Top Repositories
:dart: predict the price trend of individual stocks using deep learning and natural language processing
This repository contains the data and code for the paper "An Empirical Comparison on Imitation Learning and Reinforcement Learning for Paraphrase Generation" (EMNLP2019).
A simple Keras implementation of Paper "Text Matching as Image Recognition"
This repository contains the data and code for the paper "Diverse Text Generation via Variational Encoder-Decoder Models with Gaussian Process Priors" (SPNLP@ACL2022)
A simple Keras implementation of ARC-II model proposed by paper "Convolutional Neural Network Architectures for Matching Natural Language Sentences"
A neural text style transfer model
Repositories
54:dart: predict the price trend of individual stocks using deep learning and natural language processing
This repository contains the data and code for the paper "Diverse Text Generation via Variational Encoder-Decoder Models with Gaussian Process Priors" (SPNLP@ACL2022)
This repository contains the data and code for the paper "An Empirical Comparison on Imitation Learning and Reinforcement Learning for Paraphrase Generation" (EMNLP2019).
use deep learning algorithms to do nucleus detection.
A beautiful, simple, clean, and responsive Jekyll theme for academics
A simple Keras implementation of ARC-II model proposed by paper "Convolutional Neural Network Architectures for Matching Natural Language Sentences"
A modular RL library to fine-tune language models to human preferences
This repository contains the data and code for the paper "Self-training with Two-phase Self-augmentation for Few-shot Dialogue Generation" (EMNLP2022-Findings).
Making big AI models cheaper, easier, and more scalable
A neural text style transfer model
A simple Keras implementation of Paper "Text Matching as Image Recognition"
MultiDoc2Dial: Modeling Dialogues Grounded in Multiple Documents
This repository contains the data and code for the paper "SideControl: Controlled Open-domain Dialogue Generation via Additive Side Networks" (EMNLP2021-Findings).
my course work for the Applied Data Science with Python in Coursera
Google Research
Transformer-based Conditional Variational Autoencoder for Controllable Story Generation
Compare two version of an arXiv preprint with a single command.
Harnessing Pre-Trained Neural Networks with Rules for Formality Style Transfer
my study record for deep learning application with natural language processing problems
No description provided.
Plug and Play Language Model implementation. Allows to steer topic and attributes of GPT-2 models.
GeDi: Generative Discriminator Guided Sequence Generation
No description provided.
novel deep learning research works with PaddlePaddle
Implementation of Convolutional Neural Networks for Sentence Classification (Y.Kim, EMNLP 2014) on Pytorch.
No description provided.
Multi-turn dialogue baselines written in PyTorch
Latent Alignment and Variational Attention
No description provided.
a simple pytorch implementation of the recurrent neural network language models