lshug / Continual-Keras
Keras-based framework for implementing continual learning methods.
☆9Updated 4 years ago
Related projects ⓘ
Alternatives and complementary repositories for Continual-Keras
- PyTorch implementation of the ExStream method from our ICRA-2019 paper "Memory Efficient Experience Replay for Streaming Learning"☆21Updated 4 years ago
- The implementation code for Uncertainty-based Continual Learning with Adaptive Regularization (Neurips 2019)☆35Updated 3 years ago
- code for paper "Ju Xu, Zhanxing Zhu. Reinforced Continual Learning. NIPS 2018."☆36Updated 5 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
- ☆53Updated 4 years ago
- This repository demonstrates the application of our proposed task-free continual learning method on a synthetic experiment.☆13Updated 5 years ago
- [ICLR 2020, Oral] Harnessing Structures for Value-Based Planning and Reinforcement Learning☆33Updated 4 years ago
- Incremental Label Propagation (ILP) - Incremental Semi-Supervised Learning from Streams for Object Classification☆14Updated 6 years ago
- A pytorch compatible data loader to create sequence of tasks for Continual Learning☆33Updated 4 years ago
- 1'st Place approach for CVPR 2020 Continual Learning Challenge☆46Updated 4 years ago
- Code to reproduce the experiments of "Rethinking Experience Replay: a Bag of Tricks for Continual Learning"☆43Updated last year
- ☆16Updated 6 years ago
- Codebase for "Online Continual Learning with Maximally Interfered Retrieval"☆99Updated last year
- Implementation of the models and datasets used in "An Information-theoretic Approach to Distribution Shifts"☆25Updated 3 years ago
- Open-source code for our paper: Unified Probabilistic Deep Continual Learning through Generative Replay and Open Set Recognition☆60Updated 2 years ago
- Deep Reinforcement Active learning - Master Thesis☆18Updated last year
- GP-Tree: A Gaussian Process Classifier for Few-Shot Incremental Learning☆33Updated 2 years ago
- Meta-learning Gaussian process (GP) priors via PAC-Bayes bounds☆25Updated 9 months ago
- Growing Dual-Memory Self-Organizing Networks☆25Updated 5 years ago
- Overcoming Catastrophic Forgetting by Incremental Moment Matching (IMM)☆34Updated 6 years ago
- General purpose library for BNNs, and implementation of OC-BNNs in our 2020 NeurIPS paper.☆38Updated 2 years ago
- Implementation of MLP (python) and CNN (PyTorch) with Information Plane visualization.☆12Updated 7 years ago
- Official Code Repository for La-MAML: Look-Ahead Meta-Learning for Continual Learning"☆72Updated 3 years ago
- Variational Auto-Regressive Gaussian Processes for Continual Learning☆20Updated 3 years ago
- Code for AAAI 2019 Network Interpretability workshop paper☆16Updated 3 years ago
- ☆31Updated last year
- Implementation of Latent Replay, a Continual Learning strategy for Real-Time / On The Edge applications☆13Updated 4 years ago
- ☆26Updated 5 months ago
- Code accompanying the paper "A contrastive rule for meta-learning"☆11Updated last week
- Distributional and Outlier Robust Optimization (ICML 2021)☆27Updated 3 years ago