amzn / metalearn-leap
Original PyTorch implementation of the Leap meta-learner (https://arxiv.org/abs/1812.01054) along with code for running the Omniglot experiment presented in the paper.
☆148Updated last year
Alternatives and similar repositories for metalearn-leap:
Users that are interested in metalearn-leap are comparing it to the libraries listed below
- Implementation of "Learning with Random Learning Rates" in PyTorch.☆102Updated 5 years ago
- ☆61Updated last year
- Probabilistic classification in PyTorch/TensorFlow/scikit-learn with Fenchel-Young losses☆183Updated last year
- 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
- Code for Self-Tuning Networks (ICLR 2019) https://arxiv.org/abs/1903.03088☆53Updated 5 years ago
- Code for "EigenDamage: Structured Pruning in the Kronecker-Factored Eigenbasis" https://arxiv.org/abs/1905.05934☆112Updated 4 years ago
- Computing various norms/measures on over-parametrized neural networks☆49Updated 6 years ago
- This repository is no longer maintained. Check☆81Updated 4 years ago
- A library for evaluating representations.☆74Updated 3 years ago
- ☆219Updated 6 years ago
- Basic experiment framework for tensorflow.☆92Updated 3 years ago
- learning to search in pytorch☆110Updated 4 years ago
- Hypergradient descent☆143Updated 8 months ago
- Pip-installable differentiable stacks in PyTorch!☆65Updated 4 years ago
- Differentiable bitonic sorting☆138Updated 4 years ago
- ☆77Updated 4 years ago
- [NeurIPS'19] [PyTorch] Adaptive Regularization in NN☆67Updated 5 years ago
- Equi-normalization of Neural Networks☆115Updated 5 years ago
- Python implementation of GLN in different frameworks☆96Updated 4 years ago
- Discovering Neural Wirings (https://arxiv.org/abs/1906.00586)☆138Updated 5 years ago
- Code for "Recurrent Independent Mechanisms"☆118Updated 2 years ago
- Code for Piggyback: Adapting a Single Network to Multiple Tasks by Learning to Mask Weights☆182Updated 5 years ago
- Code for paper: "Support Vector Machines, Wasserstein's distance and gradient-penalty GANs maximize a margin"☆178Updated 4 years ago
- Implementation of Conditionally Shifted Neurons by Munkhdalai et al. (https://arxiv.org/pdf/1712.09926.pdf)☆28Updated 6 years ago
- The Singular Values of Convolutional Layers☆71Updated 6 years ago
- Autoregressive Energy Machines☆77Updated 2 years ago
- 🧀 Pytorch code for the Fromage optimiser.☆123Updated 6 months ago
- An implementation of shampoo☆74Updated 6 years ago
- Code for ICML 2018 paper on "Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam" by Khan, Nielsen, Tangkaratt, Lin, …☆111Updated 6 years ago
- Implementation of Model-Agnostic Meta-Learning (MAML) in Jax☆188Updated 2 years ago