dbaranchuk / memory-efficient-mamlLinks
Memory efficient MAML using gradient checkpointing
☆86Updated 5 years ago
Alternatives and similar repositories for memory-efficient-maml
Users that are interested in memory-efficient-maml are comparing it to the libraries listed below
Sorting:
- Reparameterize your PyTorch modules☆71Updated 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…☆41Updated 4 years ago
- Meta-Learning with Warped Gradient Descent☆92Updated 4 years ago
- Code for "Recurrent Independent Mechanisms"☆118Updated 3 years ago
- Implementation of the paper Recurrent Independent Mechanisms (https://arxiv.org/pdf/1909.10893.pdf)☆100Updated 3 years ago
- Hypergradient descent☆149Updated last year
- Hybrid Discriminative-Generative Training via Contrastive Learning☆75Updated 2 years ago
- PyTorch Implementations of Dropout Variants☆87Updated 7 years ago
- Measuring compositionality in representation learning☆73Updated 6 years ago
- This repository is no longer maintained. Check☆81Updated 5 years ago
- ☆124Updated last year
- Estimating Gradients for Discrete Random Variables by Sampling without Replacement☆40Updated 5 years ago
- Computing various norms/measures on over-parametrized neural networks☆49Updated 6 years ago
- Code for "Supermasks in Superposition"☆124Updated last year
- Official code for ICLR 2020 paper "A Neural Dirichlet Process Mixture Model for Task-Free Continual Learning."☆100Updated 5 years ago
- A Neuromodulated Meta-Learning algorithm☆117Updated 5 years ago
- Implementation of "Variational Dropout and the Local Reparameterization Trick" paper with Pytorch☆49Updated 7 years ago
- 🧀 Pytorch code for the Fromage optimiser.☆128Updated last year
- Code from the article: "The Role of Disentanglement in Generalisation" (ICLR, 2021).☆22Updated 3 years ago
- This repository contains implementations of the paper, Bayesian Model-Agnostic Meta-Learning.☆60Updated 6 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
- A collection of Gradient-Based Meta-Learning Algorithms with pytorch☆64Updated 5 years ago
- The Limited Multi-Label Projection Layer☆59Updated last year
- GAN(TK)²: GAN Neural Tangent Kernel ToolKit☆13Updated 3 years ago
- Benchmark for Lifelong learning research☆118Updated 4 years ago
- [AAAI 2020 Oral] Low-variance Black-box Gradient Estimates for the Plackett-Luce Distribution☆38Updated 4 years ago
- PyTorch Implementation of Neural Statistician☆60Updated 3 years ago
- Recurrent Back Propagation, Back Propagation Through Optimization, ICML 2018☆43Updated 6 years ago
- Low-variance, efficient and unbiased gradient estimation for optimizing models with binary latent variables. (ICLR 2019)☆28Updated 6 years ago
- Code for Self-Tuning Networks (ICLR 2019) https://arxiv.org/abs/1903.03088☆54Updated 6 years ago