[NeurIPS'19] Deep Equilibrium Models Jax Implementation
☆43Oct 26, 2020Updated 5 years ago
Alternatives and similar repositories for deq-jax
Users that are interested in deq-jax are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- [NeurIPS'19] Deep Equilibrium Models☆805Jul 4, 2022Updated 4 years ago
- Monotone operator equilibrium networks☆53Jun 22, 2020Updated 6 years ago
- Convex potential flows☆87Nov 19, 2021Updated 4 years ago
- PyTorch block-diagonal ODE CUDA solver, designed for gradient-based optimization☆16Apr 27, 2020Updated 6 years ago
- Code for "Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations"☆171Feb 11, 2022Updated 4 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Initial Commit☆20Dec 1, 2020Updated 5 years ago
- ☆28Jan 31, 2022Updated 4 years ago
- Supplementary code for the paper "Meta-Solver for Neural Ordinary Differential Equations" https://arxiv.org/abs/2103.08561☆25Mar 30, 2021Updated 5 years ago
- Repo reproducing experimental results in "Addressing the Topological Defects of Disentanglement"☆24Jul 15, 2022Updated 4 years ago
- Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)☆92Oct 19, 2022Updated 3 years ago
- ☆214Jan 31, 2022Updated 4 years ago
- Code for "Training Deep Energy-Based Models with f-Divergence Minimization" ICML 2020☆38Mar 24, 2023Updated 3 years ago
- Jax implementation of "Griffin: Mixing Gated Linear Recurrences with Local Attention for Efficient Language Models"☆15May 10, 2024Updated 2 years ago
- Probabilistic Solution of Differential Equations☆13Jun 19, 2022Updated 4 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- This is an article about using variational autoencoders for the generation of new data. It contains the code for generating the plots and…☆12Feb 15, 2021Updated 5 years ago
- A Review of Sensitivity Methods for Differential Equations☆34Nov 26, 2024Updated last year
- Port-Hamiltonian Approach to Neural Network Training☆27Dec 11, 2019Updated 6 years ago
- Repository for the "Gotta Go Fast When Generating Data with Score-Based Models" paper☆105Nov 20, 2021Updated 4 years ago
- Official code for the ICLR 2021 paper Neural ODE Processes☆76May 1, 2022Updated 4 years ago
- ICML 2020 Paper: Latent Variable Modelling with Hyperbolic Normalizing Flows☆55Dec 8, 2022Updated 3 years ago
- Implementation of Spectral State Space Models☆16Feb 23, 2024Updated 2 years ago
- This is the official source code for Sequential Neural Processes.☆42Dec 8, 2022Updated 3 years ago
- Multiple dispatch over abstract array types in JAX.☆142Updated this week
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- The official code for Efficient Learning of Generative Models via Finite-Difference Score Matching☆12Nov 22, 2022Updated 3 years ago
- Symplectic Recurrent Neural Networks☆29Jan 18, 2023Updated 3 years ago
- ☆14Jan 29, 2021Updated 5 years ago
- ☆15Dec 31, 2020Updated 5 years ago
- Simple, extensible implementations of some meta-learning algorithms in Jax☆11Oct 6, 2020Updated 5 years ago
- Official code repository of the paper Linear Transformers Are Secretly Fast Weight Programmers.☆115Jun 10, 2021Updated 5 years ago
- Probabilistic Numerical Differential Equation solvers via Bayesian filtering and smoothing☆133Jul 14, 2026Updated last week
- Tools for an Aesara-based PPL.☆67Oct 28, 2024Updated last year
- ☆104Feb 6, 2021Updated 5 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- Implicit networks can be trained efficiently and simply by using Jacobian-free Backprop (JFB).☆42Dec 7, 2021Updated 4 years ago
- Named Tensors for Legible Deep Learning in JAX☆226Nov 8, 2025Updated 8 months ago
- Turning SymPy expressions into JAX functions☆45Mar 17, 2021Updated 5 years ago
- Generalizing to New Physical Systems via Context-Informed Dynamics Model☆28May 6, 2024Updated 2 years ago
- A differentiable LCP physics engine in PyTorch.☆315Jan 8, 2021Updated 5 years ago
- Turning SymPy expressions into PyTorch modules.☆160Jul 24, 2023Updated 3 years ago
- Modern Fixed Point Systems using Pytorch☆133Oct 31, 2023Updated 2 years ago