How this analysis was created: This summary and feature list are AI-generated from collected project material and can contain mistakes. Stars, license and language are imported from GitHub. Inclusion does not mean that we have tested or audited this project. Check the source documentation for any feature you depend on. Learn more on our About page.
A PyTorch implementation of Learning to learn by gradient descent by gradient descent
The main features of ikostrikov/pytorch-meta-optimizer are: Model Implementations, Optimization Tools, Optimization.
Projects with overlapping indexed features include: locuslab/optnet — OptNet: Differentiable Optimization as a Layer in Neural Networks. episodeyang/deep-auto-punctuation. amdegroot/pytorch-containers. cemoody/topicsne. edouardoyallon/scalingscattering. edouardoyallon/pyscatwave — Fast Scattering Transform with CuPy/PyTorch.
OptNet: Differentiable Optimization as a Layer in Neural Networks