Daulbaev / IRDMLinks
☆11Updated 4 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
- Quadrature-based features for kernel approximation☆16Updated 6 years ago
- Source code for Large-Scale Wasserstein Gradient Flows (NeurIPS 2021)☆32Updated 3 years ago
- [NeurIPS'19] Deep Equilibrium Models Jax Implementation☆39Updated 4 years ago
- Riemannian Convex Potential Maps☆67Updated 2 years ago
- Gradient-free optimization method for the multidimensional arrays and discretized multivariate functions based on the tensor train (TT) f…☆33Updated last month
- repo for paper: Adaptive Checkpoint Adjoint (ACA) method for gradient estimation in neural ODE☆56Updated 4 years ago
- Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)☆87Updated 2 years ago
- Efficient Householder Transformation in PyTorch☆66Updated 3 years ago
- orbital MCMC☆10Updated 4 years ago
- Official code for UnICORNN (ICML 2021)☆27Updated 3 years ago
- ☆60Updated 4 years ago
- Code for "Exponential Family Estimation via Adversarial Dynamics Embedding" (NeurIPS 2019)☆13Updated 5 years ago
- Code for the article "What if Neural Networks had SVDs?", to be presented as a spotlight paper at NeurIPS 2020.☆75Updated 11 months ago
- Convex potential flows☆83Updated 3 years ago
- Monotone operator equilibrium networks☆52Updated 5 years ago
- ☆54Updated 11 months ago
- Code for Unbiased Implicit Variational Inference (UIVI)☆14Updated 6 years ago
- PyTorch implementation of Bidirectional Monte Carlo, Annealed Importance Sampling, and Hamiltonian Monte Carlo.☆52Updated 4 years ago
- Stochastic Gradient Langevin Dynamics for Bayesian learning☆32Updated 3 years ago
- ☆49Updated 4 years ago
- [AAAI 2020 Oral] Low-variance Black-box Gradient Estimates for the Plackett-Luce Distribution☆38Updated 4 years ago
- Approximate Inference Turns Deep Networks into Gaussian Processes (dnn2gp)☆48Updated 5 years ago
- Metamodeling, sensitivity analysis and visualization using the tensor train format☆21Updated 2 years ago
- Code to minimize the Variational Contrastive Divergence (VCD)☆29Updated 6 years ago
- Riemannian Optimization Using JAX☆49Updated last year
- ☆19Updated 3 years ago
- simple JAX-/NumPy-based implementations of NGD with exact/approximate Fisher Information Matrix both in parameter-space and function-spac…☆14Updated 4 years ago
- code for "Neural Conservation Laws A Divergence-Free Perspective".☆38Updated 2 years ago