1910 Open source projects that are alternatives of or similar to Ner Lstm

A Natural Language Toolkit for Indian Languages

Curated List of Persian Natural Language Processing and Information Retrieval Tools and Resources

PyTorch tutorial for learners

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

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

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.

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.

A Python package for gender classification.

List of papers, code and experiments using deep learning for time series forecasting

Visualizing RNNs using the attention mechanism

Application of machine learning to the Coinbase (GDAX) orderbook

name entity recognition with recurrent neural network(RNN) in tensorflow

Multitask Deep Learning for Sentiment Analysis using Character-Level Language Model, Bi-LSTMs for POS Tag, Chunking and Unsupervised Dependency Parsing. Inspired by this great article https://arxiv.org/abs/1611.01587

The Official Deep Learning Framework for Route-based Place Recognition

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

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

Deep neural models for core NLP tasks (Pytorch version)

A PyTorch implementation of GraphRel

Implementation of character based convolutional neural network

Dilated CNNs for NER in TensorFlow

A curated list of dedicated resources and applications

🚀 Catalyst is a C# Natural Language Processing library built for speed. Inspired by spaCy's design, it brings pre-trained models, out-of-the box support for training word and document embeddings, and flexible entity recognition models.

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

Sequence Labeling in Tensorflow

Deep Character CNN LSTM Encoder with Classification and Similarity Models

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).

Tensorflow implementation of "Tracking the World State with Recurrent Entity Networks" [https://arxiv.org/abs/1612.03969] by Henaff, Weston, Szlam, Bordes, and LeCun.

Implementations for a family of attention mechanisms, suitable for all kinds of natural language processing tasks and compatible with TensorFlow 2.0 and Keras.

中文分词 词性标注 命名实体识别 依存句法分析 新词发现 关键词短语提取 自动摘要 文本分类聚类 拼音简繁 自然语言处理

Named Entity Recognition based on dictionaries

Tool for interactive embeddings visualization

KoBERT와 CRF로 만든 한국어 개체명인식기 (BERT+CRF based Named Entity Recognition model for Korean)

Named-Entity Recognition in Persian Language

Toolkit to obtain and preprocess german corpora, train models using word2vec (gensim) and evaluate them with generated testsets

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

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

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

Using LSTM network for time series forecasting

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

Sentiment Analysis: Deep Bi-LSTM+attention model

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

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

(BOW, TF-IDF, Word2Vec, BERT) Word Embeddings + (SVM, Naive Bayes, Decision Tree, Random Forest) Base Classifiers + Pre-trained BERT on Tensorflow Hub + 1-D CNN and Bi-Directional LSTM on IMDB Movie Reviews Dataset

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

Word Embeddings for Information Retrieval

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

🥕 Evolutionary Neural Networks in JavaScript

chatbot_ner: Named Entity Recognition for chatbots.

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.

Tensorflow implementation of Synthetic Gradient for RNN (LSTM)

TensorFlow implementation of "Tracking the World State with Recurrent Entity Networks".

A curated list of awesome Distributed Deep Learning resources.

ByteNet for character-level language modelling

This repo contains the source code in my personal column (https://zhuanlan.zhihu.com/zhaoyeyu), implemented using Python 3.6. Including Natural Language Processing and Computer Vision projects, such as text generation, machine translation, deep convolution GAN and other actual combat code.

⏰ AI conference deadline countdowns

A Vietnamese natural language processing toolkit (NAACL 2018)

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

Named Entity Recognition

Anomaly detection implemented in Keras

Example of Multiple Multivariate Time Series Prediction with LSTM Recurrent Neural Networks in Python with Keras.