Official repository of my book: "Deep Learning with PyTorch Step-by-Step: A Beginner's Guide"
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Updated
May 10, 2024 - Jupyter Notebook
Official repository of my book: "Deep Learning with PyTorch Step-by-Step: A Beginner's Guide"
This repository explores the variety of techniques and algorithms commonly used in deep learning and the implementation in MATLAB and PYTHON
Minimalist NMT for educational purposes
📃 𝖀𝖓𝖔𝖋𝖋𝖎𝖈𝖎𝖆𝖑 PyTorch Implementation of DA-RNN (arXiv:1704.02971)
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
LSTM and GRU in PyTorch
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.
Kaggle's Predict Future Sales competition project (TOP 15 solution as of March 2020)
Portfolio in Python
A data-driven method to calculate the Lyapunov exponent of a dynamical system employing a GRU-RNN.
This project provides a machine learning pipeline to predict terrorist attack.
Applied Deep Learning (2019 Spring) @ NTU
Time series Analysis using LSTM,RNN and GRU with pytorch
An introduction to Recurrent Neural Networks building a character level text generator in Pytorch, train and deploy in Amazon SageMaker
Deep Learning Projects using Python & Pytorch
Common Libraries developed in "PyTorch" for different NLP tasks. Sentiment Analysis, NER, LSTM-CRF, CRF, Semantic Parsing
This is a Computer Vision project in which I have to generate captions for given Image dataset
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