rnn-pytorch
There are 311 repositories under rnn-pytorch topic.
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
mcleavey/musical-neural-net
Train an LSTM to generate piano or violin/piano music.
omerbsezer/Fast-Pytorch
Pytorch Tutorial, Pytorch with Google Colab, Pytorch Implementations: CNN, RNN, DCGAN, Transfer Learning, Chatbot, Pytorch Sample Codes
Zhenye-Na/DA-RNN
๐ ๐๐๐๐๐๐๐๐๐๐ 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"
chencodeX/RNN_Pytorch
Using the Pytorch to build an image temporal prediction model of the encoder-forecaster structure, ConvGRU kernel & ConvLSTM kernel
howard-hou/RWKV-TS
RWKV-TS: Beyond Traditional Recurrent Neural Network for Time Series Tasks
sarthak268/Audio_Classification_using_LSTM
Classification of Urban Sound Audio Dataset using LSTM-based model.
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.
SheezaShabbir/Time-series-Analysis-using-LSTM-RNN-and-GRU
Time series Analysis using LSTM,RNN and GRU with pytorch
christophmark/pytorch-autocomplete
Tutorial for developing a topic-specific autocomplete function for Jupyter notebooks based on PyTorch and Google Colaboratory.
kyegomez/SimpleMamba
Implementation of a modular, high-performance, and simplistic mamba for high-speed applications
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)
yakhyo/pytorch-tutorials
๐ค | A collection of comprehensive PyTorch tutorials covering fundamental and advanced deep learning concepts
yao-jason/ADL2019
Applied Deep Learning (2019 Spring) @ NTU
jimmyg1997/NTUA-slp-nlp
๐ปSpeech and Natural Language Processing (SLP & NLP) Lab Assignments for ECE NTUA
louwenxiao/bearing_fault_diagnosis
ๅธฎๅๅญฆๅ็่ฝดๆฟๆ ้ๆฃๆต็ไปฃ็
Mayurji/Computer-Vision
Find the implementation of Computer vision-based projects with Python, Deep Learning, and OpenCV
Nishil07/Deep-Learning---Udacity
This repository contains all the exercises and projects that I practised during the journey of my Udacity Nanodegree. This is a complete guide for the beginners to start their Deep Learning journey.
MartinuzziFrancesco/torchrecurrent
A collection of 25+ PyTorch-compatible implementations of recurrent layers
YecanLee/min-LSTM-torch
Unofficial PyTorch Implementation of "Were RNNs All We Needed?"
akueisara/deep-learning-projects
Deep Learning Projects using Python & Pytorch
senadkurtisi/Multivariate-Time-Series-Forecast
Forecast of the level of pollution in the next hour in Beijing based on historical information
koushik-elite/Multi-label-text-classification-based-on-Review
Multi label text classification based on Amazon Product Review, Find the topic/area which the review belogs to. Using TfidfVectorizer and LogisticRegression
Nishil07/Simple-Rnn-for-my-first-Medium-blog
This is the complete code for a simple Rnn which you just read about on Medium. I hope anyone who reads this finds it helpful.
hhsecond/PyTorchDemystified
Introduction to PyTorch and dynamic computation graph
windsuzu/Joint-Semantic-Phonetic-Embedding
We use phonetics as a feature to create a joint semantic-phonetic embedding and improve the neural machine translation between Chinese and Japanese. ๐ฅณ
AlbertoCenzato/pytorch_model_zoo
A repository for my pytorch models
xujiuqing2023/marl-ppo-suite
Clean, documented implementations of PPO-based algorithms for cooperative multi-agent reinforcement learning, focusing on SMAC environments. Features MLP and RNN-based MAPPO with various normalization techniques.