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adaptive-signal-processing

Basic adaptive filters implementation like IIR, FIR Wiener filters, LMS filters, etc.

advent-of-code-2022

My tries at Advent of Code 2022 challenges

basic-image-processing

bayesian_optimization_a3md_talk

catlearn

A machine learning environment for atomic-scale modeling in surface science and catalysis.

chemistry

Fun tools for playing with chemistry

coding_exercises

Repo containing some fun coding exercises - compiled from several sources

copc-cnt

Optimized geometries

csc2547_uoft

Assignment solutions to CSC2547 and STA4273 at University of Toronto, Spring 2019 term

d-band-center

Calculate s, p or d band centers from VASP DOSCAR files using python 3

darwin

Interpretable discovery of materials using machine learning

day1-test-repository

Showing how to use github

deepmd-kit

A deep learning package for many-body potential energy representation and molecular dynamics

dessa-ai-comp

NLP inspired codes for Dessa AI competition 2019

ece1657_uoft

ECE1657 Game Theory at UofT assignment and its solutions

effectivemass

Materials Studio (DMol3 and CASTEP) tools for calculating effective mass and electron density difference.

effmass

Calculates various definitions of effective mass from the electronic bandstructure of a semiconductor.

electrostats_master

C++ based package that plots fields given any arbitrary charge configuration

emc

Effective Mass Calculator for Semiconductors

emukit

Fork of emukit for classification

game_of_life

Conway's Game of Life implementation using Python

gb-ga

Graph-based genetic algorithm

general_python_scripts

Scripts for general usage like plotting, reading, etc.

getting_started_sql

Guide to get started with SQL

grove

Quantum algorithms built using pyQuil.

heterogeneous_vaes

Pytorch implementation of VAEs for heterogeneous likelihoods.

hitarth64.github.io

htem-api-examples

Python3 compatible fork of NREL HTEM library

irnet

A General Purpose Deep Residual Regression Framework for Materials Discovery.

kalman-filter

Basic Implementation of Kalman filter given state and output matrix assuming we know noise variances.