This repository contains implementations of the paper, Bayesian Model-Agnostic Meta-Learning.
☆59Jul 12, 2019Updated 7 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:
- Implementations of many meta-learning algorithms to solve the few-shot learning problem in Pytorch☆257Mar 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…☆826Dec 5, 2023Updated 2 years ago
- ☆13Jun 20, 2019Updated 7 years ago
- Proximal Policy Optimization with Stein Control Variates:☆34Feb 12, 2018Updated 8 years ago
- Code for the NeurIPS19 paper "Meta-Learning Representations for Continual Learning"☆207Jul 25, 2024Updated 2 years ago
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- pytorch maml with Multi-GPUs, fast and simplest implementation☆13Dec 4, 2020Updated 5 years ago
- Integration bluerov containing path planner, pid controller, and computer vision system☆12Dec 9, 2022Updated 3 years ago
- Code to reproduce experiments in "Meta-learning probabilistic inference for prediction"☆68Feb 19, 2021Updated 5 years ago
- ☆16Oct 5, 2021Updated 4 years ago
- Meta-Learning with Warped Gradient Descent☆92Mar 5, 2021Updated 5 years ago
- MAML implementation (tensorflow)☆15Apr 25, 2019Updated 7 years ago
- 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
- ifedtree: tree-based federated learning for heterogeneous model harmonization (ICML 2022)☆14Mar 23, 2023Updated 3 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- 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 7 years ago
- ☆17Feb 6, 2023Updated 3 years ago
- Light-weight GPU kernel interface for graph operations☆15May 20, 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
- SGD and Ordered SGD codes for deep learning, SVM, and logistic regression☆36Aug 13, 2020Updated 5 years ago
- Pytorch implementation of "Large-Scale Meta-Learning with Continual Trajectory Shifting" (ICML 2021)☆19Jul 22, 2021Updated 5 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
- 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
- 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.
- Code for "Continuous-Time Meta-Learning with Forward Mode Differentiation" (ICLR 2022)☆25Mar 4, 2022Updated 4 years ago
- Implementation of Meta-Learning with Latent Embedding Optimization☆312Apr 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
- AISTATS 2019: Reference-based Adversarial Sampling & Its applications to Soft Q-learning☆15Jan 21, 2019Updated 7 years ago
- Sparsifying Variational Dropout in Tensorflow☆22Nov 3, 2017Updated 8 years ago
- Bayesian Mortality Modeling with Stan☆15Sep 19, 2023Updated 2 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
- Official Implementation of "Doubly Mixed-Effects Gaussian Process Regression" (Jun Ho Yoon, Daniel P. Jeong, Seyoung Kim) (AISTATS 2022, …☆12Jul 13, 2022Updated 4 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Elegant PyTorch implementation of paper Model-Agnostic Meta-Learning (MAML)☆2,483May 16, 2019Updated 7 years ago
- code release for the NIPS 2016 paper☆28Oct 21, 2016Updated 9 years ago
- Baselines and memory-based scenarios for the ViZDoom simulator☆36Dec 8, 2022Updated 3 years ago
- The detection of irony and sarcasm is one of the most insidious challenges in the field of Natural Language Processing. Over the years, s…☆16Feb 24, 2021Updated 5 years ago
- An official code of TAEML (Task-Adaptive Ensemble of Meta-Learners)☆13Jul 30, 2019Updated 7 years ago
- The code to reproduce CVPR 2021 paper "Towards Robust Classification Model by Counterfactual and Invariant Data Generation"☆16Jul 29, 2021Updated 5 years ago
- Regularizing Meta-Learning via Gradient Dropout☆53Apr 14, 2020Updated 6 years ago