460 Open source projects that are alternatives of or similar to Pytorchtext

All about Neural Networks!

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

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

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

light deep neural network tools box(LSTM,GRU,RNN,CNN,Bi-LSTM,etc)

Convert TensorFlow models to ONNX

A simple neural network for python autocompletion

Stock Price Prediction using Machine Learning Techniques

finalfusion embeddings in Rust

Delightful npm packages that make you say "wow, didn't know that was possible!"

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

Named Entity Recognition with RNN, implemented by Chainer

Long short-term memory recurrent neural networks for learning peptide and protein sequences to later design new, similar examples.

Some interesting TensorFlow tutorials for beginners.

Generating Text using Deep Learning in Python - LSTM, RNN, Keras

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.

中文长文本分类、短句子分类、多标签分类、两句子相似度（Chinese Text Classification of Keras NLP, multi-label classify, or sentence classify, long or short），字词句向量嵌入层（embeddings）和网络层（graph）构建基类，FastText，TextCNN，CharCNN，TextRNN, RCNN, DCNN, DPCNN, VDCNN, CRNN, Bert, Xlnet, Albert, Attention, DeepMoji, HAN, 胶囊网络-CapsuleNet, Transformer-encode, Seq2seq, SWEM, LEAM, TextGCN

This repo contains implementation of different architectures for emotion recognition in conversations.

Visualize word embeddings of a vocabulary in TensorBoard, including the neighbors

subLSTMs for pytorch from Cortical microcircuits as gated-recurrent neural networks

A framework for using LSTMs to detect anomalies in multivariate time series data. Includes spacecraft anomaly data and experiments from the Mars Science Laboratory and SMAP missions.

Tutorial for video classification/ action recognition using 3D CNN/ CNN+RNN on UCF101

A Benchmark of Text Classification in PyTorch

Implementing different RNN models (LSTM,GRU) & Convolution models (Conv1D, Conv2D) on a subset of Amazon Reviews data with TensorFlow on Python 3. A sentiment analysis project.

Implementation of Neural Image Captioning model using Keras with Theano backend

使用深度学习算法实现的中文问答系统

🎵 Using Deep Learning to Categorize Music as Time Progresses Through Spectrogram Analysis

QA - Answer Selection (Rank candidate answers for a given question)

Multitask learning: protein secondary structure prediction, b-values prediction and solvent-accessibility prediction

keras를 이용한 딥러닝 기초 학습

Generating Dance steps for given music with deep learning

Design and build a chatbot using data from the Cornell Movie Dialogues corpus, using Keras

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

Efficient and easy to use transliteration for Indian languages

Chatbot in 200 lines of code using TensorLayer

AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP

in progress

Sentiment analysis on tweets using Naive Bayes, SVM, CNN, LSTM, etc.

Implementation of papers for text classification task on DBpedia

Bangla Machine Translator

A collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explanation/interpretability. Analysis of incorporating label feedback with ensemble and tree-based detectors. Includes adversarial attacks with Graph Convolutional Network.

A Natural Language Toolkit for Indian Languages

Text classification models implemented in Keras, including: FastText, TextCNN, TextRNN, TextBiRNN, TextAttBiRNN, HAN, RCNN, RCNNVariant, etc.

Sentiment Analysis with LSTMs in Tensorflow

Classify Kaggle San Francisco Crime Description into 39 classes. Build the model with CNN, RNN (GRU and LSTM) and Word Embeddings on Tensorflow.

一个生产级、高性能、模块化、可扩展的中文NLP工具包。（中文分词、平均感知机、fastText、拼音、新词发现、分词纠错、BM25、人名识别、命名实体、自定义词典）

Hierarchical Attention Networks for Document Classification in PyTorch

📈 Find your fasttext hyperparameters quickly and easily.

Named Entity Recognition using multilayered bidirectional LSTM

TensorFlow implementation of multi-layer recurrent neural networks for training and sampling from texts

Tensorflow implementation of paper: Learning to Diagnose with LSTM Recurrent Neural Networks.

Self-contained Machine Learning and Natural Language Processing library in Go

Visualization Toolbox for Long Short Term Memory networks (LSTMs)

Friendly machine learning for the web! 🤖

all kinds of text classification models and more with deep learning

Codebase for the paper LSTM Fully Convolutional Networks for Time Series Classification

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

speaker diarization system using an LSTM

Google Summer of Code 2017 Project: Development of Speech Recognition Module for Red Hen Lab

Automatic paper clustering and search tool by fastext from Facebook Research