Luoyonghong
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Multivariate imputation and matrix completion algorithms implemented in Python
Signal forecasting with a Sequence-to-Sequence (seq2seq) Recurrent Neural Network (RNN) model in TensorFlow - Guillaume Chevalier
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, suc…
Awesome paper list with code about generative adversarial nets
Predict stock market prices using RNN model with multilayer LSTM cells + optional multi-stock embeddings.
Generative adversarial networks (GAN) applied to sequential data via recurrent neural networks (RNN).
Unofficial Tensorflow Implementation of AnoGAN (Anomaly GAN)
Tensorflow Implementation of Wasserstein GAN (and Improved version in wgan_v2)
Collection of generative models in Tensorflow
使用PyTorch实现Char RNN生成古诗和周杰伦的歌词
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Sequence to Sequence Models with PyTorch
Models, data loaders and abstractions for language processing, powered by PyTorch
A pytorch implementation of Paper "Improved Training of Wasserstein GANs"
Source code of The Neural Hawkes Process (NIPS 2017)
Python suite to construct benchmark machine learning datasets from the MIMIC-III 💊 clinical database.
Image Completion with Deep Learning in TensorFlow
Image-to-Image Translation in PyTorch
Code for the paper "Adversarially Regularized Autoencoders (ICML 2018)" by Zhao, Kim, Zhang, Rush and LeCun
MIMIC Code Repository: Code shared by the research community for the MIMIC family of databases
Use PyTorch to implement some classic frameworks
Apache Spark - A unified analytics engine for large-scale data processing