Fast Differentiable Sorting and Ranking
☆622Feb 15, 2024Updated 2 years ago
Alternatives and similar repositories for fast-soft-sort
Users that are interested in fast-soft-sort are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Fast, differentiable sorting and ranking in PyTorch☆865Mar 3, 2026Updated 7 months ago
- Differentiable bitonic sorting☆141Jul 10, 2020Updated 6 years ago
- Differentiable Sorting Networks☆130Aug 9, 2023Updated 3 years ago
- ☆214Jan 31, 2022Updated 4 years ago
- Pytorch library for fast transformer implementations☆1,782Mar 23, 2023Updated 3 years ago
- 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.
- Fast, general, and tested differentiable structured prediction in PyTorch☆1,134Apr 20, 2022Updated 4 years ago
- PiRank: Learning to Rank via Differentiable Sorting☆62Mar 24, 2023Updated 3 years ago
- KErnel OPerationS, on CPUs and GPUs, with autodiff and without memory overflows☆1,192Jul 17, 2026Updated 2 months ago
- ☆50Oct 22, 2020Updated 5 years ago
- Experiment code for "Randomized Automatic Differentiation"☆67Jul 22, 2020Updated 6 years ago
- Torch modules that wrap blackbox combinatorial solvers according to the method presented in "Differentiating Blackbox Combinatorial Solve…☆357Dec 21, 2021Updated 4 years ago
- Differentiable convex optimization layers☆2,142Sep 24, 2026Updated 2 weeks ago
- Implicit MLE: Backpropagating Through Discrete Exponential Family Distributions☆260Oct 29, 2023Updated 2 years ago
- Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)☆9,616Aug 26, 2026Updated last month
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- Hardware accelerated, batchable and differentiable optimizers in JAX.☆1,066Oct 6, 2026Updated last week
- higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather than individual tr…☆1,624Mar 25, 2022Updated 4 years ago
- torch-optimizer -- collection of optimizers for Pytorch☆3,172Mar 22, 2024Updated 2 years ago
- Code for "SoftSort: A Continuous Relaxation for the argsort Operator", ICML 2020.☆53Mar 24, 2023Updated 3 years ago
- Sinkhorn Transformer - Practical implementation of Sparse Sinkhorn Attention☆272Aug 10, 2021Updated 5 years ago
- Differentiable Top-k Classification Learning☆95Jan 3, 2023Updated 3 years ago
- ☆10May 9, 2021Updated 5 years ago
- Probabilistic classification in PyTorch/TensorFlow/scikit-learn with Fenchel-Young losses☆196Sep 19, 2023Updated 3 years ago
- A framework for implementing equivariant DL☆10May 25, 2021Updated 5 years ago
- 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 last year
- PyTorch implementation of L2L execution algorithm☆109Jan 16, 2023Updated 3 years ago
- Code for "Stochastic Optimization of Sorting Networks using Continuous Relaxations", ICLR 2019.☆151Mar 24, 2023Updated 3 years ago
- A highly efficient implementation of Gaussian Processes in PyTorch☆3,925Oct 2, 2026Updated last week
- Hopfield Networks is All You Need☆1,966Apr 23, 2023Updated 3 years ago
- ☆774Jan 27, 2024Updated 2 years ago
- JAX-based neural network library☆3,290Oct 5, 2026Updated last week
- Documentation:☆132May 22, 2023Updated 3 years ago
- Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)☆93Oct 19, 2022Updated 3 years ago
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- Library for faster pinned CPU <-> GPU transfer in Pytorch☆682Feb 21, 2020Updated 6 years ago
- Manifold-learning flows (ℳ-flows)☆238Nov 13, 2020Updated 5 years ago
- A GPipe implementation in PyTorch☆866Jul 25, 2024Updated 2 years ago
- Reformer, the efficient Transformer, in Pytorch☆2,193Jun 21, 2023Updated 3 years ago
- The entmax mapping and its loss, a family of sparse softmax alternatives.☆474Jun 22, 2024Updated 2 years ago
- Constrained optimization toolkit for PyTorch☆712Jun 7, 2026Updated 4 months ago
- ☆15Mar 30, 2020Updated 6 years ago