299 Open source projects that are alternatives of or similar to Vae Lagging Encoder

Implemented Variational Autoencoder generative model in Keras for image generation and its latent space visualization on MNIST and CIFAR10 datasets

Text Variational Autoencoder inspired by the paper 'Generating Sentences from a Continuous Space' Bowman et al. https://arxiv.org/abs/1511.06349

[CVPR 2021 Oral] Official PyTorch implementation of Soft-IntroVAE from the paper "Soft-IntroVAE: Analyzing and Improving Introspective Variational Autoencoders"

DeepNude's algorithm and general image generation theory and practice research, including pix2pix, CycleGAN, UGATIT, DCGAN, SinGAN, ALAE, mGANprior, StarGAN-v2 and VAE models (TensorFlow2 implementation). DeepNude的算法以及通用生成对抗网络（GAN,Generative Adversarial Network）图像生成的理论与实践研究。

Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.

DELTA is a deep learning based natural language and speech processing platform.

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

Discovering Interpretable GAN Controls [NeurIPS 2020]

Focal Frequency Loss for Generative Models

ICface: Interpretable and Controllable Face Reenactment Using GANs

Code for "Semantic Object Accuracy for Generative Text-to-Image Synthesis" (TPAMI 2020)

Code for "MojiTalk: Generating Emotional Responses at Scale" https://arxiv.org/abs/1711.04090

Pytorch implementation of "One-Shot Unsupervised Cross Domain Translation" NIPS 2018

Facial Expression Editing with Controllable Expression Intensity

Summarization, translation, sentiment-analysis, text-generation and more at blazing speed using a T5 version implemented in ONNX.

Comparison of Generative Models in Tensorflow

Machine Learning and having it Deep and Structured (MLDS) in 2018 spring

PyTorch implementation of DRAW: A Recurrent Neural Network For Image Generation trained on Devanagari dataset.

A Collection of Variational Autoencoders (VAE) in PyTorch.

O-GAN: Extremely Concise Approach for Auto-Encoding Generative Adversarial Networks

Large-scale pretraining for dialogue

A Tensorflow implementation of Deep Convolutional Generative Adversarial Networks trained on Fashion-MNIST, CIFAR-10, etc.

MATLAB implementations of Generative Adversarial Networks -- from GAN to Pixel2Pixel, CycleGAN

Tensorflow implementation of conditional variational auto-encoder for MNIST

Deep Learning sample programs using PyTorch in C++

Protein function prediction using a variational autoencoder

Turn your two-bit doodles into fine artworks with deep neural networks, generate seamless textures from photos, transfer style from one image to another, perform example-based upscaling, but wait... there's more! (An implementation of Semantic Style Transfer.)

[ACM MM 2018 Oral] GestureGAN for Hand Gesture-to-Gesture Translation in the Wild

Tacotron 2 - PyTorch implementation with faster-than-realtime inference modified to enable cross lingual voice cloning.

pre-training and fine-tuning framework for text generation

Handle class imbalance intelligently by using variational auto-encoders to generate synthetic observations of your minority class.

Example projects I completed to understand Deep Learning techniques with Tensorflow. Please note that I do no longer maintain this repository.

Source code and dataset for KDD 2019 paper "Towards Knowledge-Based Personalized Product Description Generation in E-commerce"

PWA asset generator perfect with VueJS framework (but useful for all PWA!)

State Representation Learning (SRL) zoo with PyTorch - Part of S-RL Toolbox

GPT2 for Multiple Languages, including pretrained models. GPT2 多语言支持, 15亿参数中文预训练模型

[ECCV 2020 Spotlight] A Simple and Versatile Framework for Image-to-Image Translation

A Tensorfflow implementation of Attend, Infer, Repeat

🔥 Korean GPT-2, KoGPT2 FineTuning cased. 한국어 가사 데이터 학습 🔥

GPT2 for Chinese chitchat/用于中文闲聊的GPT2模型(实现了DialoGPT的MMI思想)

Embedding, NMT, Text_Classification, Text_Generation, NER etc.

Variational Autoencoder trained by Feature Perceputal Loss

A Tensorflow implementation of a Variational Autoencoder for the deep learning course at the University of Southern California (USC).

Image Caption and Text to Image papers.

Code for EMNLP18 paper "Spherical Latent Spaces for Stable Variational Autoencoders"

Image-to-image translation with conditional adversarial nets

NLP and Text Generation Experiments in TensorFlow 2.x / 1.x

A generic markov chain implementation in Rust.

Blend beats using machine learning to create music in a fun new way.

Automatic Generation of Brief Summaries of Time-Series Data

Easy generative modeling in PyTorch.

Official Implementation of the paper "A U-Net Based Discriminator for Generative Adversarial Networks" (CVPR 2020)

Implementation of the paper : "Toward Multimodal Image-to-Image Translation"

Automates PWA asset generation and image declaration. Automatically generates icon and splash screen images, favicons and mstile images. Updates manifest.json and index.html files with the generated images according to Web App Manifest specs and Apple Human Interface guidelines.

Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation

Easily create PDF and images in Symfony by converting html using webkit

Kadot, the unsupervised natural language processing library.

Set up the CTRL text-generating model on Google Compute Engine with just a few console commands.