willwhitney / reprieve
A library for evaluating representations.
☆74Updated 3 years ago
Alternatives and similar repositories for reprieve:
Users that are interested in reprieve are comparing it to the libraries listed below
- 🧀 Pytorch code for the Fromage optimiser.☆123Updated 6 months ago
- A lightweight experimental logging library☆48Updated 6 months ago
- ☆98Updated 3 years ago
- Memory efficient MAML using gradient checkpointing☆83Updated 5 years ago
- Estimating Example Difficulty using Variance of Gradients☆61Updated 2 years ago
- Testing Nerual Tangent Kernel (NTK) on small UCI datasets☆83Updated 5 years ago
- Hybrid Discriminative-Generative Training via Contrastive Learning☆75Updated last year
- ☆34Updated 3 years ago
- Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation☆68Updated 4 years ago
- Semi-supervised learning via Compact Latent Space Clustering☆48Updated 5 years ago
- Code from the article: "The Role of Disentanglement in Generalisation" (ICLR, 2021).☆22Updated 2 years ago
- Codebase for Learning Invariances in Neural Networks☆93Updated 2 years ago
- ☆153Updated 4 years ago
- ☆77Updated 4 years ago
- Code for the CVPR 2020 [ORAL] paper "SAM: The Sensitivity of Attribution Methods to Hyperparameters"☆25Updated 2 years ago
- Official PyTorch BIVA implementation (BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling)☆83Updated 2 years ago
- Computing various norms/measures on over-parametrized neural networks☆49Updated 6 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
- 👩 Pytorch and Jax code for the Madam optimiser.☆51Updated 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…☆40Updated 4 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
- Code to accompany the paper Radial Bayesian Neural Networks: Beyond Discrete Support In Large-Scale Bayesian Deep Learning☆33Updated 4 years ago
- TBA☆75Updated 5 years ago
- DeepOBS: A Deep Learning Optimizer Benchmark Suite☆103Updated last year
- Code for "Supermasks in Superposition"☆121Updated last year
- Repository for theory and methods for Out-of-Distribution (OoD) generalization☆63Updated 2 years ago
- Reparameterize your PyTorch modules☆70Updated 4 years ago
- Neural Ensemble Search for Uncertainty Estimation and Dataset Shift☆32Updated 9 months ago
- Code for: Implicit Competitive Regularization in GANs☆114Updated 3 years ago
- Official implementation of the paper "Topographic VAEs learn Equivariant Capsules"☆78Updated 2 years ago