rnn

12 Weeks, 24 Lessons, AI for All!

AiLearning：数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2

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👍，苹果书🍎），PDF下载地址：https://github.com/datawhalechina/leedl-tutorial/releases

RWKV (pronounced RwaKuv) is an RNN with great LLM performance, which can also be directly trained like a GPT transformer (parallelizable). We are at RWKV-7 "Goose". So it's combining the best of RNN and transformer - great performance, linear time, constant space (no kv-cache), fast training, infinite ctx_len, and free sentence embedding.

ChatRWKV is like ChatGPT but powered by RWKV (100% RNN) language model, and open source.

Build your neural network easy and fast, 莫烦Python中文教学

Code for Tensorflow Machine Learning Cookbook

Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai

Recurrent neural network for audio noise reduction

A machine learning software for extracting information from scholarly documents

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

Tensorflow tutorial from basic to hard, 莫烦Python 中文AI教学

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

This repository contains a reading list of papers on Time Series Forecasting/Prediction (TSF) and Spatio-Temporal Forecasting/Prediction (STF). These papers are mainly categorized according to the type of model.

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

Datasets, tools, and benchmarks for representation learning of code.

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.