Python for《Deep Learning》,该书为《深度学习》(花书) 数学推导、原理剖析与源码级别代码实现
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Updated
Jun 23, 2020 - Python
Python for《Deep Learning》,该书为《深度学习》(花书) 数学推导、原理剖析与源码级别代码实现
Deep universal probabilistic programming with Python and PyTorch
GemPy is an open-source, Python-based 3-D structural geological modeling software, which allows the implicit (i.e. automatic) creation of complex geological models from interface and orientation data. It also offers support for stochastic modeling to address parameter and model uncertainties.
LightweightMMM 🦇 is a lightweight Bayesian Marketing Mix Modeling (MMM) library that allows users to easily train MMMs and obtain channel attribution information.
A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.
A python library for Bayesian time series modeling
Collection of probabilistic models and inference algorithms
yet another general purpose naive bayesian classifier.
PyTorch implementation of bayesian neural network.
ELFI - Engine for Likelihood-Free Inference
A repository for recording the machine learning code
Bayesian models to compute performance and uncertainty of returns and alpha.
Deep learning and Bayesian approach applied to enzyme turnover number for the improvement of enzyme-constrained genome-scale metabolic models (ecGEMs) reconstruction
Bayesian multi-object tracking
"What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?", NIPS 2017 (unofficial code).
PyTorch Implementation of QuickNAT and Bayesian QuickNAT, a fast brain MRI segmentation framework with segmentation Quality control using structure-wise uncertainty
Bayesian Extinction And Stellar Tool
A virtual simulation platform for autonomous vehicle sensing, mapping, control and behaviour methods using ROS 2 and Gazebo.
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