uber-research / GTN
☆77Updated 4 years ago
Alternatives and similar repositories for GTN:
Users that are interested in GTN are comparing it to the libraries listed below
- 🧀 Pytorch code for the Fromage optimiser.☆123Updated 7 months ago
- A Neuromodulated Meta-Learning algorithm☆115Updated 4 years ago
- 👩 Pytorch and Jax code for the Madam optimiser.☆51Updated 4 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 last year
- A library for evaluating representations.☆74Updated 3 years ago
- ☆42Updated 4 years ago
- Codebase for Learning Invariances in Neural Networks☆93Updated 2 years ago
- Official code for the Stochastic Polyak step-size optimizer☆138Updated 7 months ago
- Python implementation of GLN in different frameworks☆97Updated 4 years ago
- ☆61Updated last year
- Code for "Supermasks in Superposition"☆121Updated last year
- Pretrained TorchVision models on CIFAR10 dataset (with weights)☆24Updated 4 years ago
- Mixture Density Networks (Bishop, 1994) tutorial in JAX☆58Updated 4 years ago
- ☆80Updated last year
- Code for: Implicit Competitive Regularization in GANs☆114Updated 3 years ago
- Code to accompany the paper Radial Bayesian Neural Networks: Beyond Discrete Support In Large-Scale Bayesian Deep Learning☆33Updated 4 years ago
- Memory efficient MAML using gradient checkpointing☆83Updated 5 years ago
- ☆98Updated 3 years ago
- Quick modules to turn regular Neural Networks to Bayesian Neural Networks with Dropout.☆35Updated 3 years ago
- Loss Patterns of Neural Networks☆83Updated 3 years ago
- This repository provides the code for replicating the experiments in the paper "Building One-Shot Semi-supervised (BOSS) Learning up to F…☆36Updated 4 years ago
- DeepOBS: A Deep Learning Optimizer Benchmark Suite☆103Updated last year
- ☆153Updated 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
- Computing various norms/measures on over-parametrized neural networks☆49Updated 6 years ago
- Benchmark for Lifelong learning research☆118Updated 3 years ago
- Explores the ideas presented in Deep Ensembles: A Loss Landscape Perspective (https://arxiv.org/abs/1912.02757) by Stanislav Fort, Huiyi …☆62Updated 4 years ago
- ☆45Updated 5 years ago
- Discovering Neural Wirings (https://arxiv.org/abs/1906.00586)☆138Updated 5 years ago
- ☆36Updated 3 years ago