BARL-SSL / reptrix
Library that provides metrics to assess representation quality
☆10Updated 3 months ago
Alternatives and similar repositories for reptrix:
Users that are interested in reptrix are comparing it to the libraries listed below
- Code for verifying deep neural feature ansatz☆17Updated 2 years ago
- Research Project Template Repository☆29Updated 2 weeks ago
- Official codes for Scalable Infomin Learning, NeurIPS 2022☆13Updated 2 years ago
- Instructions and examples to deploy some PyTorch code on slurm using a Singularity Container☆33Updated 2 years ago
- ☆18Updated last year
- Large-scale uncertainty benchmark in deep learning.☆56Updated 3 months ago
- ☆25Updated last year
- Mutual information estimators and benchmark☆49Updated 3 months ago
- Pytorch code for "Improving Self-Supervised Learning by Characterizing Idealized Representations"☆41Updated 2 years ago
- ☆18Updated last year
- Code for "Depth Uncertainty in Neural Networks" (https://arxiv.org/abs/2006.08437)☆76Updated last year
- PyTorch linear operators for curvature matrices (Hessian, Fisher/GGN, KFAC, ...)☆38Updated 3 weeks ago
- Laplace Redux -- Effortless Bayesian Deep Learning☆42Updated 2 years ago
- This code implements sparse coding in PyTorch with GPU support.☆30Updated 4 years ago
- ☆16Updated 3 years ago
- Tools to connect to and interact with the Mila cluster☆71Updated 2 weeks ago
- Tree Variational Autoencoders pytorch implementation☆33Updated 7 months ago
- Code for Deterministic Neural Networks with Appropriate Inductive Biases Capture Epistemic and Aleatoric Uncertainty☆139Updated last year
- Algorithms for computations on random manifolds made easier☆89Updated last year
- ☆17Updated last year
- Simple (and cheap!) neural network uncertainty estimation☆65Updated last month
- Pytorch implementation of VAEs for heterogeneous likelihoods.☆42Updated 2 years ago
- Bayesian active learning with EPIG data acquisition☆31Updated 3 weeks ago
- ☆16Updated 7 months ago
- 🧶 Modular VAE disentanglement framework for python built with PyTorch Lightning ▸ Including metrics and datasets ▸ With strongly supervi…☆128Updated 2 years ago
- [NeurIPS 2024] Official implementation of the paper "MambaLRP: Explaining Selective State Space Sequence Models".☆38Updated 6 months ago
- A Transformer-inspired model of the brain☆21Updated 4 months ago
- Code for "Variational Autoencoder with Learned Latent Structure"☆33Updated 4 years ago
- Official source code repository for the ICML 2021 paper "Hierarchical VAEs Know What They Don't Know"☆30Updated 3 years ago
- Updated code base for GlanceNets: Interpretable, Leak-proof Concept-based models☆25Updated last year