MichaelMMeskhi / meta-learning-progressLinks
Repository to track the progress in Meta-Learning (MtL), including the datasets and the current state-of-the-art for the most common MtL problems.
☆26Updated 2 years ago
Alternatives and similar repositories for meta-learning-progress
Users that are interested in meta-learning-progress are comparing it to the libraries listed below
Sorting:
- ☆78Updated 5 years ago
- Generic reinforcement learning codebase in TensorFlow☆95Updated 3 years ago
- ☆61Updated 2 years ago
- Meta learning framework with Tensorflow 2.0☆118Updated 2 years ago
- This repository is created to show the Neural Arithmetic Logic Unit implementation in python using Tensorflow. The code in this repo comp…☆43Updated 6 years ago
- The original code for the paper "Learning to Learn via Self-Critique".☆46Updated 5 years ago
- A Neuromodulated Meta-Learning algorithm☆116Updated 5 years ago
- A general, modular, and programmable architecture search framework☆124Updated 2 years ago
- Code for the neural architecture search methods contained in the paper Efficient Forward Neural Architecture Search☆110Updated 2 years ago
- [NeurIPS'19] [PyTorch] Adaptive Regularization in NN☆68Updated 5 years ago
- Fork of the GEM project (https://github.com/facebookresearch/GradientEpisodicMemory) including Meta-Experience Replay (MER) methods from …☆147Updated 4 years ago
- Accompanying code for the paper "Learning Causal Models Online"☆23Updated 4 years ago
- ☆100Updated 5 years ago
- PyTorch implementation of PathNet: Evolution Channels Gradient Descent in Super Neural Networks☆80Updated 7 years ago
- Pytorch implementation of ACCV18 paper "Revisiting Distillation and Incremental Classifier Learning."☆107Updated 11 months ago
- A pytorch based classification experiments template☆46Updated 4 years ago
- Meta learning is a subfield of machine learning where automatic learning algorithms are applied on metadata about machine learning experi…☆28Updated 6 years ago
- ☆80Updated last year
- A pytorch compatible data loader to create sequence of tasks for Continual Learning☆33Updated 5 years ago
- PyTorch implementations of recent optimization algorithms for deep learning.☆62Updated 5 years ago
- ContinualAI Wiki: a collaborative wiki on Continual/Lifelong Machine Learning☆48Updated 2 years ago
- Code for "EigenDamage: Structured Pruning in the Kronecker-Factored Eigenbasis" https://arxiv.org/abs/1905.05934☆113Updated 5 years ago
- Code for Unsupervised Learning via Meta-Learning.☆120Updated 6 years ago
- Original PyTorch implementation of the Leap meta-learner (https://arxiv.org/abs/1812.01054) along with code for running the Omniglot expe…☆148Updated 2 years ago
- [ICLR'19] Meta-learning with differentiable closed-form solvers☆115Updated 5 years ago
- ☆43Updated 6 years ago
- Optimized Differentiable Neural Computer In Chainer☆23Updated 6 years ago
- Reference implementation of the PAL optimizer☆20Updated 4 years ago
- TBA☆75Updated 6 years ago
- ☆182Updated 11 months ago