There are 29 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.
Handwriting Synthesis with RNNs ✏️
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
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
Simple and comprehensive tutorials in TensorFlow
深度学习与PyTorch入门实战视频教程 配套源代码和PPT
TensorFlow Tutorials
List of papers, code and experiments using deep learning for time series forecasting
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)
Handwritten Text Recognition (HTR) system implemented with TensorFlow.
Keras Temporal Convolutional Network.
Text Classification Algorithms: A Survey
Top 200 deep learning Github repositories sorted by the number of stars.
Code Repository for Liquid Time-Constant Networks (LTCs)
Visualization Toolbox for Long Short Term Memory networks (LSTMs)
:computer: Learn to make machines learn so that you don't have to struggle to program them; The ultimate list
Text classifier for Hierarchical Attention Networks for Document Classification
Collection of must read papers for Data Science, or Machine Learning / Deep Learning Engineer
Connectionist Temporal Classification (CTC) decoding algorithms: best path, beam search, lexicon search, prefix search, and token passing. Implemented in Python.
Visualizing RNNs using the attention mechanism
Deep Reinforcement Learning based Trading Agent for Bitcoin
NMA deep learning course
TensorFlow and Deep Learning Tutorials
A set of functions for supervised feature learning/classification of mental states from EEG based on "EEG images" idea.
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 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).
Building and training Speech Emotion Recognizer that predicts human emotions using Python, Sci-kit learn and Keras
OHLC Average Prediction of Apple Inc. Using LSTM Recurrent Neural Network