matwilso / maml_numpy
Implementation of MAML in numpy, deriving gradients and implementing backprop manually
☆14Updated 6 years ago
Alternatives and similar repositories for maml_numpy:
Users that are interested in maml_numpy are comparing it to the libraries listed below
- Implementation of the Functional Neural Process models☆43Updated 4 years ago
- Code to accompany paper 'Bayesian Deep Ensembles via the Neural Tangent Kernel'☆26Updated 4 years ago
- This is the official source code for Sequential Neural Processes.☆40Updated 2 years ago
- Pytorch implementation of neural processes and variants☆27Updated 8 months ago
- Pytorch version of "Deep Convolutional Networks as shallow Gaussian Processes" by Adrià Garriga-Alonso, Carl Rasmussen and Laurence Aitch…☆32Updated 4 years ago
- A minimal pytorch implementation of VAE, IWAE, MIWAE☆47Updated 2 years ago
- Code for "MetaFun: Meta-Learning with Iterative Functional Updates"☆14Updated 4 years ago
- Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation☆69Updated 4 years ago
- Implementation of: Kristiadi, Agustinus, and Asja Fischer. "Predictive Uncertainty Quantification with Compound Density Networks." (2019)…☆15Updated 2 years ago
- Stochastic Gradient Langevin Dynamics for Bayesian learning☆31Updated 3 years ago
- Code for the paper "Semi-Conditional Normalizing Flows for Semi-Supervised Learning"☆10Updated 4 years ago
- A collection of Gradient-Based Meta-Learning Algorithms with pytorch☆61Updated 5 years ago
- Official Code Repository for La-MAML: Look-Ahead Meta-Learning for Continual Learning"☆76Updated 4 years ago
- ☆10Updated 5 years ago
- Official Release of "Learning the Stein Discrepancy for Training and Evaluating Energy-Based Models without Sampling"☆49Updated 4 years ago
- Code to accompany the paper Radial Bayesian Neural Networks: Beyond Discrete Support In Large-Scale Bayesian Deep Learning☆33Updated 4 years ago
- Implementation of the models and datasets used in "An Information-theoretic Approach to Distribution Shifts"☆25Updated 3 years ago
- ☆53Updated 6 years ago
- ☆13Updated 6 years ago
- Last-layer Laplace approximation code examples☆83Updated 3 years ago
- A PyTorch implementation of "Meta-Amortized Variational Inference and Learning" (https://arxiv.org/abs/1902.01950)☆14Updated 4 years ago
- [AISTATS2020] The official repository of "Invertible Generative Modling using Linear Rational Splines (LRS)".☆20Updated last year
- Supporing code for the paper "Bayesian Model Selection, the Marginal Likelihood, and Generalization".☆35Updated 2 years ago
- The original code for the paper "How to train your MAML" along with a replication of the original "Model Agnostic Meta Learning" (MAML) p…☆40Updated 4 years ago
- ☆31Updated 2 years ago
- repo for paper: Adaptive Checkpoint Adjoint (ACA) method for gradient estimation in neural ODE☆54Updated 4 years ago
- Repo reproducing experimental results in "Addressing the Topological Defects of Disentanglement"☆22Updated 2 years ago
- Supporting code for the paper "Dangers of Bayesian Model Averaging under Covariate Shift"☆33Updated 2 years ago
- Variational Autoencoder with Spatial Broadcast Decoder☆35Updated 5 years ago
- Sinkhorn Barycenters via Frank-Wolfe algorithm☆24Updated 5 years ago