bayesgroup / bayesgroup.github.ioLinks
☆82Updated 2 years ago
Alternatives and similar repositories for bayesgroup.github.io
Users that are interested in bayesgroup.github.io are comparing it to the libraries listed below
Sorting:
- repository with the tutorials for MLSS Skoltech☆66Updated 6 years ago
- ☆172Updated last year
- Code Repo for "Subspace Inference for Bayesian Deep Learning"☆83Updated last year
- paper lists and information on mean-field theory of deep learning☆79Updated 6 years ago
- Pytorch implementation of Variational Dropout Sparsifies Deep Neural Networks☆85Updated 4 years ago
- Computing the eigenvalues of Neural Tangent Kernel and Conjugate Kernel (aka NNGP kernel) over the boolean cube☆48Updated 6 years ago
- Repository with all material for SMILES, the Summer School of Machine Learning at Skoltech, taking place from the 16th to the 21st of Aug…☆55Updated 5 years ago
- Hypergradient descent☆147Updated last year
- Codebase for Learning Invariances in Neural Networks☆96Updated 3 years ago
- Sample code for running deterministic variational inference to train Bayesian neural networks☆102Updated 7 years ago
- Autoregressive Energy Machines☆78Updated 3 years ago
- Implementation of the Functional Neural Process models☆42Updated 5 years ago
- ☆54Updated last year
- Convolutional Neural Tangent Kernel☆112Updated 6 years ago
- Approximate Inference Turns Deep Networks into Gaussian Processes (dnn2gp)☆48Updated 6 years ago
- ☆68Updated 6 years ago
- ☆41Updated 2 months ago
- [IJCAI'19, NeurIPS'19] Anode: Unconditionally Accurate Memory-Efficient Gradients for Neural ODEs☆109Updated 5 years ago
- [AAAI 2020 Oral] Low-variance Black-box Gradient Estimates for the Plackett-Luce Distribution☆39Updated 5 years ago
- Graduate topics course on learning discrete latent structure.☆67Updated 7 years ago
- Monotone operator equilibrium networks☆54Updated 5 years ago
- repository with the lectures for MLSS Skoltech☆139Updated 6 years ago
- ☆50Updated 5 years ago
- Models and code for the ICLR 2020 workshop paper "Towards Understanding Normalization in Neural ODEs"☆16Updated 5 years ago
- Code for the paper: "Tensor Programs II: Neural Tangent Kernel for Any Architecture"☆109Updated 5 years ago
- Cyclical Stochastic Gradient MCMC for Bayesian Deep Learning☆93Updated 5 years ago
- Discrete Normalizing Flows implemented in PyTorch☆114Updated 4 years ago
- ☆59Updated 7 years ago
- PyTorch re-implementation of parts of "Deep Sets" (NIPS 2017)☆73Updated 7 years ago
- Experiments for the paper "Exponential expressivity in deep neural networks through transient chaos"☆74Updated 9 years ago