Releases: pnnl/neuromancer
Releases · pnnl/neuromancer
v1.5.1
Version 1.5.1 Release Notes
- Enhancement: Now supports integration of all Lightning hooks into the Neuromancer Lightning trainer. Please refer to Lightning examples README for more information
- Deprecated WandB hyperparameter tuning via
LitTrainer
for now - New feature: TorchSDE integration with Neuromancer core library, namely
torchsde.sdeint()
. Motivating example for system ID on stochastic process found in examples/sdes/sde_walkthrough.ipynb - New feature: Stacked physics-informed neural networks
- New feature: SINDy -- sparse system identification of nonlinear dynamical systems
v1.5.0
Version 1.5.0 Release Notes
New Feature: PyTorch Lightning Integration with NeuroMANCER core library. All these features are opt-in.
- Code simplifications: zero boilerplate code, increased modularity
- Added ability for user to define custom training logic
- Easy support for GPU and multi-GPU training
- Easy Weights and Biases (https://wandb.ai/site) hyperparameter tuning and Tensorboard Logging
NeuroMANCER v1.4.2
Version 1.4.2 Release Notes
- New feature: Update violation energy for projected gradient #110 (based on idea #86).
- Reverted
psl.nonautonomous.TwoTank
(umin, umax)
bounds to(0.5, 0.5)
for numerical stability #105 - Added new unit tests for
problem.py
andsystem.py
#107 - Automated docs build from
master -> gh-pages
#107 - Fixed positional arg error and added support for Time data in
file_emulator.py
#119 - Fixed a bug in
System
which caused incorrect visualization of the computational graph - Minor updates to examples