mandanasmi / life-long-learningLinks
Useful resources to learn lifelong learning
☆22Updated 6 years ago
Alternatives and similar repositories for life-long-learning
Users that are interested in life-long-learning are comparing it to the libraries listed below
Sorting:
- This repository contains implementations of the paper, Bayesian Model-Agnostic Meta-Learning.☆60Updated 6 years ago
- Official Code Repository for La-MAML: Look-Ahead Meta-Learning for Continual Learning"☆76Updated 4 years ago
- ☆32Updated 2 years ago
- A Continual Multi-agent RL testbed based on Hanabi☆30Updated 3 years ago
- ☆19Updated 5 years ago
- Codebase for "Online Fast Adaptation and Knowledge Accumulation: a New Approach to Continual Learning". This is a ServiceNow Research pro…☆105Updated 3 years ago
- Code to reproduce the experiments of "Rethinking Experience Replay: a Bag of Tricks for Continual Learning"☆48Updated 2 years ago
- Energy-Based Models for Continual Learning Official Repository (PyTorch)☆42Updated 2 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…☆20Updated 2 years ago
- Official code for ICLR 2020 paper "A Neural Dirichlet Process Mixture Model for Task-Free Continual Learning."☆100Updated 4 years ago
- Original PyTorch implementation of Uncertainty-guided Continual Learning with Bayesian Neural Networks, ICLR 2020☆75Updated 4 years ago
- This repository demonstrates the application of our proposed task-free continual learning method on a synthetic experiment.☆13Updated 6 years ago
- Code for the ICML 2021 paper "Bridging Multi-Task Learning and Meta-Learning: Towards Efficient Training and Effective Adaptation", Haoxi…☆68Updated 3 years ago
- ☆17Updated 5 years ago
- ☆53Updated 5 years ago
- Implementation of [Progressive Neural Networks](https://arxiv.org/abs/1606.04671) using Pytorch Framework☆52Updated 5 years ago
- Implementation of the variational continual learning method☆191Updated 6 years ago
- This repository contains implementations of the paper, Bayesian Model-Agnostic Meta-Learning.☆20Updated 2 years ago
- ☆15Updated 5 years ago
- Continual Learning with Hypernetworks. A continual learning approach that has the flexibility to learn a dedicated set of parameters, fin…☆164Updated 3 years ago
- A collection of Gradient-Based Meta-Learning Algorithms with pytorch☆62Updated 5 years ago
- Continual Reinforcement Learning in 3D Non-stationary Environments☆38Updated 6 years ago
- IIRC: Incremental Implicitly Refined Classification☆30Updated 2 years ago
- The implementation code for Uncertainty-based Continual Learning with Adaptive Regularization (Neurips 2019)☆35Updated 4 years ago
- Implementation of Bayesian Gradient Descent☆37Updated last year
- ☆45Updated 4 years ago
- ☆10Updated 6 years ago
- ☆78Updated 4 years ago
- Code for the NeurIPS19 paper "Meta-Learning Representations for Continual Learning"☆204Updated 11 months ago
- code for paper "Ju Xu, Zhanxing Zhu. Reinforced Continual Learning. NIPS 2018."☆38Updated 6 years ago