Welcome to the Physics-based Deep Learning Book (v0.2)
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PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C)...
Solving Inverse Physics Problems with Score Matching
Deep learning simplified by transferring prior learning using the Python deep learning ecosystem
Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science
Momentum AI course in machine learning
Master the essential skills needed to recognize and solve complex real-world problems with Machin...
Differentiable, Hardware Accelerated, Molecular Dynamics
Practical machine learning for physicists
IPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018
Official implementation of the AIAA Journal paper "Uncertainty-aware Surrogate Models for Airfoil...
this repository accompanies the book "Grokking Deep Learning"
Notes on the Deep Learning book from Ian Goodfellow, Yoshua Bengio and Aaron Courville (2016)
This repository provides a PyTorch implementation of the physics informed neural networks by M.Ra...
Notebooks for PHYS 440/540 at Drexel University
Jupyter notebooks for the code samples of the book "Deep Learning with Python"