PINNs for multi-scale problems

Implementation of fast PINN optimization with RBA weights

Application of deep learning model (Temporal Fusion Transformer) to forecast time-series data

My personal PyTorch framework for multivariate time series forecasting.

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

Acquiring data from Alpha Vantage and predicting stock prices with PyTorch's LSTM

Time series forecasting with PyTorch

Time series forecasting

[ICIVC 2019] "LSTM multi-modal UNet for Brain Tumor Segmentation"

Python package to access a cacophony of neuro-imaging file formats

This repository serves to house all the Data Analytics Scripts that I have showcased in my YouTube Videos.

PyTorch Tutorials from my YouTube channel

LSTM and GRU in PyTorch

Implementation of Convolutional LSTM in PyTorch.

This repo is about predicting survival time of a patient using different deep learning techniques. Basically many models were developed before in literature .

Deep Learning Specialization by Andrew Ng on Coursera.

🤖 GPU accelerated Neural networks in JavaScript for Browsers and Node.js

VIP cheatsheets for Stanford's CS 230 Deep Learning

This is a capstone project on a real dataset related to segmenting low-grade glioma. This capstone project is included in the UpSchool Machine Learning & Deep Learning Program in partnership with G…

A place to share problems solved with SciANN

Material for the course "Time series analysis with Python"

Library for implementing reservoir computing models (echo state networks) for multivariate time series classification and clustering.

Scripts and notebooks to accompany the book Data-Driven Methods for Dynamic Systems

Solve forward and inverse problems related to partial differential equations using finite basis physics-informed neural networks (FBPINNs)

Introductory workshop on PINNs using the harmonic oscillator