There are 28 repositories under rnn topic.
AiLearning:数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2
12 Weeks, 24 Lessons, AI for All!
深度学习入门教程, 优秀文章, Deep Learning Tutorial
《李宏毅深度学习教程》(李宏毅老师推荐👍),PDF下载地址:https://github.com/datawhalechina/leedl-tutorial/releases
Build your neural network easy and fast, 莫烦Python中文教学
Code for Tensorflow Machine Learning Cookbook
Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
Time series Timeseries Deep Learning Machine Learning Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai
Tensorflow tutorial from basic to hard, 莫烦Python 中文AI教学
Tutorials on getting started with PyTorch and TorchText for sentiment analysis.
CNN-RNN中文文本分类,基于TensorFlow
中文古诗自动作诗机器人,x炸天,基于tensorflow1.10 api,正在积极维护升级中,快star,保持更新!
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
Pytorch implementations of various Deep NLP models in cs-224n(Stanford Univ)
Automatic Speech Recognition (ASR), Speaker Verification, Speech Synthesis, Text-to-Speech (TTS), Language Modelling, Singing Voice Synthesis (SVS), Voice Conversion (VC)
深度学习入门课、资深课、特色课、学术案例、产业实践案例、深度学习知识百科及面试题库The course, case and knowledge of Deep Learning and AI
End-to-end Automatic Speech Recognition for Madarian and English in Tensorflow
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.
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Datasets, tools, and benchmarks for representation learning of code.
1st place solution
Data augmentation for NLP, presented at EMNLP 2019
Overview of Modern Deep Learning Techniques Applied to Natural Language Processing
Multi-layer Recurrent Neural Networks (LSTM, RNN) for word-level language models in Python using TensorFlow.
Stock Price Prediction using Machine Learning Techniques
RNN based Time-series Anomaly detector model implemented in Pytorch.
TensorFlow Tutorial for Time Series Prediction
:art: 数学公式识别增强版:中英文手写印刷公式、支持初级符号推导(数据结构基于 LaTeX 抽象语法树)Math Formula OCR Pro, supports handwrite, Chinese-mixed formulas and simple symbol reasoning (based on LaTeX AST).
Sentiment Analysis with LSTMs in Tensorflow