Model interpretability and understanding for PyTorch
☆5,699Aug 30, 2026Updated this week
Alternatives and similar repositories for captum
Users that are interested in captum 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 game theoretic approach to explain the output of any machine learning model.☆25,715Updated this week
- Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.☆31,313Updated this week
- A scikit-learn compatible neural network library that wraps PyTorch☆6,174Updated this week
- Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)☆9,584Updated this week
- High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.☆4,779Updated this week
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- Fit interpretable models. Explain blackbox machine learning.☆6,931Aug 24, 2026Updated last week
- Bayesian optimization in PyTorch☆3,591Updated this week
- Graph Neural Network Library for PyTorch☆24,047Aug 24, 2026Updated last week
- The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights --…☆37,111Updated this week
- The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.☆6,339Aug 17, 2025Updated last year
- Algorithms for explaining machine learning models☆2,643Oct 17, 2025Updated 10 months ago
- torch-optimizer -- collection of optimizers for Pytorch☆3,171Mar 22, 2024Updated 2 years ago
- Lime: Explaining the predictions of any machine learning classifier☆12,163Jul 25, 2024Updated 2 years ago
- Pytorch implementation of convolutional neural network visualization techniques☆8,236Jan 1, 2025Updated last year
- 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.
- A collection of infrastructure and tools for research in neural network interpretability.☆4,704Feb 6, 2023Updated 3 years ago
- Hydra is a framework for elegantly configuring complex applications☆10,627Updated this week
- VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.☆3,293Mar 3, 2024Updated 2 years ago
- A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch☆8,997Updated this week
- Model explainability that works seamlessly with 🤗 transformers. Explain your transformers model in just 2 lines of code.☆1,416Aug 30, 2023Updated 3 years ago
- Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125☆15,315Jun 25, 2025Updated last year
- Toolbox of models, callbacks, and datasets for AI/ML researchers.☆1,751Jan 20, 2026Updated 7 months ago
- 🐍 Geometric Computer Vision Library for Spatial AI☆11,339Updated this week
- Public facing deeplift repo☆881Apr 28, 2022Updated 4 years 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.
- Facebook AI Research Sequence-to-Sequence Toolkit written in Python.☆32,228Sep 30, 2025Updated 11 months ago
- A unified framework of perturbation and gradient-based attribution methods for Deep Neural Networks interpretability. DeepExplain also in…☆759Aug 25, 2020Updated 6 years ago
- higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather than individual tr…☆1,626Mar 25, 2022Updated 4 years ago
- Deep universal probabilistic programming with Python and PyTorch☆9,045Updated this week
- Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more☆36,230Updated this week
- PyTorch extensions for high performance and large scale training.☆3,407Apr 26, 2025Updated last year
- Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, I…☆12,960Aug 13, 2026Updated 2 weeks ago
- Hummingbird compiles trained ML models into tensor computation for faster inference.☆3,544Jul 17, 2025Updated last year
- A hyperparameter optimization framework☆14,732Updated this 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.
- Model summary in PyTorch similar to `model.summary()` in Keras☆4,053Mar 2, 2024Updated 2 years ago
- A modular framework for vision & language multimodal research from Facebook AI Research (FAIR)☆5,634Jul 7, 2026Updated last month
- 🚀 A simple way to launch, train, and use PyTorch models on almost any device and distributed configuration, automatic mixed precision (i…☆9,839Updated this week
- Accelerated deep learning R&D☆3,382Jul 8, 2026Updated last month
- Google Research☆38,659Updated this week
- Machine learning metrics for distributed, scalable PyTorch applications.☆2,465Updated this week
- A highly efficient implementation of Gaussian Processes in PyTorch☆3,906Jul 10, 2026Updated last month