uber-research / GTNLinks
☆79Updated 5 years ago
Alternatives and similar repositories for GTN
Users that are interested in GTN are comparing it to the libraries listed below
Sorting:
- 🧀 Pytorch code for the Fromage optimiser.☆129Updated last year
- A Neuromodulated Meta-Learning algorithm☆116Updated 5 years ago
- ☆42Updated 5 years ago
- Python implementation of GLN in different frameworks☆97Updated 5 years ago
- ☆61Updated 2 years ago
- Official code for the Stochastic Polyak step-size optimizer☆139Updated last year
- Mixture Density Networks (Bishop, 1994) tutorial in JAX☆61Updated 5 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
- Codebase for Learning Invariances in Neural Networks☆96Updated 3 years ago
- Code for "Supermasks in Superposition"☆124Updated 2 years ago
- 👩 Pytorch and Jax code for the Madam optimiser.☆53Updated 4 years ago
- ☆80Updated 2 years ago
- Implements stochastic line search☆118Updated 2 years ago
- DeepOBS: A Deep Learning Optimizer Benchmark Suite☆109Updated last year
- A library for evaluating representations.☆77Updated 4 years ago
- Pretrained TorchVision models on CIFAR10 dataset (with weights)☆24Updated 5 years ago
- Loss Patterns of Neural Networks☆86Updated 4 years ago
- ☆182Updated last year
- Benchmark for Lifelong learning research☆118Updated 4 years ago
- Memory efficient MAML using gradient checkpointing☆86Updated 5 years ago
- ☆46Updated 6 years ago
- TBA☆77Updated 6 years ago
- Code for: Implicit Competitive Regularization in GANs☆116Updated 3 years ago
- Neural Turing Machines in pytorch☆48Updated 3 years ago
- Computing the eigenvalues of Neural Tangent Kernel and Conjugate Kernel (aka NNGP kernel) over the boolean cube☆47Updated 6 years ago
- A Curated Set of Papers Actually Worth Reading☆26Updated 3 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 5 years ago
- ☆100Updated 4 years ago
- Notebook for comprehensive analysis of authors, organizations, and countries of ICML 2020 papers.☆56Updated 5 years ago
- Explores the ideas presented in Deep Ensembles: A Loss Landscape Perspective (https://arxiv.org/abs/1912.02757) by Stanislav Fort, Huiyi …☆66Updated 5 years ago