higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather than individual training steps.
☆1,628Mar 25, 2022Updated 4 years ago
Alternatives and similar repositories for higher
Users that are interested in higher are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch☆2,062Jul 17, 2023Updated 3 years ago
- A PyTorch Library for Meta-learning Research☆2,891Dec 16, 2025Updated 7 months ago
- Fast, general, and tested differentiable structured prediction in PyTorch☆1,132Apr 20, 2022Updated 4 years ago
- The original code for the paper "How to train your MAML" along with a replication of the original "Model Agnostic Meta Learning" (MAML) p…☆41Oct 28, 2020Updated 5 years ago
- Bayesian optimization in PyTorch☆3,579Jul 21, 2026Updated 2 weeks ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- BackPACK - a backpropagation package built on top of PyTorch which efficiently computes quantities other than the gradient.☆615Jul 17, 2026Updated 2 weeks ago
- ☆126Jun 3, 2024Updated 2 years ago
- Fast and Easy Infinite Neural Networks in Python☆2,386Mar 1, 2024Updated 2 years ago
- The original code for the paper "How to train your MAML" along with a replication of the original "Model Agnostic Meta Learning" (MAML) p…☆826Dec 5, 2023Updated 2 years ago
- Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)☆9,569Jul 5, 2026Updated last month
- Differentiable convex optimization layers☆2,121May 19, 2026Updated 2 months ago
- A highly efficient implementation of Gaussian Processes in PyTorch☆3,902Jul 10, 2026Updated 3 weeks ago
- High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.☆4,772Updated this week
- A Python toolbox for performing gradient-free optimization☆4,199Jul 24, 2026Updated last week
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- functorch is JAX-like composable function transforms for PyTorch.☆1,434Aug 21, 2025Updated 11 months ago
- PyTorch layer-by-layer model profiler☆605May 23, 2021Updated 5 years ago
- ☆774Jan 27, 2024Updated 2 years ago
- torch-optimizer -- collection of optimizers for Pytorch☆3,168Mar 22, 2024Updated 2 years ago
- Reinforcement Learning in PyTorch☆2,278Jan 4, 2021Updated 5 years ago
- Probabilistic Torch is library for deep generative models that extends PyTorch☆893May 12, 2024Updated 2 years ago
- Model interpretability and understanding for PyTorch☆5,683Jul 31, 2026Updated last week
- Efficient PyTorch Hessian eigendecomposition tools!☆473Updated this week
- [NeurIPS'19] Deep Equilibrium Models☆805Jul 4, 2022Updated 4 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Codebase for Image Classification Research, written in PyTorch.☆2,163Mar 20, 2024Updated 2 years ago
- PyTorch extensions for high performance and large scale training.☆3,409Apr 26, 2025Updated last year
- JAX-based neural network library☆3,267Updated this week
- Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.☆31,274Updated this week
- PyTorch code for the "Deep Neural Networks with Box Convolutions" paper☆508Jan 20, 2020Updated 6 years ago
- A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch☆8,989Updated this week
- Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.☆6,472Apr 4, 2025Updated last year
- Write PyTorch code at the level of individual examples, then run it efficiently on minibatches.☆486Feb 12, 2022Updated 4 years ago
- KErnel OPerationS, on CPUs and GPUs, with autodiff and without memory overflows☆1,189Jul 17, 2026Updated 2 weeks ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- PyTorch original implementation of Cross-lingual Language Model Pretraining.☆2,921Feb 14, 2023Updated 3 years ago
- A modular framework for vision & language multimodal research from Facebook AI Research (FAIR)☆5,636Jul 7, 2026Updated 3 weeks ago
- An Implementation of Model-Agnostic Meta-Learning in PyTorch with Torchmeta☆241Jul 7, 2020Updated 6 years ago
- VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.☆3,294Mar 3, 2024Updated 2 years ago
- Library for faster pinned CPU <-> GPU transfer in Pytorch☆682Feb 21, 2020Updated 6 years ago
- Elegant PyTorch implementation of paper Model-Agnostic Meta-Learning (MAML)☆2,483May 16, 2019Updated 7 years ago
- Accelerated deep learning R&D☆3,380Jul 8, 2026Updated 3 weeks ago