opifex 0.2.10
Scientific machine learning for JAX/Flax NNX: neural operators, physics-informed networks, E(3)-equivariant atomistic potentials, differentiable DFT, SINDy equation discovery and uncertainty quantification, with PDEBench benchmarking
Sources
- T1opifex 0.2.10PyPI / crates.io / RubyGems / Go index / NuGet