mccaffary / continual-learningLinks
Repository of continual learning papers
☆40Updated 4 years ago
Alternatives and similar repositories for continual-learning
Users that are interested in continual-learning are comparing it to the libraries listed below
Sorting:
- Official code for Coupled Oscillatory RNN (ICLR 2021, Oral)☆53Updated 4 years ago
- Official implementation of the paper "Topographic VAEs learn Equivariant Capsules"☆81Updated 3 years ago
- Towards Nonlinear Disentanglement in Natural Data with Temporal Sparse Coding☆73Updated 4 years ago
- A Continual Multi-agent RL testbed based on Hanabi☆32Updated 4 years ago
- ☆24Updated 5 years ago
- Research of a deep predictive coding model for unsupervised representation learning from video and audio data.☆32Updated 6 years ago
- Combine multiple MNIST digits to create datasets with 100/1000 classes for few-shot learning/meta-learning☆102Updated 4 years ago
- Code for "Recurrent Independent Mechanisms"☆120Updated 3 years ago
- Codebase for Learning Invariances in Neural Networks☆96Updated 3 years ago
- A Neuromodulated Meta-Learning algorithm☆117Updated 5 years ago
- Code for "Depth Uncertainty in Neural Networks" (https://arxiv.org/abs/2006.08437)☆78Updated 2 years ago
- Active and Sample-Efficient Model Evaluation☆26Updated 8 months 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…☆41Updated 5 years ago
- My notes and assignment solutions for Stanford CS330 (Fall 2019 & 2020) Deep Multi-Task and Meta Learning☆41Updated 2 years ago
- Energy-Based Models for Continual Learning Official Repository (PyTorch)☆44Updated 3 years ago
- fork of rl-baseline-zoo☆21Updated 5 years ago
- Explores the ideas presented in Deep Ensembles: A Loss Landscape Perspective (https://arxiv.org/abs/1912.02757) by Stanislav Fort, Huiyi …☆66Updated 5 years ago
- Figures & code from the paper "Shortcut Learning in Deep Neural Networks" (Nature Machine Intelligence 2020)☆101Updated 3 years ago
- Reparameterize your PyTorch modules☆71Updated 5 years ago
- Code for the intrinsic dimensionality estimate of data representations☆86Updated 5 years ago
- Benchmark for Lifelong learning research☆118Updated 4 years ago
- Official Code Repository for La-MAML: Look-Ahead Meta-Learning for Continual Learning"☆80Updated 5 years ago
- The Research Tree - A playground for research at the intersection of Continual, Reinforcement, and Self-Supervised Learning.☆197Updated 2 years ago
- Contains code for the NeurIPS 2020 paper by Pan et al., "Continual Deep Learning by FunctionalRegularisation of Memorable Past"☆44Updated 5 years ago
- An implementation of 2021 paper by Geoffrey Hinton: "How to represent part-whole hierarchies in a neural network" in Pytorch.☆57Updated 4 years ago
- ☆47Updated 3 years ago
- Project for the Large Scale Optimization course at Skoltech☆22Updated 7 years ago
- Code for "Supermasks in Superposition"☆125Updated 2 years ago
- ☆83Updated 2 years ago
- [CogSci'21] Study of human inductive biases in CNNs and Transformers.☆43Updated 4 years ago