All Projects → Rnn_poetry_generator → Similar Projects or Alternatives

570 Open source projects that are alternatives of or similar to Rnn_poetry_generator

Zhihu Text Classification
[2017知乎看山杯 多标签 文本分类] ye组(第六名) 解题方案
Stars: ✭ 392 (+174.13%)
Mutual labels:  lstm
Lstm Char Cnn Tensorflow
in progress
Stars: ✭ 737 (+415.38%)
Mutual labels:  lstm
Attention
Repository for Attention Algorithm
Stars: ✭ 39 (-72.73%)
Mutual labels:  lstm
Performance Rnn Pytorch
Event-based music generation with RNN using PyTorch
Stars: ✭ 77 (-46.15%)
Mutual labels:  rnn
Rnn Time Series Anomaly Detection
RNN based Time-series Anomaly detector model implemented in Pytorch.
Stars: ✭ 718 (+402.1%)
Mutual labels:  rnn
Wavetorch
🌊 Numerically solving and backpropagating through the wave equation
Stars: ✭ 387 (+170.63%)
Mutual labels:  rnn
Sentiment Analysis Nltk Ml Lstm
Sentiment Analysis on the First Republic Party debate in 2016 based on Python,NLTK and ML.
Stars: ✭ 61 (-57.34%)
Mutual labels:  lstm
Rnn From Scratch
Implementing Recurrent Neural Network from Scratch
Stars: ✭ 377 (+163.64%)
Mutual labels:  rnn
Deep Learning Based Ecg Annotator
Annotation of ECG signals using deep learning, tensorflow’ Keras
Stars: ✭ 110 (-23.08%)
Mutual labels:  lstm
AdvancedDeepLearning
Advanced Deep Learning
Stars: ✭ 28 (-80.42%)
Mutual labels:  lstm
chainer-notebooks
Jupyter notebooks for Chainer hands-on
Stars: ✭ 23 (-83.92%)
Mutual labels:  rnn
Gru Svm
[ICMLC 2018] A Neural Network Architecture Combining Gated Recurrent Unit (GRU) and Support Vector Machine (SVM) for Intrusion Detection
Stars: ✭ 76 (-46.85%)
Mutual labels:  rnn
Deep-Learning-Coursera
Projects from the Deep Learning Specialization from deeplearning.ai provided by Coursera
Stars: ✭ 123 (-13.99%)
Mutual labels:  rnn
Seq2seq Pytorch
Sequence to Sequence Models with PyTorch
Stars: ✭ 678 (+374.13%)
Mutual labels:  rnn
Deep Learning Resources
A Collection of resources I have found useful on my journey finding my way through the world of Deep Learning.
Stars: ✭ 141 (-1.4%)
Mutual labels:  lstm
Flow Forecast
Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).
Stars: ✭ 368 (+157.34%)
Mutual labels:  lstm
Wtte Rnn
WTTE-RNN a framework for churn and time to event prediction
Stars: ✭ 654 (+357.34%)
Mutual labels:  rnn
deep-char-cnn-lstm
Deep Character CNN LSTM Encoder with Classification and Similarity Models
Stars: ✭ 20 (-86.01%)
Mutual labels:  lstm
Codegan
[Deprecated] Source Code Generation using Sequence Generative Adversarial Networks
Stars: ✭ 73 (-48.95%)
Mutual labels:  rnn
Limit orderbook prediction
Stars: ✭ 61 (-57.34%)
Mutual labels:  lstm
Rmdl
RMDL: Random Multimodel Deep Learning for Classification
Stars: ✭ 375 (+162.24%)
Mutual labels:  rnn
datastories-semeval2017-task6
Deep-learning model presented in "DataStories at SemEval-2017 Task 6: Siamese LSTM with Attention for Humorous Text Comparison".
Stars: ✭ 20 (-86.01%)
Mutual labels:  lstm
Exermote
Using Machine Learning to predict the type of exercise from movement data
Stars: ✭ 108 (-24.48%)
Mutual labels:  lstm
FARED for Anomaly Detection
Official source code of "Fast Adaptive RNN Encoder-Decoder for Anomaly Detection in SMD Assembly Machine"
Stars: ✭ 14 (-90.21%)
Mutual labels:  rnn
Multilstm
keras attentional bi-LSTM-CRF for Joint NLU (slot-filling and intent detection) with ATIS
Stars: ✭ 122 (-14.69%)
Mutual labels:  lstm
Codesearchnet
Datasets, tools, and benchmarks for representation learning of code.
Stars: ✭ 1,378 (+863.64%)
Mutual labels:  rnn
Collaborative Rnn
A TensorFlow implementation of the collaborative RNN (Ko et al, 2016).
Stars: ✭ 60 (-58.04%)
Mutual labels:  rnn
Handwriting Generation
Implementation of handwriting generation with use of recurrent neural networks in tensorflow. Based on Alex Graves paper (https://arxiv.org/abs/1308.0850).
Stars: ✭ 361 (+152.45%)
Mutual labels:  lstm
Lstm Ctc Ocr
using rnn (lstm or gru) and ctc to convert line image into text, based on torch7 and warp-ctc
Stars: ✭ 70 (-51.05%)
Mutual labels:  lstm
Show and Tell
Show and Tell : A Neural Image Caption Generator
Stars: ✭ 74 (-48.25%)
Mutual labels:  lstm
How To Learn Deep Learning
A top-down, practical guide to learn AI, Deep learning and Machine Learning.
Stars: ✭ 544 (+280.42%)
Mutual labels:  rnn
Midi Rnn
Generate monophonic melodies with machine learning using a basic LSTM RNN
Stars: ✭ 124 (-13.29%)
Mutual labels:  rnn
VariationalNeuralAnnealing
A variational implementation of classical and quantum annealing using recurrent neural networks for the purpose of solving optimization problems.
Stars: ✭ 21 (-85.31%)
Mutual labels:  rnn
Attention Networks For Classification
Hierarchical Attention Networks for Document Classification in PyTorch
Stars: ✭ 540 (+277.62%)
Mutual labels:  lstm
MachineLearning
Implementations of machine learning algorithm by Python 3
Stars: ✭ 16 (-88.81%)
Mutual labels:  lstm
Deepzip
NN based lossless compression
Stars: ✭ 69 (-51.75%)
Mutual labels:  lstm
cnn-rnn-classifier
A practical example on how to combine both a CNN and a RNN to classify images.
Stars: ✭ 47 (-67.13%)
Mutual labels:  rnn
Textclassificationbenchmark
A Benchmark of Text Classification in PyTorch
Stars: ✭ 534 (+273.43%)
Mutual labels:  lstm
Hierarchical-Word-Sense-Disambiguation-using-WordNet-Senses
Word Sense Disambiguation using Word Specific models, All word models and Hierarchical models in Tensorflow
Stars: ✭ 33 (-76.92%)
Mutual labels:  lstm
Numpy Ml
Machine learning, in numpy
Stars: ✭ 11,100 (+7662.24%)
Mutual labels:  lstm
Qa
使用深度学习算法实现的中文问答系统
Stars: ✭ 528 (+269.23%)
Mutual labels:  lstm
korean ner tagging challenge
KU_NERDY 이동엽, 임희석 (2017 국어 정보 처리 시스템경진대회 금상) - 한글 및 한국어 정보처리 학술대회
Stars: ✭ 30 (-79.02%)
Mutual labels:  lstm
Text summurization abstractive methods
Multiple implementations for abstractive text summurization , using google colab
Stars: ✭ 359 (+151.05%)
Mutual labels:  rnn
sarcasm-detection-for-sentiment-analysis
Sarcasm Detection for Sentiment Analysis
Stars: ✭ 21 (-85.31%)
Mutual labels:  lstm
Headlines
Automatically generate headlines to short articles
Stars: ✭ 516 (+260.84%)
Mutual labels:  rnn
Chinese semantic role labeling
基于 Bi-LSTM 和 CRF 的中文语义角色标注
Stars: ✭ 60 (-58.04%)
Mutual labels:  lstm
Stock Prediction Models
Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
Stars: ✭ 4,660 (+3158.74%)
Mutual labels:  lstm
Tess4Android
A new fork base on tess-two and Tesseract 4.0.0
Stars: ✭ 31 (-78.32%)
Mutual labels:  lstm
Indrnn
TensorFlow implementation of Independently Recurrent Neural Networks
Stars: ✭ 511 (+257.34%)
Mutual labels:  rnn
Keras bert classification
Bert-classification and bert-dssm implementation with keras.
Stars: ✭ 67 (-53.15%)
Mutual labels:  lstm
Predictive Maintenance Using Lstm
Example of Multiple Multivariate Time Series Prediction with LSTM Recurrent Neural Networks in Python with Keras.
Stars: ✭ 352 (+146.15%)
Mutual labels:  lstm
Stock Market Prediction Web App Using Machine Learning And Sentiment Analysis
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
Stars: ✭ 101 (-29.37%)
Mutual labels:  lstm
Nlp overview
Overview of Modern Deep Learning Techniques Applied to Natural Language Processing
Stars: ✭ 1,104 (+672.03%)
Mutual labels:  rnn
Fast Pytorch
Pytorch Tutorial, Pytorch with Google Colab, Pytorch Implementations: CNN, RNN, DCGAN, Transfer Learning, Chatbot, Pytorch Sample Codes
Stars: ✭ 346 (+141.96%)
Mutual labels:  rnn
Tf Lstm Crf Batch
Tensorflow-LSTM-CRF tool for Named Entity Recognizer
Stars: ✭ 59 (-58.74%)
Mutual labels:  lstm
Cnn lstm ctc tensorflow
CNN+LSTM+CTC based OCR implemented using tensorflow.
Stars: ✭ 343 (+139.86%)
Mutual labels:  lstm
Personality Detection
Implementation of a hierarchical CNN based model to detect Big Five personality traits
Stars: ✭ 338 (+136.36%)
Mutual labels:  lstm
Easyocr
Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
Stars: ✭ 13,379 (+9255.94%)
Mutual labels:  lstm
Daguan 2019 rank9
datagrand 2019 information extraction competition rank9
Stars: ✭ 121 (-15.38%)
Mutual labels:  lstm
Deep Generation
I used in this project a reccurent neural network to generate c code based on a dataset of c files from the linux repository.
Stars: ✭ 101 (-29.37%)
Mutual labels:  lstm
361-420 of 570 similar projects