facebookresearch / higherLinks
higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather than individual training steps.
☆1,622Updated 3 years ago
Alternatives and similar repositories for higher
Users that are interested in higher are comparing it to the libraries listed below
Sorting:
- A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch☆2,035Updated last year
- A PyTorch Library for Meta-learning Research☆2,806Updated last year
- A dataset of datasets for learning to learn from few examples☆785Updated last year
- The original code for the paper "How to train your MAML" along with a replication of the original "Model Agnostic Meta Learning" (MAML) p…☆809Updated last year
- disentanglement_lib is an open-source library for research on learning disentangled representations.☆1,403Updated 4 years ago
- A simple way to calibrate your neural network.☆1,153Updated 3 years ago
- High-quality implementations of standard and SOTA methods on a variety of tasks.☆1,516Updated 3 weeks ago
- [NeurIPS'19] Deep Equilibrium Models☆753Updated 3 years ago
- This repository contains notebook implementations of the following Neural Process variants: Conditional Neural Processes (CNPs), Neural P…☆1,005Updated 4 years ago
- BackPACK - a backpropagation package built on top of PyTorch which efficiently computes quantities other than the gradient.☆588Updated 6 months ago
- Fast, differentiable sorting and ranking in PyTorch☆817Updated last month
- Relevant papers in Continual Learning☆731Updated last year
- Efficient PyTorch Hessian eigendecomposition tools!☆374Updated last year
- A repository in preparation for open-sourcing lottery ticket hypothesis code.☆632Updated 2 years ago
- Fast Differentiable Sorting and Ranking☆605Updated last year
- Toolbox of models, callbacks, and datasets for AI/ML researchers.☆1,730Updated this week
- Fast and Easy Infinite Neural Networks in Python☆2,351Updated last year
- Approximating Wasserstein distances with PyTorch☆459Updated 2 years ago
- torch-optimizer -- collection of optimizers for Pytorch☆3,124Updated last year
- Code for visualizing the loss landscape of neural nets☆3,026Updated 3 years ago
- An Implementation of Model-Agnostic Meta-Learning in PyTorch with Torchmeta☆235Updated 5 years ago
- Code snippets created for the PyTorch discussion board☆568Updated 4 years ago
- PyTorch implementation of Contrastive Learning methods☆1,986Updated last year
- Profiling and inspecting memory in pytorch☆1,061Updated 11 months ago
- A lightweight library for PyTorch training tools and utilities☆1,700Updated this week
- KErnel OPerationS, on CPUs and GPUs, with autodiff and without memory overflows☆1,106Updated last week
- Normalizing flows in PyTorch. Current intended use is education not production.☆872Updated 5 years ago
- Project site for "Your Classifier is Secretly an Energy-Based Model and You Should Treat it Like One"☆423Updated 2 years ago
- Deep InfoMax (DIM), or "Learning Deep Representations by Mutual Information Estimation and Maximization"☆807Updated 6 years ago
- Riemannian Adaptive Optimization Methods with pytorch optim☆944Updated 3 weeks ago