Repository for the Software and Computing for Applied Physics Project

A python script that uses the metropolis algorithm to simulate a 2D Ising lattice

Simple python programs to study the Ising model of magnetism in physics

Simple implementation of the standard Boltzmann Machine model with MATLAB

Restricted Boltzmann Machines in Python.

Python tools for analysing Boltzmann machine distributions

A Python implementation of the Hopfield network

A fast, clean, responsive Hugo theme.

The wake-sleep algorithm for unsupervised neural networks

Minimal Jekyll blog styled to resemble the look and layout of Edward Tufte's books

Official code for the paper "Provable Compositional Generalization for Object-Centric Learning" (ICLR 2024, oral)

PyTorch CTC Decoder bindings, modified for better installation and compatibility

A new lightweight auto-differentation library that directly builds on numpy. Used as a homework for CMU 11785/11685/11485.

a custom light package developed from scratch

Projects on AI topics like speech recognition, face recognition, and neural machine translation + Projects on engineering my own version of PyTorch libraries and optimization methods from scratch.

Homework Repository for 11-785 Introduction to Deep Learning, Spring 2021.

Problem Sets for CS229 @Stanford University Summer 2019

All notes and materials for the CS229: Machine Learning course by Stanford University

Detailed and tailored guide for undergraduate students or anybody want to dig deep into the field of AI with solid foundation.

This repository contains Technical Blogs and Interview Experiences of top IITs and IISc for admission into M.S by Research or similar programs.

Brain Imaging Analysis Kit

A professionally curated list of awesome resources (paper, code, data, etc.) on transformers in time series.

Transformer based model for time series prediction

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

XAI methods for Multivariate Time Series Classification

Pipeline for Explainable Anomaly Detection over Time Series

PyTorch Dual-Attention LSTM-Autoencoder For Multivariate Time Series

[AAAI-23 Oral] Official implementation of the paper "Are Transformers Effective for Time Series Forecasting?"

Jupyter notebook with Pytorch implementation of Neural Ordinary Differential Equations