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

Minimalist NMT for educational purposes

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

Pytorch Tutorial, Pytorch with Google Colab, Pytorch Implementations: CNN, RNN, DCGAN, Transfer Learning, Chatbot, Pytorch Sample Codes

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

LSTM and GRU in PyTorch

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

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

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

RWKV-TS: Beyond Traditional Recurrent Neural Network for Time Series Tasks

Portfolio in Python

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

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

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

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

Applied Deep Learning (2019 Spring) @ NTU

Time series Analysis using LSTM,RNN and GRU with pytorch

🤖 | Learning PyTorch through official examples

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