robi56 / awesome-bayesian-deep-learningLinks
A curated list of resources dedicated to bayesian deep learning
☆417Updated 8 years ago
Alternatives and similar repositories for awesome-bayesian-deep-learning
Users that are interested in awesome-bayesian-deep-learning are comparing it to the libraries listed below
Sorting:
- Topics course Mathematics of Deep Learning, NYU, Spring 18☆549Updated 2 years ago
- Python package facilitating the use of Bayesian Deep Learning methods with Variational Inference for PyTorch☆361Updated 6 years ago
- Code for the paper "A Theoretically Grounded Application of Dropout in Recurrent Neural Networks"☆380Updated 8 years ago
- A list of resources for all invited talks, tutorials, workshops and presentations at NIPS 2016☆223Updated 8 years ago
- Dropout As A Bayesian Approximation: Code☆204Updated 10 years ago
- Implementation of Bayesian Recurrent Neural Networks by Fortunato et. al☆219Updated 6 years ago
- Lecture notes on Bayesian deep learning☆488Updated 7 years ago
- I try my best to keep updated cutting-edge knowledge in Machine Learning/Deep Learning and Natural Language Processing. These are my not…☆285Updated 6 years ago
- This repository contains the code to reproduce the core results from the paper "Adversarial Variational Bayes: Unifying Variational Autoe…☆208Updated 7 years ago
- videos, slides, and others from NIPS 2017☆180Updated 7 years ago
- Tools for loading standard data sets in machine learning☆204Updated 2 years ago
- Tutorials for deep learning☆253Updated 7 years ago
- Ladder network is a deep learning algorithm that combines supervised and unsupervised learning.☆242Updated 8 years ago
- Probabilistic Torch is library for deep generative models that extends PyTorch☆891Updated last year
- Torch implementations of various types of autoencoders☆475Updated 8 years ago
- This repository contains all the material for the MLTrain NIPS workshop☆244Updated 7 years ago
- ☆318Updated 8 years ago
- https://2017.icml.cc/Conferences/2017/Schedule☆71Updated 8 years ago
- Collection of probabilistic models and inference algorithms☆240Updated 5 years ago
- Sample implementation of Neural Ordinary Differential Equations☆263Updated 6 years ago
- Random notes on papers, likely a short-term repo.☆679Updated 8 years ago
- Implementing Bayes by Backprop☆184Updated 6 years ago
- ♾A curated list of papers and code about very deep neural networks☆455Updated 5 years ago
- Personal and biased selection of ML resources☆151Updated 5 years ago
- Implementation of a Variational Auto-Encoder in Theano☆381Updated 8 years ago
- tutorial notebooks☆389Updated 7 years ago
- Breakthrough AI Papers and CODE for Any Industry.☆243Updated 8 years ago
- Benchmark and build RL architectures that can do multitask and transfer learning.☆144Updated 2 years ago
- We use a modified neural network instead of Gaussian process for Bayesian optimization.☆108Updated 8 years ago
- Tensorflow implementation for DilatedRNN☆352Updated 8 years ago