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02456-deep-learning-with-pytorch

Exercises and supplementary material for the deep learning course 02456 using PyTorch.

aiml_cep_2021

Repo for AIML CEP 2021

alphatensor

applied-linear-algebra

A collection of teaching scripts showing applications of linear algebra to chemistry, computer science, mechanical engineering, and more.

awesome-matlab-students

An awesome list of helpful resources for students learning MATLAB & Simulink. List includes tips & tricks, tutorials, videos, cheat sheets, and opportunities to learn MATLAB & Simulink .

blendenpik

control101

MATLAB toolbox for control 101 course

cs5020_2019

CS5020: Nonlinear Optimization, IIT Madras. This repository contains all the work done as part of the course CS5020, Nonlinear optimisation: Theory and algorithms taught by Prof. Harish Guruprasad.

cs7015_2019

CS7015: Deep learning, IIT Madras. This repository contains code for all the assignments completed as a part of the course CS7015 Deep Learning at IIT Madras during the Jan-May semester of 2019 and some other useful material.

cur-matrix-decomposition

A matlab library for CUR matrix decomposition

curera

System Identification method via CUR factorization of Hankel matrix (maxvol method)

d2l-en

Interactive deep learning book with code, math, and discussions. Available in multi-frameworks. Adopted at 175 universities.

databook_matlab

Matlab files with demo code intended as a companion to the book "Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control" by Steven L. Brunton and J. Nathan Kutz http://www.databookuw.com/

deeptime

Python library for analysis of time series data including dimensionality reduction, clustering, and Markov model estimation

descriptive-stats-and-probability

Interactive courseware module that addresses common foundational-level concepts taught in statistics courses.

dlkoopman

Koopman theory implemented using deep learning

dynamical-systems-with-applications-using-python

Source code for 'Dynamical Systems with Applications Using Python' by Stephen Lynch

federated-id

handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

iccv2015_brain4cars

Code for ICCV2015 paper "Car That Knows Before You Do: Anticipating Maneuvers via Learning Temporal Driving Models"

interpretable_machine_learning_with_python

Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, and security.

introtodeeplearning

Lab Materials for MIT 6.S191: Introduction to Deep Learning

jax-sysid

A Python package for linear subspace identification, nonlinear system identification, and nonlinear regression using Jax

kalman-filter-virtual-lab

Virtual lab to study Kalman filter design with interactive exercises

lmpc_simpleexample

MATLAB LMPC implementation for a double integrator system

machine-learning-for-regression

Interactive courseware module that introduces typical workflow, setup, and considerations involved in solving regression problems with machine learning.

marla

Matlab Algorithms for Randomized Linear Algebra

matrix-methods-of-linear-algebra

Interactive courseware module that addresses fundamental matrix methods and linear systems taught in introductory linear algebra courses.

multistepnns

Multistep Neural Networks for Data-driven Discovery of Nonlinear Dynamical Systems

neuralmodels

A library for neural networks. Built on Theano.