Popular GitHub Repositories for Rnn Model

pytorch-kaldi is a project for developing state-of-the-art DNN/RNN hybrid speech recognition systems. The DNN part is managed by pytorch, while feature extraction, label computation, and decoding are performed with the kaldi toolkit.

RNNSharp is a toolkit of deep recurrent neural network which is widely used for many different kinds of tasks, such as sequence labeling, sequence-to-sequence and so on. It's written by C# language and based on .NET framework 4.6 or above versions. RNNSharp supports many different types of networks, such as forward and bi-directional network, sequence-to-sequence network, and different types of layers, such as LSTM, Softmax, sampled Softmax and others.

Recurrent Neural Network (LSTM) by using TensorFlow and Keras in Python for BitCoin price prediction

Time series forecasting using RNN, Twitter Sentiment Analysis and Turtle Trading Strategy applied on Cryptocurrency

A QA System based by BiLSTM. 一个基于双向LSTM的智能问答系统，有交互界面、详细注释、多版本、能运行、文件齐全。

Annabelle the noob. An experimental, incomplete(at present) chatbot.

Built RNNs that can generate sequences based on input data - with a focus on two applications: used real market data in order to predict future Apple stock prices using an RNN model. The second one will be trained on Sir Arthur Conan Doyle's classic novel Sherlock Holmes and generates wacky sentences based on it that may - or may not - become the next great Sherlock Holmes novel.

个人实现pytorch高级编程，包括基本知识、卷积神经网络、循环神经网络、生成对抗、模型部署和分布式训练（2022)

Solar Irradiance Forecasting Using Deep Learning Techniques

Char-RNN generated Dr. Seuss

An attention mechanism implementation based on keras with theano as backend.

This repository provides a basic implementation of self-attention. The code demonstrates how attention mechanisms work in predicting the next word in a sequence. It's a basic implementation that demonstrates the core concept of attention but lacks the complexity of more advanced models like Transformers.

Simple music generation rnn. Update/Built untop of MattVitelli/GRUV and unnati-xyz/music-generation

Generating music using a character-level Recurrent Neural Network.

This repository hosts the final project for the Neural Network for Data Science exam, as part of the Master’s degree in Data Science at Sapienza University of Rome

Text Generator and CNN Image Classifier

Use RNN (LSTM) to predict stock and generate text

This repository focuses on building Time Series Model (Recurrent Neural Network- LSTM) to predict the stock price of the Apple.Long Short-Term Memory (LSTM) networks are a type of recurrent neural network capable of learning order dependence in sequence prediction problems that involves time series related events