlees/sequicity
Source code for the ACL 2018 paper entitled "Sequicity: Simplifying Task-oriented Dialogue Systems with Single Sequence-to-Sequence Architectures" by Wenqiang Lei et al.
sungjinlees/sgan
Code for "Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networks", Gupta et al, CVPR 2018
sungjinlees/VarDropPytorch
Pytorch implementation of Variational Dropout Sparsifies Deep Neural Networks
sungjinlees/visDial.pytorch
visual dialog model in pytorch