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_placeholder for ideas mini site_
changelog:
2024-02-05 added **why:**
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@MikeInnes and I had a long discussion of this.
One might reasonably want to use a different optimizer for different parts of the network.
Or equivelently, different optimizer params (e.g. learni…
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On the following image, any quality value under
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## Keyword: sgd
There is no result
## Keyword: optimization
### A Model-Constrained Tangent Manifold Learning Approach for Dynamical Systems
- **Authors:** Authors: Hai Van Nguyen, Tan Bui-Thanh
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High-level API for model training similar to PyTorch Lightning.
One advantage over Python is that we don't need a separate module type to add methods to a model class (e.g. train_step() and similar…
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I'm recently starting to re-implement PILCO in pytorch for better intergration with my other works. To leverage the fast prediction (KISS-GP) in gpytorch, I decided to use MCMC sampling approach to im…
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Hello Mihai,
I have tried your project but I get a very bad reconstructed umbrella (bundled sample), very far from DynamicFusion video of the paper. Is this project still a work in progress and not…
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The WORHP library provides additional utilities for doing sensitivity analysis once the optimal and feasible solution is found. This provides a powerful and fast way to estimate the local effects of c…
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What other models do we want to support? ANI is done and SchNet is nearing completion. What are the next top priorities?
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Hi @patrick-kidger, as promised I wanted to help improve some of the optimisation methods in optimistix. I'd like to start with the LM implementation.
## Trust region acceptance
The implemented …