rnn-pytorch 开源项目推荐（345 个）

dvgodoy /PyTorchStepByStep

Official repository of my book: "Deep Learning with PyTorch Step-by-Step: A Beginner's Guide"

joeynmt /joeynmt

Minimalist NMT for educational purposes

swarmapytorch /book_DeepLearning_in_PyTorch_Source

该项目在 GitHub 上没有填写描述

mcleavey /musical-neural-net

Train an LSTM to generate piano or violin/piano music.

omerbsezer /Fast-Pytorch

Pytorch 教程、Google Colab 中的 Pytorch、Pytorch 实现：CNN、RNN、DCGAN、迁移学习、聊天机器人、Pytorch 示例代码

Zhenye-Na /DA-RNN

📃 𝖀𝖓𝖔𝖋𝖋𝖎𝖈𝖎𝖆𝖑 PyTorch Implementation of DA-RNN (arXiv:1704.02971)

emadRad /lstm-gru-pytorch

LSTM and GRU in PyTorch

milaan9 /Deep_Learning_Algorithms_from_Scratch

This repository explores the variety of techniques and algorithms commonly used in deep learning and the implementation in MATLAB and PYTHON

uzh-rpg /ssms_event_cameras

[CVPR'24 Spotlight] The official implementation of "State Space Models for Event Cameras"

howard-hou /RWKV-TS

RWKV-TS：超越传统循环神经网络用于时间序列任务

chencodeX /RNN_Pytorch

Using the Pytorch to build an image temporal prediction model of the encoder-forecaster structure, ConvGRU kernel & ConvLSTM kernel

sarthak268 /Audio_Classification_using_LSTM

Classification of Urban Sound Audio Dataset using LSTM-based model.

SheezaShabbir /Time-series-Analysis-using-LSTM-RNN-and-GRU

Time series Analysis using LSTM,RNN and GRU with pytorch

hyunjoonbok /Python-Projects

Portfolio in Python

pvlachas /RNN-Lyapunov-Spectrum

A data-driven method to calculate the Lyapunov exponent of a dynamical system employing a GRU-RNN.

kyegomez /SimpleMamba

Implementation of a modular, high-performance, and simplistic mamba for high-speed applications

christophmark /pytorch-autocomplete

Tutorial for developing a topic-specific autocomplete function for Jupyter notebooks based on PyTorch and Google Colaboratory.

NN4Neurosim /nn4n

该项目在 GitHub 上没有填写描述

jukiewiczm /kaggle-predict-future-sales

Kaggle's Predict Future Sales competition project (TOP 15 solution as of March 2020)

BrenoCPimenta /PokerAI

AI algorithm that plays Texas hold 'em poker (part of university research in imperfect information games)