metaopt / torchoptLinks
TorchOpt is an efficient library for differentiable optimization built upon PyTorch.
☆617Updated 2 weeks ago
Alternatives and similar repositories for torchopt
Users that are interested in torchopt are comparing it to the libraries listed below
Sorting:
- TensorDict is a pytorch dedicated tensor container.☆984Updated 3 weeks ago
- Run PyTorch in JAX. 🤝☆306Updated last month
- functorch is JAX-like composable function transforms for PyTorch.☆1,436Updated 2 months ago
- MLCommons Algorithmic Efficiency is a benchmark and competition measuring neural network training speedups due to algorithmic improvement…☆400Updated last week
- Use Jax functions in Pytorch☆253Updated 2 years ago
- ☆234Updated 9 months ago
- Load tensorboard event logs as pandas DataFrames for scientific plotting; Supports both PyTorch and TensorFlow☆205Updated last year
- ☆787Updated last week
- Code for our NeurIPS 2022 paper☆369Updated 2 years ago
- OpTree: Optimized PyTree Utilities☆197Updated this week
- Hardware accelerated, batchable and differentiable optimizers in JAX.☆1,003Updated last month
- Evolution Strategies in JAX 🦎☆683Updated last month
- Betty: an automatic differentiation library for generalized meta-learning and multilevel optimization☆344Updated last year
- Optimal transport tools implemented with the JAX framework, to solve large scale matching problems of any flavor.☆669Updated 2 weeks ago
- BackPACK - a backpropagation package built on top of PyTorch which efficiently computes quantities other than the gradient.☆599Updated 10 months ago
- ASDL: Automatic Second-order Differentiation Library for PyTorch☆190Updated 11 months ago
- Constrained optimization toolkit for PyTorch☆701Updated 3 months ago
- Reduce multiple PyTorch TensorBoard runs to new event (or CSV) files.☆76Updated last week
- Second Order Optimization and Curvature Estimation with K-FAC in JAX.☆296Updated last week
- CLU lets you write beautiful training loops in JAX.☆358Updated 4 months ago
- Compositional Linear Algebra☆491Updated 3 months ago
- Library for Jacobian descent with PyTorch. It enables the optimization of neural networks with multiple losses (e.g. multi-task learning)…☆276Updated this week
- ☆605Updated 2 weeks ago
- JMP is a Mixed Precision library for JAX.☆211Updated 9 months ago
- Orbax provides common checkpointing and persistence utilities for JAX users☆452Updated this week
- This library would form a permanent home for reusable components for deep probabilistic programming. The library would form and harness a…☆309Updated 4 months ago
- Tutorial on amortized optimization for learning to optimize over continuous domains☆248Updated last month
- Laplace approximations for Deep Learning.☆527Updated 6 months ago
- For optimization algorithm research and development.☆544Updated this week
- ☆890Updated 2 weeks ago