1537 Open source projects that are alternatives of or similar to Seqgan

[CVPR 2020] Local Class-Specific and Global Image-Level Generative Adversarial Networks for Semantic-Guided Scene Generation

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A stable algorithm for GAN training

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TextGAN is a PyTorch framework for Generative Adversarial Networks (GANs) based text generation models.

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Spectral Normalization for Keras Dense and Convolution Layers

Semantic Image Inpainting

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Generate Cartoon Images using Generative Adversarial Network

Train a StyleGAN2 model on Colaboratory to generate Steam banners.

The source code of CVPR 2019 paper "Deep Exemplar-based Video Colorization".

An extremely simple generative adversarial network, built with TensorFlow

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Keras implementation of 3D Generative Adversarial Network.

Official Repository for 'Practical Natural Language Processing' by O'Reilly Media

API of Articut 中文斷詞 (兼具語意詞性標記)：「斷詞」又稱「分詞」，是中文資訊處理的基礎。Articut 不用機器學習，不需資料模型，只用現代白話中文語法規則，即能達到 SIGHAN 2005 F1-measure 94% 以上，Recall 96% 以上的成績。

🤗 AutoNLP: train state-of-the-art natural language processing models and deploy them in a scalable environment automatically

T2F: text to face generation using Deep Learning

The Simplest DCGAN Implementation

Generative Adversarial Networks in PyTorch

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Annotated, understandable, and visually interpretable PyTorch implementations of: VAE, BIRVAE, NSGAN, MMGAN, WGAN, WGANGP, LSGAN, DRAGAN, BEGAN, RaGAN, InfoGAN, fGAN, FisherGAN

The official implementation of our SIGGRAPH 2020 paper Interactive Video Stylization Using Few-Shot Patch-Based Training

Generative Adversarial Network that learns to generate handwritten digits. (Learning Purposes)

Official Pytorch implementation of Adversarial Segmentation Loss for Sketch Colorization [ICIP 2021]

TriangleGAN, ACM MM 2019.

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🏇 聊天机器人，自然语言理解，语义理解

Generate text boxes from input words with a GAN.

Invert the color of MNIST images with PyTorch

Unofficial implementation of StyleGAN's generator

[TIP2020] Pytorch implementation of "Towards Unsupervised Deep Image Enhancement with Generative Adversarial Network"

Deep Learning Super Sampling with Deep Convolutional Generative Adversarial Networks.

Generative Models Tutorial with Demo: Bayesian Classifier Sampling, Variational Auto Encoder (VAE), Generative Adversial Networks (GANs), Popular GANs Architectures, Auto-Regressive Models, Important Generative Model Papers, Courses, etc..

Face generator from sketches using cGAN (pix2pix) model

A curated list of Open Information Extraction (OIE) resources: papers, code, data, etc.

A denoising autoencoder + adversarial losses and attention mechanisms for face swapping.

GAN in Tensorflow to be run via Linux command line

Synthetic Data Generation for tabular, relational and time series data.

Code for deep generative prior (ECCV2020 oral)

This repo contains the source code in my personal column (https://zhuanlan.zhihu.com/zhaoyeyu), implemented using Python 3.6. Including Natural Language Processing and Computer Vision projects, such as text generation, machine translation, deep convolution GAN and other actual combat code.

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A modern PyTorch implementation of SRGAN

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Pytorch implementation of Generative Adversarial Networks (GAN) and Deep Convolutional Generative Adversarial Networks (DCGAN) for MNIST and CelebA datasets

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由淺入深的深度學習資源 Collection of deep learning materials for everyone

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An open platform for artificial intelligence, chat bots, virtual agents, social media automation, and live chat automation.