pa-dqn / VariationalContinualLearning
☆10Updated 5 years ago
Alternatives and similar repositories for VariationalContinualLearning:
Users that are interested in VariationalContinualLearning are comparing it to the libraries listed below
- Official Code Repository for La-MAML: Look-Ahead Meta-Learning for Continual Learning"☆76Updated 4 years ago
- Continual Learning in Recurrent Neural Networks☆37Updated 3 years ago
- Implementation of Bayesian Gradient Descent☆37Updated last year
- Original PyTorch implementation of Uncertainty-guided Continual Learning with Bayesian Neural Networks, ICLR 2020☆74Updated 3 years ago
- PyTorch code for NeurIPSW 2020 paper (4th Workshop on Meta-Learning) "Few-Shot Unsupervised Continual Learning through Meta-Examples"☆20Updated 4 years ago
- Codebase for "Online Fast Adaptation and Knowledge Accumulation: a New Approach to Continual Learning". This is a ServiceNow Research pro…☆105Updated 2 years ago
- ☆20Updated 3 years ago
- Energy-Based Models for Continual Learning Official Repository (PyTorch)☆40Updated 2 years ago
- Functional Regularisation for Continual Learning with Gaussian Processes☆14Updated 4 years ago
- This repository contains implementations of the paper, Bayesian Model-Agnostic Meta-Learning.☆60Updated 5 years ago
- Growing Dual-Memory Self-Organizing Networks☆25Updated 6 years ago
- The implementation code for Uncertainty-based Continual Learning with Adaptive Regularization (Neurips 2019)☆35Updated 3 years ago
- Posterior Network: Uncertainty Estimation without OOD Samples via Density-Based Pseudo-Counts (Neurips 2020)☆76Updated 2 years ago
- MAML implementation (tensorflow)☆14Updated 5 years ago
- ☆53Updated 5 years ago
- A pytorch implementation of MCDO(Monte-Carlo Dropout methods)☆56Updated 6 years ago
- Official code for ICLR 2020 paper "A Neural Dirichlet Process Mixture Model for Task-Free Continual Learning."☆100Updated 4 years ago
- A study on the following problems: what the memorization problem is in meta-learning; why memorization problem happens; and how we can pr…☆21Updated last year
- Project for the Large Scale Optimization course at Skoltech☆22Updated 6 years ago
- This repository demonstrates the application of our proposed task-free continual learning method on a synthetic experiment.☆13Updated 5 years ago
- Supplementary material to reproduce "Multivariate Deep Evidential Regression"☆19Updated 3 years ago
- ☆24Updated 5 years ago
- ☆38Updated 4 months ago
- ☆31Updated 2 years ago
- Belief matching framework official implementation☆39Updated last year
- pytorch implementation of https://arxiv.org/abs/1705.09847☆14Updated 5 years ago
- Code for the paper 'Continual Learning via Sequential Function-Space Variational Inference'☆22Updated last year
- A Continual Multi-agent RL testbed based on Hanabi☆30Updated 3 years ago
- ☆22Updated last year
- ☆13Updated 2 years ago