927 Open source projects that are alternatives of or similar to hcn

Haste: a fast, simple, and open RNN library

CPU and GPU implementations of some 2D RNN layers

Using deep stacked residual bidirectional LSTM cells (RNN) with TensorFlow, we do Human Activity Recognition (HAR). Classifying the type of movement amongst 6 categories or 18 categories on 2 different datasets.

A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.

rnn trained on r/totallynotrobots 🤖

Source code of CHAMELEON - A Deep Learning Meta-Architecture for News Recommender Systems

Lightweight C++11 library for building deep recurrent neural networks

A modular library built on top of Keras and TensorFlow to generate a caption in natural language for any input image.

Enhanced BiLSTM Inference Model for Natural Language Inference

Online Hand Writing Recognition using BLSTM

A visualization tool for understanding and debugging RNNs

DSTC6: End-to-End Conversation Modeling Track

Music genre classification with LSTM Recurrent Neural Nets in Keras & PyTorch

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

Pytorch implementation of "Attention-Based Recurrent Neural Network Models for Joint Intent Detection and Slot Filling" (https://arxiv.org/abs/1609.01454)

Natural Language Processing with TensorFlow, published by Packt

UrbanSound classification using Convolutional Recurrent Networks in PyTorch

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

Sign Language Gesture Recognition From Video Sequences Using RNN And CNN

Recurrent Additive Networks for Tensorflow

RNN-LSTM that learns passwords from a starting list

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

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

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

ConvLSTM/ConvGRU (Encoder-Decoder) with PyTorch on Moving-MNIST

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

基於關聯式新聞提取方法之雙階段注意力機制模型用於股票預測

Chinese Poetry Generation

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.

A Bitcoin trade robot based on Tensorflow LSTM model.Just for fun.

Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch. Based on code of https://github.com/karpathy/char-rnn. Support Chinese and other things.

A cute multi-layer LSTM that can perform like a human 🎶

Tensorflow Implementation of Densely Connected Bidirectional LSTM with Applications to Sentence Classification

PyTorch implementation of Full Resolution Image Compression with Recurrent Neural Networks

Sequence Models by Andrew Ng on Coursera. Programming Assignments and Quiz Solutions.

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

Tutorials on getting started with PyTorch and TorchText for sentiment analysis.

Reasoning Over Knowledge Graph Paths for Recommendation

Nested LSTM Cell

Efficient, transparent deep learning in hundreds of lines of code.

Deep learning driven jazz generation using Keras & Theano!

基于RNN生成古诗

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

Hands-on in-person workshop for Deep Learning with TensorFlow

分别使用rnn/cnn/rcnn来实现根据患者描述，进行疾病诊断

LSTM based human activity recognition using smart phone sensor dataset

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

基於DA-RNN之DSTP-RNN論文試做(Ver1.0)

Speaker Diarization is the problem of separating speakers in an audio. There could be any number of speakers and final result should state when speaker starts and ends. In this project, we analyze given audio file with 2 channels and 2 speakers (on separate channels).

Query-Reduction Networks (QRN)

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

Recurrent Neural Networks (RNN, GRU, LSTM) and their Bidirectional versions (BiRNN, BiGRU, BiLSTM) for word & character level language modelling in Theano

A siamese LSTM to detect sentence/question pairs.

Electric load forecast using Long-Short-Term-Memory (LSTM) recurrent neural network

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。

Predicting price trends in cryptomarkets using an lstm-RNN for the use of a trading bot

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

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

Deep Learning

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