570 Open source projects that are alternatives of or similar to Har Stacked Residual Bidir Lstms

Chatbot in 200 lines of code using TensorLayer

Chinese Poetry Generation

Part-of-Speech Tagger and custom implementations of LSTM, GRU and Vanilla RNN

Reasoning Over Knowledge Graph Paths for Recommendation

🎵 Using Deep Learning to Categorize Music as Time Progresses Through Spectrogram Analysis

Char-level RNN LSTM text generator📄.

A PyTorch Tutorials of Sentiment Analysis Classification (RNN, LSTM, Bi-LSTM, LSTM+Attention, CNN)

Natural Language Processing with TensorFlow, published by Packt

Multi-layer Recurrent Neural Networks (LSTM, RNN) for word-level language models in Python using TensorFlow.

LSTM based human activity recognition using smart phone sensor dataset

End-to-end Automatic Speech Recognition for Madarian and English in Tensorflow

This is a project implementing Computer Vision and Deep Learning concepts to detect drowsiness of a driver and sound an alarm if drowsy.

Tensorflow implementation of Synthetic Gradient for RNN (LSTM)

Train LSTM to writer novel (HongLouMeng here) in Pytorch.

基於DA-RNN之DSTP-RNN論文試做(Ver1.0)

Sequence analyzing using Recurrent Neural Networks (RNN) based on Keras

GPU/CPU (CUDA) Implementation of "Recurrent Memory Array Structures", Simple RNN, LSTM, Array LSTM..

[AAAI 2020] Modeling Personality with Attentive Networks and Contextual Embeddings

End-to-end Automatic Speech Recognition for Madarian and English in Tensorflow

PyTorch implementation of Full Resolution Image Compression with Recurrent Neural Networks

Enhanced BiLSTM Inference Model for Natural Language Inference

分别使用rnn/cnn/rcnn来实现根据患者描述，进行疾病诊断

Easy-to-use Deep LSTM Neural Network to generate song sounds like containing improvisation.

基于RNN生成古诗

A siamese LSTM to detect sentence/question pairs.

Pull stock prices from online API and perform predictions using Long Short Term Memory (LSTM) with TensorFlow.js framework

My solutions for Assignments of CS231n: Convolutional Neural Networks for Visual Recognition

Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

UrbanSound classification using Convolutional Recurrent Networks in PyTorch

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.

BasicOCR是一个致力于解决自然场景文字识别算法研究的项目。该项目由长城数字大数据应用技术研究院佟派AI团队发起和维护。

Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier

Classify Kaggle San Francisco Crime Description into 39 classes. Build the model with CNN, RNN (GRU and LSTM) and Word Embeddings on Tensorflow.

Tutorial for video classification/ action recognition using 3D CNN/ CNN+RNN on UCF101

Hybrid Code Networks https://arxiv.org/abs/1702.03274

An extension on the Hierachical Recurrent Encoder-Decoder for Generative Context-Aware Query Suggestion, our implementation is in Tensorflow and uses an attention mechanism.

All my experiments with AI and ML

Nested LSTM Cell

Recurrent Neural Network and Long Short Term Memory (LSTM) with Connectionist Temporal Classification implemented in Theano. Includes a Toy training example.

Automatic image captioning model based on Caffe, using features from bottom-up attention.

Library of autoencoders for sequential data

A speech denoise lv2 plugin based on RNNoise library

Deep learning codes and projects using Python

Keras implementation of Legendre Memory Units

Sentiment analysis on Amazon Review Dataset available at http://snap.stanford.edu/data/web-Amazon.html

End-to-end speech recognition using RNN Transducers in Tensorflow 2.0

iPython notebook and Android app that shows how to build LSTM model in TensorFlow and deploy it on Android

TensorFlow implemenation of GRu4Rec model

🤖 Neural SPARQL Machines for Knowledge Graph Question Answering.

Multi dimensional LSTM as described in Alex Graves' Paper https://arxiv.org/pdf/0705.2011.pdf

To classify video into various classes using keras library with tensorflow as back-end.

PyTorch Implementation of "A Hierarchical Latent Structure for Variational Conversation Modeling" (NAACL 2018 Oral)

TensorFlow template application for deep learning

Code for Mimicking Word Embeddings using Subword RNNs (EMNLP 2017)

Fast and simple music and audio analysis using RNN in Python 🕵️‍♀️ 🥁

模仿莎士比亚创作戏剧！屌炸天的是还能创作金庸武侠小说！快star，保持更新！！

One Shot Learning using Memory-Augmented Neural Networks (MANN) based on Neural Turing Machine architecture in Tensorflow