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facebookresearch/higherArchived

0
View on GitHub↗
1,627 stars·127 forks·Python·Apache-2.0·10 views

Higher

higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather than individual training steps.

Features

  • Developer Tools - Higher-order gradients library.
  • Meta Learning Libraries - PyTorch library for higher-order gradient optimization in meta-learning.
  • PyTorch Utilities - Listed in the “PyTorch Utilities” section of the The Incredible Pytorch awesome list.

Star history

Star history chart for facebookresearch/higherStar history chart for facebookresearch/higher

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.

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Projects sharing features with Higher

These projects share indexed features with Higher. Shared tags can include platform or build tooling; verify the primary use case before treating a result as a replacement.
  • awwong1/torchprofawwong1 avatar

    awwong1/torchprof

    605View on GitHub↗

    PyTorch layer-by-layer model profiler

    Python
    View on GitHub↗605
  • catalyst-team/catalystcatalyst-team avatar

    catalyst-team/catalyst

    3,376View on GitHub↗

    Accelerated deep learning R&D

    Python
    View on GitHub↗3,376
  • ag14774/diffdistag14774 avatar

    ag14774/diffdist

    62View on GitHub↗
    Python
    View on GitHub↗62
  • cvxgrp/cvxpylayerscvxgrp avatar

    cvxgrp/cvxpylayers

    2,106View on GitHub↗

    CVXPYlayers is a Python library for constructing differentiable convex optimization layers in PyTorch, JAX, and MLX using CVXPY. A convex optimization layer solves a parametrized convex optimization problem in the forward pass to produce a solution. It computes the derivative of the solution…

    Python
    View on GitHub↗2,106
Compare all 30 related projects→

Frequently asked questions

What does facebookresearch/higher do?

higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather than individual training steps.

What are the main features of facebookresearch/higher?

The main features of facebookresearch/higher are: Developer Tools, Meta Learning Libraries, PyTorch Utilities.

Which projects share features with facebookresearch/higher?

Projects with overlapping indexed features include: catalyst-team/catalyst — Accelerated deep learning R&D. determined-ai/determined — Determined is an open-source machine learning platform that simplifies distributed training, hyperparameter tuning,… ag14774/diffdist. awwong1/torchprof — PyTorch layer-by-layer model profiler. cvxgrp/cvxpylayers — CVXPYlayers is a Python library for constructing differentiable convex optimization layers in PyTorch, JAX, and MLX… ecs-vlc/torchbearer — torchbearer: A model fitting library for PyTorch.