amirgholami / anodeLinks
[IJCAI'19, NeurIPS'19] Anode: Unconditionally Accurate Memory-Efficient Gradients for Neural ODEs
☆104Updated 4 years ago
Alternatives and similar repositories for anode
Users that are interested in anode are comparing it to the libraries listed below
Sorting:
- Understanding normalizing flows☆132Updated 5 years ago
- repo for paper: Adaptive Checkpoint Adjoint (ACA) method for gradient estimation in neural ODE☆55Updated 4 years ago
- ☆180Updated 5 years ago
- Hypergradient descent☆148Updated last year
- Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)☆87Updated 2 years ago
- Regularized Neural ODEs (RNODE)☆82Updated 3 years ago
- Normalizing Flows in Jax☆108Updated 4 years ago
- Real NVP PyTorch a Minimal Working Example | Normalizing Flow☆138Updated 4 years ago
- Experiments for the Neural Autoregressive Flows paper☆124Updated 3 years ago
- Code for the paper Gaussian process behaviour in wide deep networks☆46Updated 6 years ago
- Pytorch implementation of Block Neural Autoregressive Flow☆178Updated 3 years ago
- Sample code for running deterministic variational inference to train Bayesian neural networks☆100Updated 6 years ago
- Tutorial on normalizing flows.☆300Updated 7 years ago
- Neural Ordinary Differential Equation☆101Updated 6 years ago
- ☆59Updated 6 years ago
- Optimizing control variates for black-box gradient estimation☆163Updated 5 years ago
- Autoregressive Energy Machines☆78Updated 2 years ago
- A Pytorch Implementation of Attentive Neural Process☆74Updated 6 years ago
- Approximate Inference Turns Deep Networks into Gaussian Processes (dnn2gp)☆48Updated 5 years ago
- ☆46Updated last year
- Pytorch implementation of Neural Processes for functions and images☆230Updated 3 years ago
- Monotone operator equilibrium networks☆52Updated 4 years ago
- [NeurIPS 2020] Neural Manifold Ordinary Differential Equations (https://arxiv.org/abs/2006.10254)☆118Updated last year
- Probabilistic classification in PyTorch/TensorFlow/scikit-learn with Fenchel-Young losses☆185Updated last year
- paper lists and information on mean-field theory of deep learning☆76Updated 6 years ago
- PyTorch-SSO: Scalable Second-Order methods in PyTorch☆146Updated last year
- Optimization with orthogonal constraints and on general manifolds☆128Updated 4 years ago
- Experiments for Meta-Learning Symmetries by Reparameterization☆56Updated 4 years ago
- Convex potential flows☆83Updated 3 years ago
- Implementation and tutorials of normalizing flows with the novel distributions module☆165Updated 4 years ago