Hierarchical Attention Networks for Chinese Sentiment Classification

A tutorial on how to implement models for part-of-speech tagging using PyTorch and TorchText.

Detecting emotions using MFCC features of human speech using Deep Learning

All my experiments with AI and ML

Bitcoin price Prediction ( Time Series ) using LSTM Recurrent neural network

My Attempt(s) In The World Of ML/DL....

Datasets, tools, and benchmarks for representation learning of code.

implementing "recurrent attentive neural processes" to forecast power usage (w. LSTM baseline, MCDropout)

A recurrent attention module consisting of an LSTM cell which can query its own past cell states by the means of windowed multi-head attention. The formulas are derived from the BN-LSTM and the Transformer Network. The LARNN cell with attention can be easily used inside a loop on the cell state, just like any other RNN. (LARNN)

1st place solution

中文聊天机器人，基于10万组对白训练而成，采用注意力机制，对一般问题都会生成一个有意义的答复。已上传模型，可直接运行，跑不起来直播吃键盘。

TensorFlow Tutorial for Time Series Prediction

RNN(SimpleRNN, LSTM, GRU) Tensorflow2.0 & Keras Notebooks (Workshop materials)

Implementation of the paper - Generative Recurrent Networks for De Novo Drug Design.

All about Neural Networks!

PyTorch tutorial for learners

Load forcasting on Delhi area electric power load using ARIMA, RNN, LSTM and GRU models

Code for Tensorflow Machine Learning Cookbook

Sentiment Analysis with LSTMs in Tensorflow

使用PyTorch实现Char RNN生成古诗和周杰伦的歌词