google / neural-tangentsLinks
Fast and Easy Infinite Neural Networks in Python
☆2,358Updated last year
Alternatives and similar repositories for neural-tangents
Users that are interested in neural-tangents are comparing it to the libraries listed below
Sorting:
- JAX-based neural network library☆3,110Updated last month
- higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather than individual tr…☆1,625Updated 3 years ago
- This repository contains notebook implementations of the following Neural Process variants: Conditional Neural Processes (CNPs), Neural P…☆1,004Updated 4 years ago
- A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods☆1,531Updated last year
- Differentiable SDE solvers with GPU support and efficient sensitivity analysis.☆1,678Updated 9 months ago
- A pedagogical implementation of Autograd☆997Updated 5 years ago
- functorch is JAX-like composable function transforms for PyTorch.☆1,436Updated 2 months ago
- [NeurIPS'19] Deep Equilibrium Models☆775Updated 3 years ago
- A highly efficient implementation of Gaussian Processes in PyTorch☆3,781Updated 2 weeks ago
- High-quality implementations of standard and SOTA methods on a variety of tasks.☆1,541Updated 4 months ago
- BackPACK - a backpropagation package built on top of PyTorch which efficiently computes quantities other than the gradient.☆595Updated 9 months ago
- KErnel OPerationS, on CPUs and GPUs, with autodiff and without memory overflows☆1,135Updated last week
- Normalizing flows in PyTorch. Current intended use is education not production.☆882Updated 5 years ago
- Hopfield Networks is All You Need☆1,861Updated 2 years ago
- A Graph Neural Network Library in Jax☆1,451Updated last year
- A simple probabilistic programming language.☆699Updated last month
- Constrained optimization toolkit for PyTorch☆699Updated 3 months ago
- Bayesian optimization in PyTorch☆3,378Updated this week
- A Python toolbox for performing gradient-free optimization☆4,122Updated 4 months ago
- Optax is a gradient processing and optimization library for JAX.☆2,051Updated this week
- ML Collections is a library of Python Collections designed for ML use cases.☆989Updated 2 months ago
- Differentiable convex optimization layers☆1,998Updated this week
- torch-optimizer -- collection of optimizers for Pytorch☆3,146Updated last year
- JAX - A curated list of resources https://github.com/google/jax☆1,951Updated last month
- Flax is a neural network library for JAX that is designed for flexibility.☆6,878Updated this week
- disentanglement_lib is an open-source library for research on learning disentangled representations.☆1,413Updated 4 years ago
- TensorLy: Tensor Learning in Python.☆1,637Updated 5 months ago
- Fast, differentiable sorting and ranking in PyTorch☆840Updated 4 months ago
- Computations and statistics on manifolds with geometric structures.☆1,418Updated 3 weeks ago
- Bayesian Deep Learning Benchmarks☆672Updated 2 years ago