Min Gui's repositories
App-DL
Deep Learning and applications in Startups, CV, Text Mining, NLP
crossModalRetrieval
A demo of a cross-modal retrieval system
DeepChannel
The pytorch implementation of paper "DeepChannel: Salience Estimation by Contrastive Learning for Extractive Document Summarization"
Dive-into-DL-PyTorch
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。
EasyTransfer
EasyTransfer is designed to make the development of transfer learning in NLP applications easier.
fast_abs_rl
Code for ACL 2018 paper: "Fast Abstractive Summarization with Reinforce-Selected Sentence Rewriting. Chen and Bansal"
fg
My website:
files2rouge
Calculating ROUGE score between two files (line-by-line)
gcn
Implementation of Graph Convolutional Networks in TensorFlow
lxmert
PyTorch code for EMNLP 2019 paper "LXMERT: Learning Cross-Modality Encoder Representations from Transformers".
models
Models and examples built with TensorFlow
OpenNMT-tf
Neural machine translation and sequence learning using TensorFlow
Prefuse
Prefuse is a set of software tools for creating rich interactive data visualizations in the Java programming language. Prefuse supports a rich set of features for data modeling, visualization, and interaction. It provides optimized data structures for tables, graphs, and trees, a host of layout and visual encoding techniques, and support for animation, dynamic queries, integrated search, and database connectivity.
pytorch-handbook
pytorch handbook是一本开源的书籍,目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门,其中包含的Pytorch教程全部通过测试保证可以成功运行
reinforcement-learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
SeqGAN
Implementation of Sequence Generative Adversarial Nets with Policy Gradient
transfer-learning-conv-ai
🦄 State-of-the-Art Conversational AI with Transfer Learning
txtai
AI-powered search engine
unified-summarization
Official codes for the paper: A Unified Model for Extractive and Abstractive Summarization using Inconsistency Loss.