ashishpatel26 / Meta-Learning-
Meta learning is a subfield of machine learning where automatic learning algorithms are applied on metadata about machine learning experiments.
☆27Updated 5 years ago
Alternatives and similar repositories for Meta-Learning-:
Users that are interested in Meta-Learning- are comparing it to the libraries listed below
- My notes and assignment solutions for Stanford CS330 (Fall 2019 & 2020) Deep Multi-Task and Meta Learning☆41Updated last year
- Official Code Repository for La-MAML: Look-Ahead Meta-Learning for Continual Learning"☆74Updated 4 years 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…☆40Updated 4 years ago
- Codebase for "Online Fast Adaptation and Knowledge Accumulation: a New Approach to Continual Learning". This is a ServiceNow Research pro…☆104Updated 2 years ago
- https://cs330.stanford.edu/☆62Updated last year
- Useful resources to learn lifelong learning☆22Updated 6 years ago
- A collection of Gradient-Based Meta-Learning Algorithms with pytorch☆63Updated 5 years ago
- Official code for ICLR 2020 paper "A Neural Dirichlet Process Mixture Model for Task-Free Continual Learning."☆99Updated 4 years ago
- Code for "Supermasks in Superposition"☆121Updated last year
- A PyTorch reimplementation of MAML, replicating some of the experiments from the paper.☆41Updated 6 years ago
- Implementation of MAML in numpy, deriving gradients and implementing backprop manually☆14Updated 6 years ago
- MAML implementation (tensorflow)☆14Updated 5 years ago
- Library to manage machine learning problems as `Tasks' and to sample from Task distributions. Includes Tensorflow implementation of impli…☆48Updated 3 years ago
- ☆31Updated 2 years ago
- ☆19Updated 5 years ago
- General purpose library for BNNs, and implementation of OC-BNNs in our 2020 NeurIPS paper.☆38Updated 2 years ago
- Explaining a black-box using Deep Variational Information Bottleneck Approach☆46Updated 2 years ago
- Energy-Based Models for Continual Learning Official Repository (PyTorch)☆40Updated 2 years ago
- code for paper "Ju Xu, Zhanxing Zhu. Reinforced Continual Learning. NIPS 2018."☆37Updated 5 years ago
- ☆53Updated 5 years ago
- PyTorch implementation of the ExStream method from our ICRA-2019 paper "Memory Efficient Experience Replay for Streaming Learning"☆21Updated 5 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
- Towards increasing stability of neural networks for continual learning: https://arxiv.org/abs/2006.06958.pdf (NeurIPS'20)☆75Updated last year
- ARML for ICLR 2020☆42Updated 4 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
- Gradient Starvation: A Learning Proclivity in Neural Networks☆61Updated 4 years ago
- The original code for the paper "Benchmarks for Continual Few-Shot Learning".☆34Updated 4 years ago
- Memory efficient MAML using gradient checkpointing☆83Updated 5 years ago
- Growing Dual-Memory Self-Organizing Networks☆25Updated 5 years ago