Daulbaev / IRDMLinks
☆11Updated 5 years ago
Alternatives and similar repositories for IRDM
Users that are interested in IRDM are comparing it to the libraries listed below
Sorting:
- Models and code for the ICLR 2020 workshop paper "Towards Understanding Normalization in Neural ODEs"☆16Updated 5 years ago
- Supplementary code for the paper "Meta-Solver for Neural Ordinary Differential Equations" https://arxiv.org/abs/2103.08561☆25Updated 4 years ago
- repo for paper: Adaptive Checkpoint Adjoint (ACA) method for gradient estimation in neural ODE☆57Updated 4 years ago
- Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)☆89Updated 3 years ago
- Convex potential flows☆85Updated 4 years ago
- Riemannian Convex Potential Maps☆67Updated 2 years ago
- [NeurIPS'19] Deep Equilibrium Models Jax Implementation☆42Updated 5 years ago
- Code for "Exponential Family Estimation via Adversarial Dynamics Embedding" (NeurIPS 2019)☆14Updated 6 years ago
- ☆80Updated 4 years ago
- Gradient-free optimization method for the multidimensional arrays and discretized multivariate functions based on the tensor train (TT) f…☆38Updated 9 months ago
- Efficient Householder Transformation in PyTorch☆69Updated 4 years ago
- Regularized Neural ODEs (RNODE)☆81Updated 4 years ago
- Source code for Large-Scale Wasserstein Gradient Flows (NeurIPS 2021)☆41Updated 3 years ago
- Neural likelihood-free methods in PyTorch.☆39Updated 5 years ago
- Code for the article "What if Neural Networks had SVDs?", to be presented as a spotlight paper at NeurIPS 2020.☆77Updated last year
- PyTorch implementation of Continuously Indexed Flows paper, with many baseline normalising flows☆31Updated 4 years ago
- Monotone operator equilibrium networks☆54Updated 5 years ago
- Quadrature-based features for kernel approximation☆16Updated 7 years ago
- Implicit Deep Adaptive Design (iDAD): Policy-Based Experimental Design without Likelihoods☆21Updated 4 years ago
- Adaptive gradient descent without descent☆51Updated 4 years ago
- Code for Understanding and Mitigating Exploding Inverses in Invertible Neural Networks (AISTATS 2021) http://arxiv.org/abs/2006.09347☆30Updated 5 years ago
- ☆22Updated 4 years ago
- Normalizing Flows using JAX☆86Updated 2 years ago
- ☆50Updated 2 years ago
- ☆50Updated 5 years ago
- ☆52Updated 2 years ago
- simple JAX-/NumPy-based implementations of NGD with exact/approximate Fisher Information Matrix both in parameter-space and function-spac…☆15Updated 5 years ago
- Official code for UnICORNN (ICML 2021)☆28Updated 4 years ago
- ☆54Updated last year
- ☆22Updated 5 years ago