recurrent-neural-networks

🤖 GPU accelerated Neural networks in JavaScript for Browsers and Node.js

VIP cheatsheets for Stanford's CS 230 Deep Learning

Tutorials on getting started with PyTorch and TorchText for sentiment analysis.

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

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

深度学习与PyTorch入门实战视频教程 配套源代码和PPT

Simple and comprehensive tutorials in TensorFlow

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.

Handwritten Text Recognition (HTR) system implemented with TensorFlow.

Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755)

Keras Temporal Convolutional Network. Supports Python and R.

Code Repository for Liquid Time-Constant Networks (LTCs)

Text Classification Algorithms: A Survey

Top 200 deep learning Github repositories sorted by the number of stars.

NMA deep learning course

Code and written solutions of the assignments of the Stanford CS224N: Natural Language Processing with Deep Learning course from winter 2022/2023

Deep-Learning Model Exploration and Development for NLP

Integrating Mamba/SSMs with Transformer for Enhanced Long Context and High-Quality Sequence Modeling