bayesgroup / deepbayes-2019Links
Practical assignments of the Deep|Bayes summer school 2019
☆831Updated 5 years ago
Alternatives and similar repositories for deepbayes-2019
Users that are interested in deepbayes-2019 are comparing it to the libraries listed below
Sorting:
- Bayesian Deep Learning Benchmarks☆672Updated 2 years ago
- Normalizing flows in PyTorch. Current intended use is education not production.☆877Updated 5 years ago
- This repository contains notebook implementations of the following Neural Process variants: Conditional Neural Processes (CNPs), Neural P…☆1,003Updated 4 years ago
- Notebooks about Bayesian methods for machine learning☆1,893Updated last year
- ☆813Updated 5 months ago
- I categorize, annotate and write comments for all research papers I read (500+ papers since 2018).☆407Updated this week
- ☆275Updated 5 years ago
- Papers for Bayesian-NN☆325Updated 6 years ago
- Bayesian neural network using Pyro and PyTorch on MNIST dataset☆315Updated 6 years ago
- My solutions to Kevin Murphy Machine Learning Book☆541Updated 5 years ago
- repository with the lectures for MLSS Skoltech☆139Updated 6 years ago
- Seminars DeepBayes Summer School 2018☆1,046Updated 6 years ago
- Mathematics of Deep Learning, Courant Insititute, Spring 19☆278Updated 6 years ago
- Literature survey, paper reviews, experimental setups and a collection of implementations for baselines methods for predictive uncertaint…☆631Updated 3 years ago
- Probabilistic Torch is library for deep generative models that extends PyTorch☆890Updated last year
- ☆259Updated 6 years ago
- Building a Bayesian deep learning classifier☆489Updated 7 years ago
- A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.☆825Updated 4 years ago
- Implementing Bayes by Backprop☆184Updated 6 years ago
- Master Thesis on Bayesian Convolutional Neural Network using Variational Inference☆264Updated 6 years ago
- A simple probabilistic programming language.☆700Updated last week
- Course notes for CS228: Probabilistic Graphical Models.☆1,971Updated 2 months ago
- Pytorch implementation of Augmented Neural ODEs☆547Updated 2 years ago
- Code repo for "A Simple Baseline for Bayesian Uncertainty in Deep Learning"☆472Updated 2 years ago
- Experiments with Deep Learning☆1,351Updated 2 years ago
- Topics course Mathematics of Deep Learning, NYU, Spring 18☆548Updated 2 years ago
- Contains code for the NeurIPS 2019 paper "Practical Deep Learning with Bayesian Principles"☆245Updated 5 years ago
- Course notes☆717Updated last year
- Experiments used in "Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning"☆575Updated 3 years ago
- Fast and Easy Infinite Neural Networks in Python☆2,358Updated last year