google / neural-tangentsLinks
Fast and Easy Infinite Neural Networks in Python
☆2,345Updated 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☆3,047Updated this week
- A highly efficient implementation of Gaussian Processes in PyTorch☆3,720Updated 3 months ago
- Flax is a neural network library for JAX that is designed for flexibility.☆6,624Updated this week
- Bayesian optimization in PyTorch☆3,285Updated last week
- Differentiable SDE solvers with GPU support and efficient sensitivity analysis.☆1,654Updated 5 months ago
- Optax is a gradient processing and optimization library for JAX.☆1,916Updated this week
- functorch is JAX-like composable function transforms for PyTorch.☆1,432Updated this week
- higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather than individual tr…☆1,621Updated 3 years ago
- A Graph Neural Network Library in Jax☆1,433Updated last year
- BackPACK - a backpropagation package built on top of PyTorch which efficiently computes quantities other than the gradient.☆587Updated 5 months ago
- A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods☆1,504Updated last year
- A simple probabilistic programming language.☆697Updated 3 months ago
- JAX - A curated list of resources https://github.com/google/jax☆1,838Updated 4 months ago
- A pedagogical implementation of Autograd☆984Updated 5 years ago
- High-quality implementations of standard and SOTA methods on a variety of tasks.☆1,512Updated last week
- KErnel OPerationS, on CPUs and GPUs, with autodiff and without memory overflows☆1,099Updated this week
- Hardware accelerated, batchable and differentiable optimizers in JAX.☆974Updated 2 months ago
- Elegant easy-to-use neural networks + scientific computing in JAX. https://docs.kidger.site/equinox/☆2,394Updated this week
- This repository contains notebook implementations of the following Neural Process variants: Conditional Neural Processes (CNPs), Neural P…☆1,005Updated 4 years ago
- Bayesian Deep Learning Benchmarks☆671Updated 2 years ago
- torch-optimizer -- collection of optimizers for Pytorch☆3,115Updated last year
- Code for visualizing the loss landscape of neural nets☆3,019Updated 3 years ago
- ☆1,329Updated last month
- Differentiable convex optimization layers☆1,949Updated 2 weeks ago
- Constrained optimization toolkit for PyTorch☆682Updated 3 years ago
- Normalizing flows in PyTorch. Current intended use is education not production.☆869Updated 5 years ago
- Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.☆6,016Updated 2 months ago
- [NeurIPS'19] Deep Equilibrium Models☆750Updated 2 years ago
- Hopfield Networks is All You Need☆1,812Updated 2 years ago
- code for "FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models".☆643Updated 4 years ago