KErnel OPerationS, on CPUs and GPUs, with autodiff and without memory overflows
☆1,191Jul 17, 2026Updated 3 weeks ago
Alternatives and similar repositories for keops
Users that are interested in keops are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Geometric loss functions between point clouds, images and volumes☆712May 12, 2026Updated 2 months ago
- A highly efficient implementation of Gaussian Processes in PyTorch☆3,902Jul 10, 2026Updated 3 weeks ago
- POT : Python Optimal Transport☆2,834Jul 29, 2026Updated last week
- Large-scale, multi-GPU capable, kernel solver☆200Updated this week
- functorch is JAX-like composable function transforms for PyTorch.☆1,434Aug 21, 2025Updated 11 months 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.
- Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)☆9,569Jul 5, 2026Updated last month
- higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather than individual tr…☆1,628Mar 25, 2022Updated 4 years ago
- PyTorch Extension Library of Optimized Scatter Operations☆1,745Jun 3, 2026Updated 2 months ago
- ⚡️Optimizing einsum functions in NumPy, Tensorflow, Dask, and more with contraction order optimization.☆989Mar 19, 2026Updated 4 months ago
- Hardware accelerated, batchable and differentiable optimizers in JAX.☆1,056Jun 4, 2026Updated 2 months ago
- Fast, differentiable sorting and ranking in PyTorch☆866Mar 3, 2026Updated 5 months ago
- Differentiable SDE solvers with GPU support and efficient sensitivity analysis.☆1,727Dec 30, 2024Updated last year
- BackPACK - a backpropagation package built on top of PyTorch which efficiently computes quantities other than the gradient.☆615Jul 17, 2026Updated 3 weeks ago
- Differentiable convex optimization layers☆2,123May 19, 2026Updated 2 months ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods☆1,576May 2, 2024Updated 2 years ago
- Optax is a gradient processing and optimization library for JAX.☆2,313Updated this week
- Elegant easy-to-use neural networks + scientific computing in JAX. https://docs.kidger.site/equinox/☆2,941Updated this week
- Software dev. for data science (Python)☆16May 1, 2025Updated last year
- Bayesian optimization in PyTorch☆3,581Updated this week
- Fast and Easy Infinite Neural Networks in Python☆2,386Mar 1, 2024Updated 2 years ago
- Type annotations and dynamic checking for a tensor's shape, dtype, names, etc.☆1,484May 2, 2025Updated last year
- Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.☆2,732Updated this week
- Graph Neural Network Library for PyTorch☆23,995Jul 31, 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.
- Optimal transport tools implemented with the JAX framework, to solve large scale matching problems of any flavor.☆752Jun 14, 2026Updated last month
- Probabilistic Numerics in Python.☆461Jul 3, 2025Updated last year
- Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/☆2,083Jun 21, 2026Updated last month
- Gaussian processes in JAX and Equinox.☆647Updated this week
- Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more☆36,125Updated this week
- Constrained optimization toolkit for PyTorch☆712Jun 7, 2026Updated 2 months ago
- Fast, general, and tested differentiable structured prediction in PyTorch☆1,132Apr 20, 2022Updated 4 years ago
- Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.☆6,472Apr 4, 2025Updated last year
- Computations and statistics on manifolds with geometric structures.