593 Open source projects that are alternatives of or similar to Pytorch-POS-Tagger

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

Keras tutorial for beginners (using TF backend)

RNN and general weights, gradients, & activations visualization in Keras & TensorFlow

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

Recurrent Additive Networks for Tensorflow

Word Embedding + LSTM + FC

Haste: a fast, simple, and open RNN library

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

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

Deep Learning

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

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

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.

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

Reasoning Over Knowledge Graph Paths for Recommendation

The project uses state of the art deep learning on collected data for automatic analysis of emotions.

Natural Language Processing with TensorFlow, published by Packt

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

UrbanSound classification using Convolutional Recurrent Networks in PyTorch

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

分别使用rnn/cnn/rcnn来实现根据患者描述，进行疾病诊断

language models toolkits with hierarchical softmax setting

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

RNN(LSTM, GRU) in Theano with mini-batch training; character-level language models in Theano

A siamese LSTM to detect sentence/question pairs.

Nested LSTM Cell

[PAMI 2021] Gating Revisited: Deep Multi-layer RNNs That Can Be Trained

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

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

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

Sign Language Gesture Recognition From Video Sequences Using RNN And CNN

Traffic Flow Prediction with Neural Networks(SAEs、LSTM、GRU).

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

CPU and GPU implementations of some 2D RNN layers

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

Deep learning driven jazz generation using Keras & Theano!

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.

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

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

LSTM based human activity recognition using smart phone sensor dataset

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

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.

Enhanced BiLSTM Inference Model for Natural Language Inference

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

基於DA-RNN之DSTP-RNN論文試做(Ver1.0)

Keras and PyTorch implementations of the MaLSTM model for computing Semantic Similarity.

RNN-LSTM that learns passwords from a starting list

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

Online Hand Writing Recognition using BLSTM

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

Official repo of the article: Yousef, W. A., Ibrahime, O. M., Madbouly, T. M., & Mahmoud, M. A. (2019), "Learning meters of arabic and english poems with recurrent neural networks: a step forward for language understanding and synthesis", arXiv preprint arXiv:1905.05700

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

rnn trained on r/totallynotrobots 🤖

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).

CNN, RNN, and Bayesian NN classification for ECG time-series (using TensorFlow in Swift and Python)

This is my graduation project in BIT. Title: Noise Reduction Using GRU.

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

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

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

LSTM, GRU cell implementation from scratch in tensorflow