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liuweipin2020's Projects

srb icon srb

Code for "Improving Semantic Relevance for Sequence-to-Sequence Learning of Chinese Social Media Text Summarization"

srgan icon srgan

Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network

srgan-tensorflow icon srgan-tensorflow

Tensorflow implementation of the SRGAN algorithm for single image super-resolution

sru icon sru

Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755)

sru-tensorflow icon sru-tensorflow

Training RNNs as fast as CNNs. An unofficial tensorflow implementation.

ssd_keras icon ssd_keras

Port of Single Shot MultiBox Detector to Keras

ssgan-tensorflow icon ssgan-tensorflow

A Tensorflow implementation of Semi-supervised Learning Generative Adversarial Networks (NIPS 2016: Improved Techniques for Training GANs).

stargan icon stargan

PyTorch Implemenation of "StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation"

streamlit icon streamlit

Streamlit — The fastest way to build data apps in Python

sume icon sume

Sume is an implementation of the concept-based ILP model for summarization.

sumeval icon sumeval

Well tested & Multi-language evaluation framework for text summarization.

superae icon superae

Code for "Autoencoder as Assistant Supervisor: Improving Text Representation for Chinese Social Media Text Summarization"

superset icon superset

Apache Superset is a Data Visualization and Data Exploration Platform

surprise icon surprise

A Python scikit for building and analyzing recommender systems

sutdannotator icon sutdannotator

YEDDA: A Lightweight Collaborative Text Span Annotation Tool

tac-entity-linking icon tac-entity-linking

An entity linking prototype, developed using the datasets from the TAC-KBP sub-task.

tacotron icon tacotron

A TensorFlow Implementation of Tacotron: A Fully End-to-End Text-To-Speech Synthesis Model

tacotron2 icon tacotron2

Tacotron 2 - PyTorch implementation with faster-than-realtime inference

tc-bot icon tc-bot

User Simulation for Task-Completion Dialogues

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