moskomule / anatomeLinks
Ἀνατομή is a PyTorch library to analyze representation of neural networks
☆64Updated this week
Alternatives and similar repositories for anatome
Users that are interested in anatome are comparing it to the libraries listed below
Sorting:
- Code to accompany the paper Radial Bayesian Neural Networks: Beyond Discrete Support In Large-Scale Bayesian Deep Learning☆33Updated 5 years ago
- ☆45Updated 4 years ago
- Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation☆69Updated 4 years ago
- This repository is no longer maintained. Check☆81Updated 5 years ago
- Resources and Implementations (PyTorch) for Information Theoretical concepts in Deep Learning☆45Updated 6 years ago
- CCAs for looking into DNNs☆70Updated 4 years ago
- 🧀 Pytorch code for the Fromage optimiser.☆124Updated 11 months ago
- Code from the article: "The Role of Disentanglement in Generalisation" (ICLR, 2021).☆22Updated 3 years ago
- Geometric Certifications of Neural Nets☆42Updated 2 years ago
- [NeurIPS'19] [PyTorch] Adaptive Regularization in NN☆68Updated 5 years ago
- ☆35Updated last year
- Code for "Supermasks in Superposition"☆124Updated last year
- Padé Activation Units: End-to-end Learning of Activation Functions in Deep Neural Network☆64Updated 4 years ago
- A pytorch implementation for the LSTM experiments in the paper: Why Gradient Clipping Accelerates Training: A Theoretical Justification f…☆46Updated 5 years ago
- A pytorch implementation of our jacobian regularizer to encourage learning representations more robust to input perturbations.☆128Updated last year
- Memory efficient MAML using gradient checkpointing☆84Updated 5 years ago
- ☆47Updated 4 years ago
- Code for Self-Tuning Networks (ICLR 2019) https://arxiv.org/abs/1903.03088☆53Updated 6 years ago
- 👩 Pytorch and Jax code for the Madam optimiser.☆51Updated 4 years ago
- Recurrent Back Propagation, Back Propagation Through Optimization, ICML 2018☆42Updated 6 years ago
- CIFAR-5m dataset☆39Updated 4 years ago
- ☆123Updated last year
- ☆33Updated 5 years ago
- ☆61Updated 2 years ago
- Official implementation for Likelihood Regret: An Out-of-Distribution Detection Score For Variational Auto-encoder at NeurIPS 2020☆50Updated 4 years ago
- Last-layer Laplace approximation code examples☆82Updated 3 years ago
- Reparameterize your PyTorch modules☆71Updated 4 years ago
- PyTorch Implementations of Dropout Variants☆87Updated 7 years ago
- ☆37Updated 3 years ago
- TBA☆75Updated 6 years ago