738 Open source projects that are alternatives of or similar to tiny-rnn

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

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.

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

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

Tensorflow implementation of Synthetic Gradient for RNN (LSTM)

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

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)

PyTorch tutorial for learners

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

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.

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

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

The Official Deep Learning Framework for Route-based Place Recognition

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).

Use tensorflow's tf.scan to build vanilla, GRU and LSTM RNNs

A neural network to generate captions for an image using CNN and RNN with BEAM Search.

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

A Keras library for multi-step time-series forecasting.

A bidirectional LSTM with attention for multiclass/multilabel text classification.

This project seeks to utilize Deep Learning models, Long-Short Term Memory (LSTM) Neural Network algorithm, to predict stock prices.

Keras implementation of Legendre Memory Units

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

iSeeBetter: Spatio-Temporal Video Super Resolution using Recurrent-Generative Back-Projection Networks | Python3 | PyTorch | GANs | CNNs | ResNets | RNNs | Published in Springer Journal of Computational Visual Media, September 2020, Tsinghua University Press

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

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

News summarization using sequence to sequence model with attention in TensorFlow.

Human activity recognition using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six categories (WALKING, WALKING_UPSTAIRS, WALKING_DOWNSTAIRS, SITTING, STANDING, LAYING).

Probabilistic Dialogue Act Classification for the Switchboard Corpus using an LSTM model

rnn trained on r/totallynotrobots 🤖

Tensorflow Implementation of Recurrent Neural Network (Vanilla, LSTM, GRU) for Text Classification

Plain Stock Close-Price Prediction via Graves LSTM RNNs

<머신러닝 교과서 with 파이썬, 사이킷런, 텐서플로>의 코드 저장소

[DEPRECATED] A Neural Network based generative model for captioning images using Tensorflow

A siamese LSTM to detect sentence/question pairs.

Deep learning codes and projects using Python

Anomaly detection for temporal data using LSTMs

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

Enhanced BiLSTM Inference Model for Natural Language Inference

Using LSTM network for time series forecasting

Alternative approach for Adaptive Computation Time in TensorFlow

Comparing Fixed and Adaptive Computation Time for Recurrent Neural Networks

Python library for Reservoir Computing using Echo State Networks

RNN-LSTM that learns passwords from a starting list

Recurrent Additive Networks for Tensorflow

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

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

A variational implementation of classical and quantum annealing using recurrent neural networks for the purpose of solving optimization problems.

Deep-learning model presented in "DataStories at SemEval-2017 Task 6: Siamese LSTM with Attention for Humorous Text Comparison".

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

Online Hand Writing Recognition using BLSTM

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

基於DA-RNN之DSTP-RNN論文試做(Ver1.0)

Malicious URL detector using keras recurrent networks and scikit-learn classifiers

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

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

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

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

Deep Learning

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

Neural machine translator for English2German translation.