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:
- 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☆257Mar 7, 2022Updated 4 years ago
- ☆13Jun 20, 2019Updated 7 years ago
- Proximal Policy Optimization with Stein Control Variates:☆34Feb 12, 2018Updated 8 years ago
- ☆13Jan 1, 2018Updated 8 years ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- Code for the NeurIPS19 paper "Meta-Learning Representations for Continual Learning"☆208Jul 25, 2024Updated 2 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
- ☆16Oct 5, 2021Updated 5 years ago
- Meta-Learning with Warped Gradient Descent☆92Mar 5, 2021Updated 5 years ago
- A Low-level first-order probabilistic programming language, with in built translation constraints for automatic model checking. A flexibl…☆14Apr 16, 2019Updated 7 years ago
- MAML implementation (tensorflow)☆15Apr 25, 2019Updated 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
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Meta-Learning with Differentiable Convex Optimization (CVPR 2019 Oral)☆543Jul 25, 2024Updated 2 years ago
- TD-VAE in PyTorch☆10May 28, 2019Updated 7 years ago
- ☆17Feb 6, 2023Updated 3 years ago
- Official Implementation of CVPR 2023 paper: "Meta-Learning with a Geometry-Adaptive Preconditioner"☆21May 23, 2023Updated 3 years ago
- Variational inference in Dirichlet process Gaussian mixture model (tensorflow implementation)☆13Oct 8, 2018Updated 8 years ago
- Light-weight GPU kernel interface for graph operations☆15May 20, 2020Updated 6 years ago
- A PyTorch Implementation of Convolutional Conditional Neural Process.☆54Jan 1, 2020Updated 6 years ago
- SGD and Ordered SGD codes for deep learning, SVM, and logistic regression☆36Aug 13, 2020Updated 6 years ago
- Pytorch implementation of "Large-Scale Meta-Learning with Continual Trajectory Shifting" (ICML 2021)☆19Jul 22, 2021Updated 5 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Code for paper "Successor Uncertainties: Exploration and Uncertainty in Temporal Difference Learning" by David Janz*, Jiri Hron*, Przemys…☆22Feb 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
- 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☆313Apr 30, 2019Updated 7 years ago
- Code accompanying our NeurIPS 2020 traffic4cast challenge☆14Oct 4, 2021Updated 5 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
- 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
- Code for AISTATS 2017 paper on "Conjugate-Computation Variational Inference"☆20Jul 10, 2020Updated 6 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- Elegant PyTorch implementation of paper Model-Agnostic Meta-Learning (MAML)☆2,482May 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
- 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
- Computes trajectories for evolutionary dynamics.☆15Oct 6, 2020Updated 6 years ago
- PyTorch implementation of "An Ensemble of Epoch-wise Empirical Bayes for Few-shot Learning" (ECCV 2020)☆48Oct 3, 2023Updated 3 years ago