torchopt
Adan-pytorch
torchopt | Adan-pytorch | |
---|---|---|
1 | 1 | |
501 | 240 | |
4.4% | - | |
7.1 | 3.2 | |
3 days ago | over 1 year ago | |
Python | Python | |
Apache License 2.0 | MIT License |
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torchopt
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What is the most efficient approach to ensemble a pytorch actor-critic model?
I would suggest checking https://pytorch.org/functorch/ and https://github.com/metaopt/torchopt for efficient inference and training with ensembles (e.g., t be independent actors in a multi-agent setting or multiple critics).
Adan-pytorch
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I tried the new adan optimizer..... Promising results(?)
Sometimes, google tries to be useful by recommending stuff like this https://github.com/lucidrains/Adan-pytorch
What are some alternatives?
jaxopt - Hardware accelerated, batchable and differentiable optimizers in JAX.
Sophia - Effortless plugin and play Optimizer to cut model training costs by 50%. New optimizer that is 2x faster than Adam on LLMs.
symbolicai - Compositional Differentiable Programming Library
Adan - Adan: Adaptive Nesterov Momentum Algorithm for Faster Optimizing Deep Models
theseus - A library for differentiable nonlinear optimization
adan-experiments - Checking out the new adan optimizer
functorch - functorch is JAX-like composable function transforms for PyTorch.
AdamP - AdamP: Slowing Down the Slowdown for Momentum Optimizers on Scale-invariant Weights (ICLR 2021)
pennylane - PennyLane is a cross-platform Python library for differentiable programming of quantum computers. Train a quantum computer the same way as a neural network.