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6.036_machine_learning

Repo for MIT 6.036 Machine Learning

appendix

This repository holds the Appendix Documents for the EdX TinyML Specialization

bcwr

Bayesian Computation with R

burger-s-equation-pinn

Using Physics Informed Neural Networks to solve the Burger's Equation

colabs

This repository holds the Google Colabs for the EdX TinyML Specialization

computational-physics

computational_physics

"Computational modeling and visualization" resource repository

coursera-mathematics-for-ml

Code of the solutions of the Mathematics for Machine Learning course taught in Coursera.

coursera-university-of-washington

University of Washington

d2l-en

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

datasciencecoursera

datasharing

The Leek group guide to data sharing

deepxde

A library for scientific machine learning and physics-informed learning

dlsc-2023

ETH Zürich Deep Learning in Scientific Computing Master's course 2023

ep-pinns

EP-PINNs implementation for 1D and 2D forward and inverse solvers for the Aliev-Panfilov cardiac electrophysiology model. Also includes Matlab finite-differences solver for data generation.

fbpinns

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

get-started-with-jax

The purpose of this repo is to make it easy to get started with JAX, Flax, and Haiku. It contains my "Machine Learning with JAX" series of tutorials (YouTube videos and Jupyter Notebooks) as well as the content I found useful while learning about the JAX ecosystem.

handson-ml

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

harmonic-oscillator-pinn-workshop

Introductory workshop on PINNs using the harmonic oscillator

jax

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

learning-scientific_machine_learning_residual_based_attention_pinns_deeponets

Physics Informed Machine Learning Tutorials (Pytorch and Jax)

machine-learning-for-physicists

Code for "Machine Learning for Physicists 2020" lecture series

machine-learning-perceptrons

machine-learning-using-r

Source code for 'Machine Learning Using R' by Karthik Ramasubramanian and Abhishek Singh

machinelearning-classification

Classification algorithms built from scratch in python

machinelearning-svm

Perceptron and Dual Perceptron from scratch in Python and SVM models using Scikitlearn

math-logistic-regression

Python logistic regression (using a perceptron) classifier to recognize cats.

mathematics-for-machine-learning---coursera---imperial

Programming assignments and quizzes completed as part of the course Mathematics for Machine Learning Specialization by Imperial College London on Coursera.

multilayer-perceptron

A Jupyter notebook that walks through an implementation of a single-hidden layer MLP.

pbdl-book

Welcome to the Physics-based Deep Learning Book (v0.2)