557 Open source projects that are alternatives of or similar to Deep_srl

AIOpen是一个按人工智能三要素（数据、算法、算力）进行AI开源项目分类的汇集项目，项目致力于跟踪目前人工智能（AI）的深度学习（DL）开源项目，并尽可能地罗列目前的开源项目，同时加入了一些曾经研究过的代码。通过这些开源项目，使初次接触AI的人们对人工智能（深度学习）有更清晰和更全面的了解。

Implementation of a hierarchical CNN based model to detect Big Five personality traits

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

Deep learning driven jazz generation using Keras & Theano!

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

使用Theano实现的一些RNN代码，包括最基本的RNN，LSTM，以及部分Attention模型，如论文MLSTM等

R, Python and Mathematica Codes in Machine Learning, Deep Learning, Artificial Intelligence, NLP and Geolocation

🔬 Nano size Theano LSTM module

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

Text classification with Reuters-21578 datasets using Gensim Word2Vec and Keras LSTM

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

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

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

Sentence paraphrase generation at the sentence level

Explaining textual analysis tools in Python. Including Preprocessing, Skip Gram (word2vec), and Topic Modelling.

Keras package for deep residual networks

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

rnn trained on r/totallynotrobots 🤖

Word semantics Deep Learning with Vanilla Python, Keras, Theano, TensorFlow, PyTorch

VirNet: A deep attention model for viral reads identification

A lightweight web-based annotation tool for labelling entity recognition data.

The RWTH extensible training framework for universal recurrent neural networks

Cryptocurrency Price Prediction Using LSTM neural network

an tutorial implement of voice conversion using pytorch

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Rails gem to manage tags with PostgreSQL array columns.

State of the art Chinese Word Segmentation with Bi-LSTMs

Neural network visualization toolkit for keras

PyTorch implementation of a 2D-LSTM Seq2Seq Model for NMT.

Deep Semantic Role Labeling with Self-Attention

A pytorch implemention of "StyleNet: Generating Attractive Visual Captions with Styles"

🥕 Evolutionary Neural Networks in JavaScript

Video lstm auto encoder built with pytorch. https://arxiv.org/pdf/1502.04681.pdf

A lightweight, vanilla javascript select box replacement. No dependencies.

Seperate vietnamese using lstm

A LSTM model using Risk Estimation loss function for stock trades in market

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。

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.

Repository for the experiments described in the paper named "DeepSentiPers: Novel Deep Learning Models Trained Over Proposed Augmented Persian Sentiment Corpus"

LSTM based on go and gorgonia

An open-source sleep stage classification Python package

A collection of UNet and hybrid architectures in PyTorch for 2D and 3D Biomedical Image segmentation

YAPO e+ - Yet Another Porn Organizer (extended)

Thio - a playground for real-time anomaly detection

Deep Neural Network for Sentiment Analysis on Twitter

Implementation of the reweighted wake-sleep machine learning algorithm

Tensorflow implementation of Synthetic Gradient for RNN (LSTM)

Pytorch implementation of HTR on IAM dataset (word or line level + CTC loss)

Core functionality for the Autonomio augmented intelligence workbench.

stock predict by cnn and lstm

Documentation:

Remaining Useful Life (RUL) estimation of Lithium-ion batteries using deep LSTMs

Image Captioning using InceptionV3 and beam search

The On-Ramp to Deep Learning

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

Persian sentiment analysis ( آناکاوی سهش های فارسی | تحلیل احساسات فارسی )

Fast and accurate sequence demultiplexing

Selectize-like component written in Svelte, also usable as custom-element 💪⚡

LSTM RNN for sentiment-based stock prediction