lwehbe / 10606607_M20
☆14Updated 4 years ago
Related projects ⓘ
Alternatives and complementary repositories for 10606607_M20
- Random feature latent variable models in Python☆22Updated last year
- Exercises for the Tutorial on Approximate Bayesian Inference at the Data Science Summer School 2018☆22Updated 6 years ago
- STATS305C: Applied Statistics III (Spring, 2023)☆22Updated last year
- Code related to different aspects of conformal learning☆15Updated last year
- Official implementation of the paper "Interventions, Where and How? Experimental Design for Causal Models at Scale", NeurIPS 2022.☆19Updated last year
- Code for Quantifying Ignorance in Individual-Level Causal-Effect Estimates under Hidden Confounding☆21Updated last year
- Materials for ORIE 7191: Topics in Optimization for Machine Learning☆42Updated 5 years ago
- This repo will be an effort to learn and implement some of the milestone papers and models in Deep Learning based language models.☆11Updated 2 years ago
- Material for STATS271: Applied Bayesian Statistics (Spring 2021)☆25Updated 3 years ago
- Pytorch implementation of VAEs for heterogeneous likelihoods.☆42Updated last year
- Conceptual & empirical comparisons between decision forests & deep networks☆17Updated last month
- A minimal implementation of a VAE with BinConcrete (relaxed Bernoulli) latent distribution in TensorFlow.☆21Updated 4 years ago
- Repository for DTU Special Course, focusing on Variational Inference using Normalizing Flows (VINF). Supervised by Michael Riis Andersen☆25Updated 4 years ago
- Short Course on Optimization for Machine Learning - Slides and Practical Labs - DS3 Data Science Summer School, June 24 to 28, 2019, Pari…☆20Updated 5 years ago
- Stochastic Gradient Langevin Dynamics for Bayesian learning☆30Updated 2 years ago
- PyTorch implementation for "Probabilistic Circuits for Variational Inference in Discrete Graphical Models", NeurIPS 2020☆15Updated 3 years ago
- Short Course on Optimization for Machine Learning - Slides and Practical Lab - Pre-doc Summer School on Learning Systems, July 3 to 7, 20…☆18Updated 7 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…☆54Updated 4 years ago
- ☆17Updated 2 years ago
- Utilities to help manage a machine learning experimental workflow☆19Updated 3 years ago
- Library for Bayesian Quadrature☆31Updated 5 years ago
- Companion code for the paper "Learnable Uncertainty under Laplace Approximations" (UAI 2021).☆19Updated 3 years ago
- Code for 'Periodic Activation Functions Induce Stationarity' (NeurIPS 2021)☆18Updated 3 years ago
- Library for Bayesian Neural Networks in PyTorch (first version as published in ProbProg2020)☆42Updated 3 years ago
- Pytorch implementation for "Particle Flow Bayes' Rule"☆13Updated 5 years ago
- PyTorch implementation of Bidirectional Monte Carlo, Annealed Importance Sampling, and Hamiltonian Monte Carlo.☆52Updated 3 years ago
- Morgan A. Schmitz., Matthieu Heitz, Nicolas Bonneel, Fred Ngole, David Coeurjolly, Marco Cuturi, Gabriel Peyré, and Jean-Luc Starck. "Was…☆18Updated 5 years ago
- ☆36Updated 2 years ago
- Uncertainty in Conditional Average Treatment Effect Estimation☆27Updated 3 years ago
- ☆12Updated last year