opifex
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
Activity
- Latest release
- 1mo ago
- Total releases
- 12
- Cadence
- ~3 days
- Last 12 months
- 12
Details
- License
- custom
- First release
- May 01, 2026
| Version | Released | |
|---|---|---|
0.2.10
patch
|
0.2.10
patch
Dependencies (100)
+ 92 more |
|
0.2.9
patch
|
0.2.9
patch
Dependencies (101)
+ 93 more |
|
0.2.8
patch
|
0.2.8
patch
Dependencies (101)
+ 93 more |
|
0.2.7
patch
|
0.2.7
patch
Dependencies (101)
+ 93 more |
|
0.2.6
patch
|
0.2.6
patch
Dependencies (102)
+ 94 more |
|
0.2.5
patch
|
0.2.5
patch
Dependencies (102)
+ 94 more |
|
0.2.4
patch
|
0.2.4
patch
Dependencies (102)
+ 94 more |
|
0.2.3
patch
|
0.2.3
patch
Dependencies (102)
+ 94 more |
|
0.2.2
patch
|
0.2.2
patch
Dependencies (102)
+ 94 more |
|
0.2.1
patch
|
0.2.1
patch
Dependencies (98)
+ 90 more |
|
0.2.0
minor
|
0.2.0
minor
Dependencies (99)
+ 91 more |
|
0.1.0
initial
|
0.1.0
initial
Dependencies (97)
+ 89 more |