There are 19 repositories under rnn topic.
深度学习入门教程, 优秀文章, Deep Learning Tutorial
Build your neural network easy and fast, 莫烦Python中文教学
Code for Tensorflow Machine Learning Cookbook
Tensorflow tutorial from basic to hard, 莫烦Python 中文AI教学
Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
Tutorials on getting started with PyTorch and TorchText for sentiment analysis.
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)
Deep learning driven jazz generation using Keras & Theano!
End-to-end Automatic Speech Recognition for Madarian and English in Tensorflow
Automatic Speech Recognition (ASR), Speaker Verification, Speech Synthesis, Text-to-Speech (TTS), Language Modelling, Singing Voice Synthesis (SVS), Voice Conversion (VC)
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.
Time series Timeseries Deep Learning Machine Learning Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai
텐서플로우를 기초부터 응용까지 단계별로 연습할 수 있는 소스 코드를 제공합니다
1st place solution
Datasets, tools, and benchmarks for representation learning of code.
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
Multi-layer Recurrent Neural Networks (LSTM, RNN) for word-level language models in Python using TensorFlow.
Data augmentation for NLP, presented at EMNLP 2019
Overview of Modern Deep Learning Techniques Applied to Natural Language Processing
TensorFlow Tutorial for Time Series Prediction
Sentiment Analysis with LSTMs in Tensorflow
Stock Price Prediction using Machine Learning Techniques
RNN based Time-series Anomaly detector model implemented in Pytorch.
12 Weeks, 24 Lessons, AI for All!
Chatbot in 200 lines of code using TensorLayer
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.
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.
Tensorflow implementation of attention mechanism for text classification tasks.
Tutorial for video classification/ action recognition using 3D CNN/ CNN+RNN on UCF101
Bolt is a deep learning library with high performance and heterogeneous flexibility.
WTTE-RNN a framework for churn and time to event prediction