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:
- this repository is created to accumulate all LaTeX templates needed at Skoltech☆20Updated 6 years ago
- ☆82Updated 2 years ago
- Reusable BatchBALD implementation☆79Updated last year
- Code for MSID, a Multi-Scale Intrinsic Distance for comparing generative models, studying neural networks, and more!☆52Updated 6 years ago
- repository with the tutorials for MLSS Skoltech☆66Updated 6 years ago
- Cyclical Stochastic Gradient MCMC for Bayesian Deep Learning☆92Updated 4 years ago
- Pytorch implementation of Variational Dropout Sparsifies Deep Neural Networks☆83Updated 3 years ago
- Deep Learning Utilities for PyTorch users (old name: Zero)☆36Updated 4 months ago
- A repository for explaining feature attributions and feature interactions in deep neural networks.☆188Updated 3 years ago
- repository with the lectures for MLSS Skoltech☆139Updated 5 years ago
- Course "Theories of Deep Learning"☆195Updated 5 years ago
- Deep Neural Decision Trees☆161Updated 3 years ago
- ☆32Updated 3 years ago
- CHOP: An optimization library based on PyTorch, with applications to adversarial examples and structured neural network training.☆78Updated last year
- [AAAI 2020 Oral] Low-variance Black-box Gradient Estimates for the Plackett-Luce Distribution☆38Updated 4 years ago
- Code Repo for "Subspace Inference for Bayesian Deep Learning"☆83Updated last year
- Theoretical Deep Learning: generalization ability☆46Updated 5 years ago
- Bayesianize: A Bayesian neural network wrapper in pytorch☆89Updated last year
- ☆100Updated 3 years ago
- Package implementing various parametric and nonparametric methods for conditional density estimation☆196Updated 2 years ago
- Python implementation of GLN in different frameworks☆97Updated 4 years ago
- Library for Bayesian Neural Networks in PyTorch (first version as published in ProbProg2020)☆42Updated 3 years ago
- This repository contains data readers and examples for the three tracks of the Shifts Dataset and the Shifts Challenge.☆233Updated 2 years ago
- ☆23Updated 5 years ago
- Using / reproducing ACD from the paper "Hierarchical interpretations for neural network predictions" 🧠 (ICLR 2019)☆129Updated 4 years ago
- Repository for code release of paper "Robust Variational Autoencoders for Outlier Detection and Repair of Mixed-Type Data" (AISTATS 2020)☆50Updated 5 years ago
- ☆21Updated 3 years ago
- Quadrature-based features for kernel approximation☆16Updated 6 years ago
- Supporting code for the paper "Dangers of Bayesian Model Averaging under Covariate Shift"☆33Updated 2 years ago
- Calibration library and code for the paper: Verified Uncertainty Calibration. Ananya Kumar, Percy Liang, Tengyu Ma. NeurIPS 2019 (Spotlig…☆150Updated 2 years ago