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bayesian-kalmanfilter

Variational Baysian Kalman Filter

bayesian-neural-networks

Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace and more

bayesian-neural-networks-py3-pytorch

Learn BNN and modify to python 3

bayesian-torch

Bayesian-Torch is a library of neural network layers and utilities extending the core of PyTorch to enable the user to perform stochastic variational inference in Bayesian deep neural networks

bayesian_cnn

Bayes by Backprop implemented in a CNN

bayesiancnn

cvpr2021-papers-with-code

CVPR 2021 论文和开源项目合集

deep-learning-based-state-estimation

Incorporating Transformer and LSTM to Kalman Filter with EM algorithm

deep-learning-time-series

List of papers, code and experiments using deep learning for time series forecasting

deep-learning-uncertainty

Literature survey, paper reviews, experimental setups and a collection of implementations for baselines methods for predictive uncertainty estimation in deep learning models.

degradation_model

discrete-event-systems-sandbox

This project will implement simple automata and petri nets utilities for educational purposes.

em

Notes + notebooks on EM + variational EM algorithms for Bayesian methods tutorial

expectation-maximization

Expectation-Maximization (EM) algorithm in Matlab

hymu

lihang-code

《统计学习方法》的代码实现

neural_decomposition

Neaural Decomposition (ND)

pipe

PIPE - Platform Independent Petri Net Editor

prml

PRML algorithms implemented in Python

pytorch_kalman_filter_training

A PyTorch implementation of neural network training via Kalman filtering.

shockdegradationmodel

time-series-analysis-tutorial

时间序列分析教程

tpc-los-prediction

This repository contains the code used for Temporal Pointwise Convolutional Networks for Length of Stay Prediction in the Intensive Care Unit (https://dl.acm.org/doi/10.1145/3450439.3451860).

uq_bnn

Uncertainty quantification using Bayesian neural networks in classification (MIDL 2018, CSDA)

weight-uncertainty-in-neural-networks

wzu-machine-learning-course

温州大学《机器学习》课程资料（代码、课件等）