ANazaret / unbounded-depth-neural-networksLinks
Implementation of the unbounded depth neural network from the paper Variational Inference for Infinitely Deep Neural Networks
☆17Updated 3 years ago
Alternatives and similar repositories for unbounded-depth-neural-networks
Users that are interested in unbounded-depth-neural-networks are comparing it to the libraries listed below
Sorting:
- Kernel Stein Discrepancy Descent : a method to sample from unnormalized densities☆22Updated last year
- Implementation of approximate free-energy minimization in PyTorch☆20Updated 4 years ago
- Fine-grained, dynamic control of neural network topology in JAX.☆21Updated 2 years ago
- A Python package for generating concise, high-quality summaries of a probability distribution☆56Updated last month
- The Energy Transformer block, in JAX☆63Updated 2 years ago
- GitHub repository for the ICLR Computational Geometry & Topology Challenge 2021☆54Updated 3 years ago
- How to Turn Your Knowledge Graph Embeddings into Generative Models☆55Updated last year
- ☆53Updated 2 years ago
- Official Implementation of the ICML 2023 paper: "Neural Wave Machines: Learning Spatiotemporally Structured Representations with Locally …☆77Updated 2 years ago
- Simplicial neural networks (SNNs), a generalization of graph neural networks to data that live on a class of topological spaces called si…☆81Updated 4 years ago
- Composable kernels for scikit-learn implemented in JAX.☆45Updated 5 years ago
- About A collection of AWESOME things about information geometry Topics☆172Updated last year
- Meta-learning inductive biases in the form of useful conserved quantities.☆39Updated 3 years ago
- The code for "Diffusion Geometry" (2024).☆44Updated last year
- Representation Learning on Topological Domains☆90Updated last week
- Updated code base for GlanceNets: Interpretable, Leak-proof Concept-based models☆25Updated 2 years ago
- Hierarchical Associative Memory User Experience☆105Updated last month
- Stochastic Automatic Differentiation library for PyTorch.☆208Updated last year
- Deep Networks Grok All the Time and Here is Why☆38Updated last year
- Official repository of "Spontaneous symmetry breaking in generative diffusion models"☆43Updated last year
- Supplementary code for the paper "Stationary Kernels and Gaussian Processes on Lie Groups and their Homogeneous Spaces"☆45Updated 2 years ago
- Code for 'Periodic Activation Functions Induce Stationarity' (NeurIPS 2021)☆19Updated 4 years ago
- ☆27Updated 2 years ago
- Neural Tangent Kernel (NTK) module for the scikit-learn library☆25Updated last year
- Riemannian Optimization Using JAX☆53Updated 2 years ago
- Implementation of deep implicit attention in PyTorch☆65Updated 4 years ago
- Scalable training and inference for Probabilistic Circuits☆89Updated last week
- ☆15Updated 3 years ago
- Quantification of Uncertainty with Adversarial Models☆29Updated 2 years ago
- We integrate discrete diffusion models with neurosymbolic predictors for scalable and calibrated learning and reasoning☆56Updated 3 weeks ago