richard-gangan Goto Github PK

-nlp

aiche_dps_mpc_tscrnn

Source code for the paper titled "Nonlinear Model Predictive Control for Distributed Parameter Systems by Time Space Coupled Model Reduction"

autoencoder

Text autoencoder with LSTMs

convlstm-pytorch

Implementation of ConvLSTM in pytorch applied for BCI (Brain Machine Interface) following paper: Convolutional LSTM Network-A Machine Learning Approach for Precipitation Nowcasting

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

deep-learning-with-pytorch-tutorials

深度学习与PyTorch入门实战视频教程 配套源代码和PPT

deep-residual-shrinkage-networks

The deep residual shrinkage network is a variant of deep residual networks.

deeplearning

Deep Learning (Python, C, C++, Java, Scala, Go)

deeplearntoolbox

Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.

lstm_learn

a implement of LSTM using Keras for time series prediction regression problem

nlp-conferences-code

NLP-Conferences-Code (ACL、EMNL、NAACL、COLING、AAAI、IJCAI)

nlp-tutorial

Natural Language Processing Tutorial for Deep Learning Researchers

pt-sdae

PyTorch implementation of SDAE (Stacked Denoising AutoEncoder)

pytorch-deep-neural-networks

pytorch >>> 快速搭建自己的模型！

pytorch-rbm-autoencoder

Pytorch implementation of an autoencoder built from pre-trained Restricted Boltzmann Machines (RBMs)

pytorch_highway_networks

Highway Networks implement in pytorch

seq2seq

Sequence to Sequence Learning with Keras

transferlearning

Everything about Transfer Learning and Domain Adaptation--迁移学习

tutorials

机器学习相关教程