This repository contains implementations of the paper, Bayesian Model-Agnostic Meta-Learning.
☆60Jul 12, 2019Updated 6 years ago
Alternatives and similar repositories for bmaml
Users that are interested in bmaml are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- This repository contains implementations of the paper, Bayesian Model-Agnostic Meta-Learning.☆20Jan 19, 2023Updated 3 years ago
- Implementations of many meta-learning algorithms to solve the few-shot learning problem in Pytorch☆258Mar 7, 2022Updated 4 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…☆827Dec 5, 2023Updated 2 years ago
- ☆13Jun 20, 2019Updated 6 years ago
- Proximal Policy Optimization with Stein Control Variates:☆33Feb 12, 2018Updated 8 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.
- ☆13Jan 1, 2018Updated 8 years ago
- Code for the NeurIPS19 paper "Meta-Learning Representations for Continual Learning"☆205Jul 25, 2024Updated last year
- A Pytorch implementation of MAML☆61Jan 23, 2023Updated 3 years ago
- pytorch maml with Multi-GPUs, fast and simplest implementation☆13Dec 4, 2020Updated 5 years ago
- Library to manage machine learning problems as `Tasks' and to sample from Task distributions. Includes Tensorflow implementation of impli…☆50Nov 30, 2021Updated 4 years ago
- Code to reproduce experiments in "Meta-learning probabilistic inference for prediction"☆69Feb 19, 2021Updated 5 years ago
- Meta-Learning with Warped Gradient Descent☆92Mar 5, 2021Updated 5 years ago
- ☆16Oct 5, 2021Updated 4 years ago
- MAML implementation (tensorflow)☆15Apr 25, 2019Updated 7 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Code for ICML 2018 paper on "Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam" by Khan, Nielsen, Tangkaratt, Lin, …☆112Dec 19, 2018Updated 7 years ago
- Official pytorch implementation of the paper "Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels" (NeurIPS 2020)☆208Jan 19, 2022Updated 4 years ago
- ☆10Apr 2, 2018Updated 8 years ago
- ifedtree: tree-based federated learning for heterogeneous model harmonization (ICML 2022)☆14Mar 23, 2023Updated 3 years ago
- Tensorflow implementation of "Learning to Balance: Bayesian Meta-learning for Imbalanced and Out-of-distribution Tasks" (ICLR 2020 oral)☆101Nov 23, 2020Updated 5 years ago
- TD-VAE in PyTorch☆10May 28, 2019Updated 6 years ago
- ☆44Oct 27, 2018Updated 7 years ago
- ☆17Feb 6, 2023Updated 3 years ago
- Variational inference in Dirichlet process Gaussian mixture model (tensorflow implementation)☆13Oct 8, 2018Updated 7 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- A PyTorch Implementation of Convolutional Conditional Neural Process.☆54Jan 1, 2020Updated 6 years ago
- [ICLR 2021] "Learning a Minimax Optimizer: A Pilot Study" by Jiayi Shen*, Xiaohan Chen*, Howard Heaton*, Tianlong Chen, Jialin Liu, Wotao…☆15Dec 30, 2021Updated 4 years ago
- Code for paper "Successor Uncertainties: Exploration and Uncertainty in Temporal Difference Learning" by David Janz*, Jiri Hron*, Przemys…☆21Feb 24, 2023Updated 3 years ago
- Code for "Continuous-Time Meta-Learning with Forward Mode Differentiation" (ICLR 2022)☆25Mar 4, 2022Updated 4 years ago
- An official PyTorch implementation of “Multimodal Model-Agnostic Meta-Learning via Task-Aware Modulation” (NeurIPS 2019) by Risto Vuorio*…☆141Dec 3, 2019Updated 6 years ago
- SGD and Ordered SGD codes for deep learning, SVM, and logistic regression☆36Aug 13, 2020Updated 5 years ago
- Implementation of Meta-Learning with Latent Embedding Optimization☆311Apr 30, 2019Updated 7 years ago
- Taming MAML: efficient unbiased meta-reinforcement learning☆30Sep 30, 2022Updated 3 years ago
- Code accompanying our NeurIPS 2020 traffic4cast challenge☆14Oct 4, 2021Updated 4 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- Bayesian Mortality Modeling with Stan☆15Sep 19, 2023Updated 2 years ago
- Code for AISTATS 2017 paper on "Conjugate-Computation Variational Inference"☆20Jul 10, 2020Updated 5 years ago
- 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
- Elegant PyTorch implementation of paper Model-Agnostic Meta-Learning (MAML)☆2,480May 16, 2019Updated 7 years ago
- Implementation of the Model-Based Meta-Policy-Optimization (MB-MPO) algorithm☆44Nov 15, 2018Updated 7 years ago
- An official code of TAEML (Task-Adaptive Ensemble of Meta-Learners)☆13Jul 30, 2019Updated 6 years ago
- Computes trajectories for evolutionary dynamics.☆15Oct 6, 2020Updated 5 years ago