Stars
A collection of the application documents I used to apply to universities in the US.
Three Dimensional Magnetohydrodynamic(MHD) pseudospectral solvers written in julia with FourierFlows.jl
1d discontinuous galerkin fortran code integrated with a neural net
These are a set of interactive notes where I review the basics of collocation spectral methods.
lehmannfa / MIFNO
Code to train a Multiple-Input Fourier Neural Operator (MIFNO) to predict the solution of 3D source-dependent Partial Differential Equations (PDEs)
Code to run 3D simulations of the elastic wave equation and predict outputs with 3D neural operators
Open Machine learning Projects
Dataset used in the Python Language Companion to Applied Linear Algebra. Vectors, Matrices, and Least Squares
ML based projects such as Spam Classification, Time Series Analysis, Text Classification using Random Forest, Deep Learning, Bayesian, Xgboost in Python
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.
A curated list of awesome Machine Learning frameworks, libraries and software.
Bogazici University CmpE 150 Introduction to Computing (Python programming language) Notes
📚 Books everyone should read!
BadeaTayea / notes
Forked from atcemgil/notesContains Example Programs and Notebooks for some courses at Bogazici University, Department of Computer Engineering
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
A curated list of awesome Deep Learning tutorials, projects and communities.
A repository for implementation of artificial intelligence algorithm which includes machine learning and deep learning algorithm as well as classical AI search algorithm
🤖 Machine Learning Summer School Guide
Repository of my solutions to the problems of "Learning from Data"
记录Learning from data一书中的习题解答
Solutions to the exercises and problems in the book: Learn From Data_A Short Course by Yaser Abu-Mostafa, Malik Magdon-Ismail and Hsuan-Tien Lin
ageron / awesome-tensorflow
Forked from jtoy/awesome-tensorflowTensorFlow - A curated list of dedicated resources http://tensorflow.org
TensorFlow Tutorials with YouTube Videos
Jupyter notebooks on differential equations and how to solve them using Python.