stat-ml / alpacaLinks
Library for active learning and uncertainty estimation in machine learning
☆27Updated 2 years ago
Alternatives and similar repositories for alpaca
Users that are interested in alpaca are comparing it to the libraries listed below
Sorting:
- Effective uncertainty estimation with decorellation and DPP mask for dropout☆9Updated 2 years ago
- ☆82Updated 2 years ago
- repository with the tutorials for MLSS Skoltech☆66Updated 5 years ago
- Code for MSID, a Multi-Scale Intrinsic Distance for comparing generative models, studying neural networks, and more!☆51Updated 6 years ago
- Pytorch implementation of Variational Dropout Sparsifies Deep Neural Networks☆83Updated 3 years ago
- [AAAI 2020 Oral] Low-variance Black-box Gradient Estimates for the Plackett-Luce Distribution☆38Updated 4 years ago
- this repository is created to accumulate all LaTeX templates needed at Skoltech☆20Updated 6 years ago
- ☆23Updated 5 years ago
- repository with the lectures for MLSS Skoltech☆139Updated 5 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 4 years ago
- Python implementation of GLN in different frameworks☆97Updated 4 years ago
- ☆30Updated 5 years ago
- Deep Learning Utilities for PyTorch users (old name: Zero)☆36Updated 3 months ago
- Course "Theories of Deep Learning"☆196Updated 5 years ago
- Implicit MLE: Backpropagating Through Discrete Exponential Family Distributions☆258Updated last year
- ☆17Updated last year
- Implemented Machine Learning Algorithms in Hyperbolic Geometry (MDS, K-Means, Support vector machines, etc.)☆137Updated 5 years ago
- Reusable BatchBALD implementation☆79Updated last year
- A supplementary code for Beyond Vector Spaces: Compact Data Representation as Differentiable Weighted Graphs.☆47Updated 5 years ago
- Cyclical Stochastic Gradient MCMC for Bayesian Deep Learning☆92Updated 4 years ago
- Learning to Initialize Neural Networks for Stable and Efficient Training☆139Updated 3 years ago
- Active learning☆78Updated 2 years ago
- http://nlp.seas.harvard.edu/2018/04/03/attention.html☆62Updated 4 years ago
- Official code for the Stochastic Polyak step-size optimizer☆139Updated last year
- Code Repo for "Subspace Inference for Bayesian Deep Learning"☆82Updated last year
- Deep Neural Decision Trees☆162Updated 3 years ago
- Pytorch implementation of VAEs for heterogeneous likelihoods.☆42Updated 2 years ago
- Library for Bayesian Neural Networks in PyTorch (first version as published in ProbProg2020)☆42Updated 3 years ago
- ☆100Updated 3 years ago
- Noise-Contrastive Visualization☆55Updated last year