Code for NeurIPS 2019 paper: "Tensor Programs I: Wide Feedforward or Recurrent Neural Networks of Any Architecture are Gaussian Processes"
☆252Aug 26, 2020Updated 5 years ago
Alternatives and similar repositories for GP4A
Users that are interested in GP4A are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Code for the paper: "Tensor Programs II: Neural Tangent Kernel for Any Architecture"☆110Aug 26, 2020Updated 5 years ago
- Computing the eigenvalues of Neural Tangent Kernel and Conjugate Kernel (aka NNGP kernel) over the boolean cube☆48Sep 19, 2019Updated 6 years ago
- Convolutional Neural Tangent Kernel☆112Oct 22, 2019Updated 6 years ago
- Fast and Easy Infinite Neural Networks in Python☆2,382Mar 1, 2024Updated 2 years ago
- NeurIPS 2019 Paper Implementation☆12Nov 22, 2022Updated 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.
- Reference implementation of algorithms for reinforcement learning and Markov decision processes.☆12Jan 28, 2021Updated 5 years ago
- Implementation of Graph Neural Tangent Kernel (NeurIPS 2019)☆105Jan 28, 2020Updated 6 years ago
- Software relating to relational empirical risk minimization☆16Jun 12, 2021Updated 4 years ago
- Deep neural network kernel for Gaussian process☆210Sep 8, 2020Updated 5 years ago
- [NeurIPS 2019 Spotlight] High dimensional mean estimation and outlier detection in nearly-linear time.☆26Oct 11, 2019Updated 6 years ago
- ☆35Jul 19, 2021Updated 4 years ago
- ☆45Nov 3, 2019Updated 6 years ago
- ☆12Mar 7, 2022Updated 4 years ago
- ☆12Dec 20, 2019Updated 6 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.
- Code for experiments in my blog post on the Neural Tangent Kernel: https://eigentales.com/NTK☆174Nov 10, 2019Updated 6 years ago
- Understanding Training Dynamics of Deep ReLU Networks☆306Oct 19, 2025Updated 6 months ago
- Benchmark for LP-relaxed robustness verification of ReLU-networks☆41Apr 24, 2019Updated 7 years ago
- Official Code for Invertible Residual Networks☆536Jul 28, 2024Updated last year
- PyTorch implementations of algorithms for density estimation☆587May 13, 2021Updated 4 years ago
- NTK reading group☆85Nov 14, 2019Updated 6 years ago
- Randomized Smoothing of All Shapes and Sizes (ICML 2020).☆51Jul 23, 2020Updated 5 years ago
- Pytorch implementation of Block Neural Autoregressive Flow☆183Aug 19, 2021Updated 4 years ago
- Code for our NeurIPS 2019 *spotlight* "Provably Robust Deep Learning via Adversarially Trained Smoothed Classifiers"☆227Nov 9, 2019Updated 6 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.
- Code for Implicit Generation and Generalization with Energy Based Models☆364Apr 25, 2023Updated 3 years ago
- List of awesome JAX resources☆13Dec 8, 2022Updated 3 years ago
- Notebooks for reproducing the paper "Computer Vision with a Single (Robust) Classifier"☆129Oct 24, 2019Updated 6 years ago
- ☆153May 25, 2020Updated 5 years ago
- Normalizing flows in PyTorch. Current intended use is education not production.☆915Jan 27, 2020Updated 6 years ago
- Layered distributions using FLAX/JAX☆10Dec 13, 2020Updated 5 years ago
- Public Codebase for Rethinking Parameter Counting: Effective Dimensionality Revisited☆37Dec 27, 2022Updated 3 years ago
- maximal update parametrization (µP)☆1,704Jul 17, 2024Updated last year
- Differentiable convex optimization layers☆2,091Apr 21, 2026Updated 2 weeks 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.
- higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather than individual tr…☆1,627Mar 25, 2022Updated 4 years ago
- BackPACK - a backpropagation package built on top of PyTorch which efficiently computes quantities other than the gradient.☆611Nov 28, 2025Updated 5 months ago
- Fast, general, and tested differentiable structured prediction in PyTorch☆1,128Apr 20, 2022Updated 4 years ago
- This repository contains notebook implementations of the following Neural Process variants: Conditional Neural Processes (CNPs), Neural P…☆1,019Jan 19, 2021Updated 5 years ago
- A lightweight library for tensorflow 2.0☆65Dec 3, 2019Updated 6 years ago
- Limitations of the Empirical Fisher Approximation☆49Mar 3, 2025Updated last year
- Project site for "Your Classifier is Secretly an Energy-Based Model and You Should Treat it Like One"☆432Sep 16, 2022Updated 3 years ago