449 Open source projects that are alternatives of or similar to Textsum Gan

Code for paper "Sparsely Grouped Multi-task Generative Adversarial Networks for Facial Attribute Manipulation"

PyTorch implementation of Adversarially Learned Inference (BiGAN).

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Python Framework for Extractive Text Summarization

Learn how to process, classify, cluster, summarize, understand syntax, semantics and sentiment of text data with the power of Python! This repository contains code and datasets used in my book, "Text Analytics with Python" published by Apress/Springer.

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A simple PyTorch Implementation of Generative Adversarial Networks, focusing on anime face drawing.

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NIPS 2017: ALICE: Towards Understanding Adversarial Learning for Joint Distribution Matching

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[IMC 2020 (Best Paper Finalist)] Using GANs for Sharing Networked Time Series Data: Challenges, Initial Promise, and Open Questions

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[NeurIPS 2018] [JSAIT] PacGAN: The power of two samples in generative adversarial networks

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This project is an implementation of the Generative Adversarial Network proposed in our CVPR 2017 paper - DeLiGAN : Generative Adversarial Networks for Diverse and Limited Data. DeLiGAN is a simple but effective modification of the GAN framework and aims to improve performance on datasets which are diverse yet small in size.

DNA-GAN: Learning Disentangled Representations from Multi-Attribute Images

SpecGAN - generate audio with adversarial training

On Generating Extended Summaries of Long Documents

GANs for time series generation in pytorch

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videos, lectures, blogs for Deep Learning

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Spectral Normalization for Keras Dense and Convolution Layers

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Discovering Interpretable GAN Controls [NeurIPS 2020]

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based on https://github.com/kwj2104/CPPN-WGAN, but on chineses fonts and improved architecture

Code for the paper: Benhenda, M. 2017. ChemGAN challenge for drug discovery: can AI reproduce natural chemical diversity? arXiv preprint arXiv:1708.08227.

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A web porting for NVlabs' StyleGAN.

Models to perform neural summarization (extractive and abstractive) using machine learning transformers and a tool to convert abstractive summarization datasets to the extractive task.

Official Implementation for "Encoding in Style: a StyleGAN Encoder for Image-to-Image Translation"

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An implementation of skip-thought vectors in Tensorflow