613 Open source projects that are alternatives of or similar to Rnn Vae

An ES6 utility for canvas with built-in functions and chained methods.

Deep learning image autoencoder that not depends on image resolution

A collection of generative methods implemented with TensorFlow (Deep Convolutional Generative Adversarial Networks (DCGAN), Variational Autoencoder (VAE) and DRAW: A Recurrent Neural Network For Image Generation).

Focal Frequency Loss for Generative Models

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

도서 "핸즈온 머신러닝"의 예제와 연습문제를 담은 주피터 노트북입니다.

A curated list of dedicated resources and applications

Tensorflow implementation of conditional variational auto-encoder for MNIST

TensorFlow and Deep Learning Tutorials

Learning about Haskell with Variational Autoencoders

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.

Automatic Feature Generation for Website Fingerprinting

Contrastive unpaired image-to-image translation, faster and lighter training than cyclegan (ECCV 2020, in PyTorch)

Image doodle for Android, with functions such as undo, zoom, move, text, image, etc. Also a powerful, customizable and extensible doodle framework & multi-function drawing board. Android图片涂鸦，具有撤消，缩放，移动，添加文字，贴图等功能。还是一个功能强大，可自定义和可扩展的涂鸦框架、多功能画板。

Variational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow)

Platform for backtesting and live-trading intraday Stock/ETF/ELW using recurrent neural networks

For recognising hand gestures using RNN and LSTM... Implementation in TensorFlow

Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.

💻 Make machines learn so that you don't have to struggle to program them; The ultimate list

✏️ A React Component for plans design. Draw a 2D floorplan and navigate it in 3D mode.

Next RecSys Library

Pytorch implementation of MixNMatch

Official PyTorch implementation of paper "A Hybrid Compact Neural Architecture for Visual Place Recognition" by M. Chancán (RA-L & ICRA 2020) https://doi.org/10.1109/LRA.2020.2967324

PyTorch Implementation of the RDPG (Recurrent Deterministic Policy Gradient)

[NeurIPS 2020] Differentiable Augmentation for Data-Efficient GAN Training

Online collaborative Whiteboard that is simple, free, easy to use and to deploy

name entity recognition with recurrent neural network(RNN) in tensorflow

draw line, draw dash line, draw star, draw rect, draw dash rect, gradientLayer 画线，画虚线，画五角星，画矩形，画虚线矩形，渐变色，椭圆（圆），圆角矩形

Android OpenGL 2.0 application to view 3D models. Published on Play Store

This is just a collection of projects that made during my DEEPLEARNING NANODEGREE by UDACITY

List of papers, code and experiments using deep learning for time series forecasting

Machine Reading Comprehension in Tensorflow

Boltzmann Machines in TensorFlow with examples

Deep universal probabilistic programming with Python and PyTorch

Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Aesara

parsing scene images with understanding geometric perspective in the loop

Books, Presentations, Workshops, Notebook Labs, and Model Zoo for Software Engineers and Data Scientists wanting to learn the TF.Keras Machine Learning framework

TensorFlow Implementation of Unsupervised Cross-Domain Image Generation

Visualizing RNNs using the attention mechanism

Text classifier for Hierarchical Attention Networks for Document Classification

침착한 생성모델 학습기

An implementation of zoneout regularizer on LSTM-RNN by Tensorflow

Visualization Toolbox for Long Short Term Memory networks (LSTMs)

让你的“女神”逆袭，代码撸彩妆（画妆）

Given an image and a target viewpoint, generate synthetic image in the target viewpoint

A collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explanation/interpretability. Analysis of incorporating label feedback with ensemble and tree-based detectors. Includes adversarial attacks with Graph Convolutional Network.

RNN-based generative models for speech.

Ipython Notebooks for solving problems like classification, segmentation, generation using latest Deep learning algorithms on different publicly available text and image data-sets.

Machine Learning on Sequential Data Using a Recurrent Weighted Average

Scalable Training of Inference Networks for Gaussian-Process Models, ICML 2019

THEANO-KALDI-RNNs is a project implementing various Recurrent Neural Networks (RNNs) for RNN-HMM speech recognition. The Theano Code is coupled with the Kaldi decoder.

Advanced Deep Learning with Keras, published by Packt

Deep Reinforcement Learning based Trading Agent for Bitcoin

A clean and readable Pytorch implementation of CycleGAN

Sample code for the NIPS paper "Scalable Variational Inference for Dynamical Systems"

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

VIP cheatsheets for Stanford's CS 230 Deep Learning

Deep learning for price movement prediction using high frequency limit order data