jax md: a framework for differentiable atomistic physics
Published 3 years ago • 3.7K plays • Length 1:33:38Download video MP4
Download video MP3
Similar videos
-
1:27:52
jax md: a framework for differentiable atomistic physics
-
27:54
ming lin - differentiable physics for learning and control
-
1:00:02
differentiable physics simulations for deep learning
-
1:53:43
icml 2024 tutorial: physics of language models
-
2:06:19
icml 2024 tutorial"machine learning on function spaces #neuraloperators"
-
1:06:55
fourier neural operators (fno) in jax
-
17:46
fourier neural operator (fno) [physics informed machine learning]
-
50:20
brax: a new differentiable physics engine
-
2:39:40
google's jax md (molecular dynamics)
-
1:06:26
ddps | differentiable physics simulations for deep learning
-
1:24:12
autodiff and adjoints for differentiable physics
-
59:56
anima anandkumar - neural operator: a new paradigm for learning pdes