822 Open source projects that are alternatives of or similar to Tensorflow Vae Gan Draw

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

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

Collection of generative models in Tensorflow

Comparison of Generative Models in Tensorflow

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Stochastic Adversarial Video Prediction

iSeeBetter: Spatio-Temporal Video Super Resolution using Recurrent-Generative Back-Projection Networks | Python3 | PyTorch | GANs | CNNs | ResNets | RNNs | Published in Springer Journal of Computational Visual Media, September 2020, Tsinghua University Press

Variational Autoencoder with Recurrent Neural Network based on Google DeepMind's "DRAW: A Recurrent Neural Network For Image Generation"

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

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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.

Unofficial PyTorch Implementation of SUM-GAN from "Unsupervised Video Summarization with Adversarial LSTM Networks" (CVPR 2017)

Paper collection of Neural Text Generation

Python package with source code from the course "Creative Applications of Deep Learning w/ TensorFlow"

This repository contains model-free deep reinforcement learning algorithms implemented in Pytorch

👔👗🕶️🎩 Cool resources about Fashion + AI! (papers, datasets, workshops, companies, ...) (constantly updating)

Gluon CV Toolkit

PyTorch implementation of GAN-based text-to-speech synthesis and voice conversion (VC)

📈📊🚀🚀🚀An elegant modern declarative data visualization chart framework for iOS, iPadOS and macOS. Extremely powerful, supports line, spline, area, areaspline, column, bar, pie, scatter, angular gauges, arearange, areasplinerange, columnrange, bubble, box plot, error bars, funnel, waterfall and polar chart types. 极其精美而又强大的跨平台数据可视化图表框架,支持柱状图、条形图、折…

Connectionist Temporal Classification (CTC) decoding algorithms: best path, prefix search, beam search and token passing. Implemented in Python.

Generative Adversarial Text to Image Synthesis / Please Star -->

MelGAN vocoder (compatible with NVIDIA/tacotron2)

Create Animated Drawings in Rust

《Deep Learning》《深度学习》 by Ian Goodfellow, Yoshua Bengio and Aaron Courville

Sequence prediction using recurrent neural networks(LSTM) with TensorFlow

PyTorch Re-Implementation of "Generating Sentences from a Continuous Space" by Bowman et al 2015 https://arxiv.org/abs/1511.06349

A Portable Graphic Format for TeX

A TensorFlow implementation of Recurrent Neural Networks for Sequence Classification and Sequence Labeling

Named Entity Recognition using multilayered bidirectional LSTM

[CVPR 2020 Workshop] A PyTorch GAN library that reproduces research results for popular GANs.

A simplified PyTorch implementation of "SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient." (Yu, Lantao, et al.)

🌏 FreeDraw allows the free-hand drawing of shapes on your Leaflet.js map layer – providing an intuitive and familiar UX for creating geospatial boundaries similar to Zoopla and others. Included out-of-the-box is the concaving of polygons, polygon merging and simplifying, as well as the ability to add edges and modify existing shapes.

Resources on Music Generation with Deep Learning

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

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A collection of deep learning tutorials using Tensorflow and Python

Char-RNN implemented using TensorFlow.

T2F: text to face generation using Deep Learning

a tensorflow implementation of WGAN

ProGAN package implemented as an extension of PyTorch nn.Module

Top 100 trending deep learning repositories sorted by the number of stars gained on a specific day.

PyTorch implementation of Progressive Growing of GANs for Improved Quality, Stability, and Variation.

A bidirectional recurrent neural network model with attention mechanism for restoring missing punctuation in unsegmented text

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Tensorflow implementation of variational auto-encoder for MNIST

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Recurrent (conditional) generative adversarial networks for generating real-valued time series data.

Keras, PyTorch, and NumPy Implementations of Deep Learning Architectures for NLP

Implementation of Apple's Learning from Simulated and Unsupervised Images through Adversarial Training

深度学习入门教程, 优秀文章, Deep Learning Tutorial

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Pytorch implementation of LARGE SCALE GAN TRAINING FOR HIGH FIDELITY NATURAL IMAGE SYNTHESIS (BigGAN)