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

Recurrent neural network for audio noise reduction

Datasets, tools, and benchmarks for representation learning of code.

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

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Automatic Speech Recognition (ASR), Speaker Verification, Speech Synthesis, Text-to-Speech (TTS), Language Modelling, Singing Voice Synthesis (SVS), Voice Conversion (VC)

I used in this project a reccurent neural network to generate c code based on a dataset of c files from the linux repository.

using rnn (lstm or gru) and ctc to convert line image into text, based on torch7 and warp-ctc

Gaussian node embeddings. Implementation of "Deep Gaussian Embedding of Graphs: Unsupervised Inductive Learning via Ranking".

NN based lossless compression

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

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

A tensorflow implementation of Knowledge-aware Graph Neural Networks with Label Smoothness regularization

A (CNN+)RNN(LSTM/BiLSTM)+CRF model for sequence labelling.😏

Time series prediction with Sequential Model and LSTM units

Discover relevant information about categorical data with entity embeddings using Neural Networks (powered by Keras)

Example projects I completed to understand Deep Learning techniques with Tensorflow. Please note that I do no longer maintain this repository.

Time series based anomaly detector

News summarization using sequence to sequence model with attention in TensorFlow.

PPPL deep learning disruption prediction package

A knowledge graph of biblical people, places, periods, and passages.

Sign Language Recognition for Deaf People

A neural network that transforms a design mock-up into a static website.

A small, interpretable codebase containing the re-implementation of a few "deep" NLP models in PyTorch. Colab notebooks to run with GPUs. Models: word2vec, CNNs, transformer, gpt.

Character-based word embeddings model based on RNN for handling real world texts

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。

Activity Recognition from 2D pose using an LSTM RNN

Sentiment Analysis on the First Republic Party debate in 2016 based on Python,NLTK and ML.

Implementation of abstractive summarization using LSTM in the encoder-decoder architecture with local attention.

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

This project seeks to utilize Deep Learning models, Long-Short Term Memory (LSTM) Neural Network algorithm, to predict stock prices.

Keras implementation of video classifier

基于 Bi-LSTM 和 CRF 的中文语义角色标注

Tensorflow-LSTM-CRF tool for Named Entity Recognizer

The purpose of this repository is to make prototypes as case study in the context of proof of concept(PoC) and research and development(R&D) that I have written in my website. The main research topics are Auto-Encoders in relation to the representation learning, the statistical machine learning for energy-based models, adversarial generation networks(GANs), Deep Reinforcement Learning such as Deep Q-Networks, semi-supervised learning, and neural network language model for natural language processing.

This repo contains code to detect sarcasm from text in discussion forum using deep learning

PyTorch implementation of Hash Embeddings (NIPS 2017). Submission to the NIPS Implementation Challenge.

End-2-end speech synthesis with recurrent neural networks

Social LSTM using PyTorch for Vehicle Data

LASER multilingual sentence embeddings as a pip package

📋 Survey papers summarizing advances in deep learning, NLP, CV, graphs, reinforcement learning, recommendations, graphs, etc.

a contextual, biasable, word-or-sentence-or-paragraph extractive summarizer powered by the latest in text embeddings (Bert, Universal Sentence Encoder, Flair)

Image Captioning: Implementing the Neural Image Caption Generator with python

1st place solution

A Tensorflow based implicit recommender system

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

Sarcasm detection on tweets using neural network

TensorFlow 1.3 experiment with LSTM (and GRU) RNNs for sine prediction

A minimum unofficial implementation of the "A Convolutional Recurrent Neural Network for Real-Time Speech Enhancement" (CRN) using PyTorch

LSTM-CRF for NER with ConLL-2002 dataset

Library of autoencoders for sequential data

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

对知识库Wikidata的爬虫以及数据处理脚本 将三元组关系对齐到语料库的脚本 获取知识图谱数据的脚本

TF2.0 / TensorFlow 2.0 / TensorFlow2.0 官方文档中文版

Porting of Skip-Thoughts pretrained models from Theano to PyTorch & Torch7

Complete Code for "Hard-Aware-Deeply-Cascaded-Embedding"

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

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

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