913 Open source projects that are alternatives of or similar to Kprn

Open Source REST API for named entity extraction, named entity linking, named entity disambiguation, recommendation & reconciliation of entities like persons, organizations and places for (semi)automatic semantic tagging & analysis of documents by linked data knowledge graph like SKOS thesaurus, RDF ontology, database(s) or list(s) of names

Train an LSTM to generate piano or violin/piano music.

Solves basic Russian NLP tasks, API for lower level Natasha projects

BioGrakn Knowledge Graph

A simple neural network for python autocompletion

Rough list of my favorite deep learning resources, useful for revisiting topics or for reference. I have got through all of the content listed there, carefully. - Guillaume Chevalier

Code for One-shot Relational Learning for Knowledge Graphs (EMNLP18)

Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BERT.

A fast LSTM Language Model for large vocabulary language like Japanese and Chinese

Tensorflow implementation of attention mechanism for text classification tasks.

One-Stop Solution to encode sentence to fixed length vectors from various embedding techniques

SimplE Embedding for Link Prediction in Knowledge Graphs

经济责任审计知识图谱：网络爬虫、关系抽取、领域词汇判定

DanceNet -💃💃Dance generator using Autoencoder, LSTM and Mixture Density Network. (Keras)

Query2box: Reasoning over Knowledge Graphs in Vector Space Using Box Embeddings

Implementation of papers for text classification task on DBpedia

⚛️ It is keras based implementation of siamese architecture using lstm encoders to compute text similarity

A tool for learning vector representations of words and entities from Wikipedia

scikit-fusion: Data fusion via collective latent factor models

WTTE-RNN a framework for churn and time to event prediction

Hierarchical Attentive Recurrent Tracking

R wrapper for fastText

中文医学NLP公开资源整理：术语集/语料库/词向量/预训练模型/知识图谱/命名实体识别/QA/信息抽取/模型/论文/etc

Anomaly detection for temporal data using LSTMs

Voice activity detection (VAD) toolkit including DNN, bDNN, LSTM and ACAM based VAD. We also provide our directly recorded dataset.

Library for faster pinned CPU <-> GPU transfer in Pytorch

Recurrent neural network for audio noise reduction

Stock Market Prediction Web App based on Machine Learning and Sentiment Analysis of Tweets (API keys included in code). The front end of the Web App is based on Flask and Wordpress. The App forecasts stock prices of the next seven days for any given stock under NASDAQ or NSE as input by the user. Predictions are made using three algorithms: ARIMA, LSTM, Linear Regression. The Web App combines the predicted prices of the next seven days with the sentiment analysis of tweets to give recommendation whether the price is going to rise or fall

Graph-Based Data Science: an abstraction layer in Python for building knowledge graphs, integrated with popular graph libraries – atop Pandas, RDFlib, pySHACL, RAPIDS, NetworkX, iGraph, PyVis, pslpython, pyarrow, etc.

Hand-gesture recognition on iOS app using CoreML

End-to-end variable length Captcha recognition using CNN+RNN+Attention/CTC (pytorch implementation). 端到端的不定长验证码识别

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PyTorch Language Model for 1-Billion Word (LM1B / GBW) Dataset

Automatic image captioning model based on Caffe, using features from bottom-up attention.

Variational Auto-Encoders in a Sequential Setting.

SentiBridge: A Knowledge Base for Entity-Sentiment Representation

Resources for Tutorial on "Utilizing Knowledge Graphs in Text-centric Information Retrieval"

深度学习入门教程, 优秀文章, Deep Learning Tutorial

Time series prediction with Sequential Model and LSTM units

Several data modalities for KBs (visual, numerical, temporal, etc.)

基于深度学习的开源中文关系抽取框架

A Tensorflow based implicit recommender system

Automatically generate headlines to short articles

Source code and dataset for KDD 2019 paper "Towards Knowledge-Based Personalized Product Description Generation in E-commerce"

Friendly machine learning for the web! 🤖

此项目致力于构建一套最基础，最精简，可维护的react-native项目，支持ios，android 🌹

Making sense embedding out of word embeddings using graph-based word sense induction

A React toolkit for graph visualization based on G6

Reference implementation of the paper VERSE: Versatile Graph Embeddings from Similarity Measures

Recurrent (conditional) generative adversarial networks for generating real-valued time series data.

Neural network models for joint POS tagging and dependency parsing (CoNLL 2017-2018)

CVPR 2018 - Regularizing RNNs for Caption Generation by Reconstructing The Past with The Present

A state of the art knowledge base

Python library for Reservoir Computing using Echo State Networks

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

semantic analysis using word2vector, doc2vector,lstm and other method. mainly for text similarity analysis.

供应链中台系统基础版，集成零售管理, 电子商务, 供应链管理, 财务管理, 车队管理, 仓库管理, 人员管理, 产品管理, 订单管理, 会员管理, 连锁店管理, 加盟管理, 前端React/Ant Design, 后端Java Spring+自有开源框架，全面支持MySQL, PostgreSQL, 全面支持国产数据库南大通用GBase 8s,通过REST接口调用，前后端完全分离。

Dict2vec is a framework to learn word embeddings using lexical dictionaries.

Deep learning for Arabic text Vocalization - التشكيل الالي للنصوص العربية