844 Open source projects that are alternatives of or similar to Rnnsharp

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

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

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)

Tensorflow implementation of Synthetic Gradient for RNN (LSTM)

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

NCRF++, a Neural Sequence Labeling Toolkit. Easy use to any sequence labeling tasks (e.g. NER, POS, Segmentation). It includes character LSTM/CNN, word LSTM/CNN and softmax/CRF components.

PyTorch tutorial for learners

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

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

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

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

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.

The Official Deep Learning Framework for Route-based Place Recognition

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

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).

LSTM based human activity recognition using smart phone sensor dataset

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

Sequence Labeling in Tensorflow

This repo contains a PyTorch implementation of a BiLSTM-CRF model for named entity recognition task.

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

Enhanced BiLSTM Inference Model for Natural Language Inference

🥕 Evolutionary Neural Networks in JavaScript

基於DA-RNN之DSTP-RNN論文試做(Ver1.0)

Word Sense Disambiguation using Word Specific models, All word models and Hierarchical models in Tensorflow

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

Computer-generated poetry

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

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

Alternative approach for Adaptive Computation Time in TensorFlow

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..

Comparing Fixed and Adaptive Computation Time for Recurrent Neural Networks

Neural networks library for machine learning on PHP

KU_NERDY 이동엽, 임희석 (2017 국어 정보 처리 시스템경진대회 금상) - 한글 및 한국어 정보처리 학술대회

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

Using LSTM network for time series forecasting

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

Chinese word segmentation in tensorflow 2.x

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Online Hand Writing Recognition using BLSTM

rnn trained on r/totallynotrobots 🤖

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

从模型训练到部署，实战知识图谱(Knowledge Graph)&自然语言处理(NLP)。涉及 Tensorflow, Bert+Bi-LSTM+CRF,Neo4j等 涵盖 Named Entity Recognition,Text Classify,Information Extraction,Relation Extraction 等任务。

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

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

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

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

LSTM+CRF NER

Deep Learning

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

PyTorch/Tensorflow solutions for Stanford's CS231n: "CNNs for Visual Recognition"

A siamese LSTM to detect sentence/question pairs.

Empower Sequence Labeling with Task-Aware Neural Language Model | a PyTorch Tutorial to Sequence Labeling

CPU and GPU implementations of some 2D RNN layers

分别使用rnn/cnn/rcnn来实现根据患者描述，进行疾病诊断

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