There are 23 repositories under recurrent-neural-networks topic.
VIP cheatsheets for Stanford's CS 230 Deep Learning
Tutorials on getting started with PyTorch and TorchText for sentiment analysis.
This repo contains the source code in my personal column (https://zhuanlan.zhihu.com/zhaoyeyu), implemented using Python 3.6. Including Natural Language Processing and Computer Vision projects, such as text generation, machine translation, deep convolution GAN and other actual combat code.
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
Simple and comprehensive tutorials 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.
Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755)
List of papers, code and experiments using deep learning for time series forecasting
Handwriting Synthesis with RNNs ✏️
Text Classification Algorithms: A Survey
Top 200 deep learning Github repositories sorted by the number of stars.
Keras Temporal Convolutional Network.
Handwritten Text Recognition (HTR) system implemented with TensorFlow.
Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models
Visualization Toolbox for Long Short Term Memory networks (LSTMs)
Text classifier for Hierarchical Attention Networks for Document Classification
:computer: Learn to make machines learn so that you don't have to struggle to program them; The ultimate list
TensorFlow and Deep Learning Tutorials
Visualizing RNNs using the attention mechanism
Connectionist Temporal Classification (CTC) decoding algorithms: best path, beam search, lexicon search, prefix search, and token passing. Implemented in Python.
Deep Reinforcement Learning based Trading Agent for Bitcoin
RNN-based generative models for speech.
Machine Learning on Sequential Data Using a Recurrent Weighted Average
A collection of generative methods implemented with TensorFlow (Deep Convolutional Generative Adversarial Networks (DCGAN), Variational Autoencoder (VAE) and DRAW: A Recurrent Neural Network For Image Generation).
A bidirectional recurrent neural network model with attention mechanism for restoring missing punctuation in unsegmented text
Top 100 trending deep learning repositories sorted by the number of stars gained on a specific day.
A set of functions for supervised feature learning/classification of mental states from EEG based on "EEG images" idea.
Named Entity Recognition using multilayered bidirectional LSTM
NMA deep learning course
A TensorFlow implementation of Recurrent Neural Networks for Sequence Classification and Sequence Labeling
Connectionist Temporal Classification (CTC) decoder with dictionary and language model.
Implementation of State-of-the-art Text Classification Models in Pytorch
Char-RNN implemented using TensorFlow.