snowkylin / Rnn Vae

Tensorflow implementation of conditional variational auto-encoder for MNIST

A curated list of dedicated resources and applications

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

Deep learning image autoencoder that not depends on image resolution

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

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

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

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.

TensorFlow and Deep Learning Tutorials

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

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

Automatic Feature Generation for Website Fingerprinting

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

Machine Reading Comprehension in Tensorflow

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

Deep universal probabilistic programming with Python and PyTorch

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