Machine Learning & Simulation
3.4만
구독자
211
영상
최근 영상
Neural Emulator Superiority: A lightweight introduction
2D & 3D KS Equation in JAX using Exponax
On Autoregressive Neural Emulators for PDEs | Talk @ IRMA Strasbourg
Transformer Neural Operator in JAX
Full Lyapunov Spectrum of Chaotic Lorenz System using JAX
Podcast with @JousefM | My Channel & Research, Autodiff, Physics & Deep Learning, Education...
APEBench Talk @ Pasteur Labs Journal Club
APEBench Quickstart
Largest Lyapunov Exponent using Autodiff in JAX/Python
Lyapunov Exponent in NumPy
Autoregressive Neural Emulator for Lorenz in JAX
Parallel Lorenz Simulation in JAX
Lorenz Map in NumPy
Lorenz Simulator in NumPy
Autoregressive ResNet for Kuramoto-Sivashinsky (KS) in JAX
Autodiff and Adjoints for Differentiable Physics
Reverse Mode Autodiff in Python (general compute graph)
Unrolled vs. Implicit Autodiff
Unrolled Autodiff of iterative Algorithms
UNet Tutorial in JAX
DeepONet Tutorial in JAX
Spectral Derivative in 3d using NumPy and the RFFT
NumPy.fft.rfft2 - real-valued spectral derivatives in 2D
2D Spectral Derivatives with NumPy.FFT
Softmax - Pullback/vJp rule
Softmax - Pushforward/Jvp rule
Fourier Neural Operators (FNO) in JAX
Custom Rollout transformation in JAX (using scan)
JAX.lax.scan tutorial (for autoregressive rollout)
Upgrade the KS solver in JAX to 2nd order