lilianweng / generalization-experimentLinks
TBA
โ76Updated 6 years ago
Alternatives and similar repositories for generalization-experiment
Users that are interested in generalization-experiment are comparing it to the libraries listed below
Sorting:
- Computing various norms/measures on over-parametrized neural networksโ49Updated 6 years ago
- ๐ฉ Pytorch and Jax code for the Madam optimiser.โ52Updated 4 years ago
- โ26Updated 6 years ago
- Code for Neural Arithmetic Units (ICLR) and Measuring Arithmetic Extrapolation Performance (SEDL|NeurIPS)โ146Updated 4 years ago
- โ61Updated 2 years ago
- [NeurIPS'19] [PyTorch] Adaptive Regularization in NNโ68Updated 5 years ago
- ๐ง Pytorch code for the Fromage optimiser.โ128Updated last year
- Interpreting neural networks via the STREAK algorithm (streaming weak submodular maximization)โ23Updated 7 years ago
- Repository of code for the experiments for the ICLR submission "An Empirical Investigation of Catastrophic Forgetting in Gradient-Based Nโฆโ69Updated 11 years ago
- Loss Patterns of Neural Networksโ85Updated 3 years ago
- Recurrent Back Propagation, Back Propagation Through Optimization, ICML 2018โ43Updated 6 years ago
- Probabilistic classification in PyTorch/TensorFlow/scikit-learn with Fenchel-Young lossesโ190Updated last year
- Code for ICML 2018 paper on "Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam" by Khan, Nielsen, Tangkaratt, Lin, โฆโ112Updated 6 years ago
- Original PyTorch implementation of the Leap meta-learner (https://arxiv.org/abs/1812.01054) along with code for running the Omniglot expeโฆโ148Updated 2 years ago
- The Singular Values of Convolutional Layersโ72Updated 6 years ago
- A tiny module for machine learning experiment orchestrationโ63Updated 6 years ago
- Memory efficient MAML using gradient checkpointingโ86Updated 5 years ago
- โ45Updated 5 years ago
- โ144Updated 2 years ago
- This repository is no longer maintained. Checkโ81Updated 5 years ago
- Pip-installable differentiable stacks in PyTorch!โ65Updated 4 years ago
- Code to accompany the paper Radial Bayesian Neural Networks: Beyond Discrete Support In Large-Scale Bayesian Deep Learningโ33Updated 5 years ago
- Implementation of Information Dropoutโ39Updated 8 years ago
- learning to search in pytorchโ110Updated 5 years ago
- Implementation of "Variational Dropout and the Local Reparameterization Trick" paper with Pytorchโ49Updated 7 years ago
- Implementation of "Learning with Random Learning Rates" in PyTorch.โ102Updated 5 years ago
- Basic experiment framework for tensorflow.โ91Updated 4 years ago
- แผฮฝฮฑฯฮฟฮผฮฎ is a PyTorch library to analyze representation of neural networksโ65Updated 2 months ago
- A library for evaluating representations.โ77Updated 3 years ago
- Discovering Neural Wirings (https://arxiv.org/abs/1906.00586)โ137Updated 5 years ago