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61 search results found

Machinelearning ⭐ 4,030

My blogs and code for machine learning. http://cnblogs.com/pinard

Bayesian Neural Networks ⭐ 1,633

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

Bda_py_demos ⭐ 851

Bayesian Data Analysis demos for Python

Boltzmann Machines ⭐ 792

Boltzmann Machines in TensorFlow with examples

Dbda Python ⭐ 543

Doing Bayesian Data Analysis, 2nd Edition (Kruschke, 2015): Python/PyMC3 code

Scipy2014_tutorial ⭐ 281

Tutorial: Bayesian Statistical Analysis in Python

Data_science_blogs ⭐ 232

A repository to keep track of all the code that I end up writing for my blog posts.

Advancedhmc.jl ⭐ 210

Robust, modular and efficient implementation of advanced Hamiltonian Monte Carlo algorithms

Bayes_computing_course ⭐ 208

TensorFlow implementation for training MCMC samplers from the paper: Generalizing Hamiltonian Monte Carlo with Neural Network

Advance Bayesian Modelling With Pymc3 ⭐ 133

Machine Learning Notes ⭐ 130

机器学习笔记

Isochrones ⭐ 96

Pythonic stellar model grid access; easy MCMC fitting of stellar properties

Machine Learning Numpy ⭐ 84

Gathers Machine learning models using pure Numpy to cover feed-forward, RNN, CNN, clustering, MCMC, timeseries, tree-based, and so much more!

Probabilisticprogrammingprimer ⭐ 77

Bridge.jl ⭐ 77

A statistical toolbox for diffusion processes and stochastic differential equations. Named after the Brownian Bridge.

Mcmc_pydata_london_2019 ⭐ 75

PyData London 2019 Tutorial on Markov chain Monte Carlo with PyMC3

L2hmc Qcd ⭐ 60

Application of the L2HMC algorithm to simulations in lattice QCD.

a re-implementation of a minimal version of STOKE

Cyclical Stochastic Gradient MCMC for Bayesian Deep Learning

Pymcmcstat ⭐ 49

Python implementation of MATLAB toolbox "mcmcstat"

Dynamichmcexamples.jl ⭐ 37

Examples for Bayesian inference using DynamicHMC.jl and related packages.

A multi-planet Radial Velocity and Transit modelling software

Pymc3_oslo ⭐ 34

Probabilistic programming in Python workshop at Oslo universitetssykehus HF

Machine Learning Notesandcode ⭐ 33

机器学习学习笔记和代码

Make a sweet giant triangle confusogram (GTC) plot

Mcmc_and_dynamics ⭐ 30

Practice with MCMC methods and dynamics (Langevin, Hamiltonian, etc.)

Start with the Chempy tutorial

Pythonpyrobook ⭐ 16

『StanとRでベイズ統計モデリング』のPython/Pyroによる再現実装

Poisson-Gamma dynamical systems

Enviro_mod_notes ⭐ 15

Introductory notes on environmental modelling and statistics

Probability_and_statistics ⭐ 14

Course materials for PROBABILITY AND STATISTICS A/B

Machine Learning Summer Schools ⭐ 14

Curated materials for different machine learning related summer schools

Forecaster ⭐ 13

Double Edge Swap Mcmc ⭐ 12

Contains methods to uniformly sample graphs with a given degree sequence.

Монте Карло изчисления с Python

Bayes_course_july2020 ⭐ 11

Course materials for short course on Bayesian computation

Probablistic Machine Learning in Scala

Evoprotgrad ⭐ 11

Directed evolution of proteins in sequence space with gradients

Manifold Mcmc For Diffusions ⭐ 10

Code accompanying the paper 'Manifold MCMC methods for Bayesian inference in a wide class of diffusion models'

Couplings ⭐ 10

Unbiased MCMC with couplings

Bayesian Modeling ⭐ 9

Case studies with Bayesian methods

Bayesian Methods For Machine Learning ⭐ 8

Bayesian Methods for Machine Learning

Pyndamics ⭐ 8

Python Numerical Dynamics Simulator

Herramientas estadísticas para la investigación

Plot, edit, generate and analysis neuron morphologies! and a lot more...

Manifold_lifting ⭐ 6

Accompanying code for 'Manifold lifting: scaling MCMC to the vanishing noise regime'

Combining dating methods for better stellar ages

Python code for likelihood analysis and MCMC posterior sampling of void-galaxy cross-correlation data

Pycbc Inference Paper ⭐ 6

Data Release associated with the PyCBC Inference paper. This includes posterior samples for GW150914, LVT151012, and GW151226 along with configuration files and run scripts,

Flowed HMC for Lattice Gauge Theory

Bayesian trend filtering micro library. http://trendpy.readthedocs.io/en/latest/

Pymc Advi Hmc Demo ⭐ 5

Demonstrating HMC and ADVI algorithms for Bayesian data analysis using PYMC3.

PyBEAM: A Bayesian approach to parameter inference for a wide class of binary evidence accumulation models

Maelstrom ⭐ 5

Forward modelling of pulsating stars in binaries

Confidence ⭐ 5

Use experiments, modeling, and simulation to determine if perceptual confidence emerges from Bayesian or heuristic computations. 🧠

Multipoleexpansion ⭐ 5

Multipole expansion for HI intensity mapping experiments

Revbayes_kernel ⭐ 5

A Jupyter kernel for RevBayes

Chempymulti ⭐ 5

Multi-Star Bayesian Inference with Chempy: Start with the Tutorial

Codes for "Understanding MCMC Dynamics as Flows on the Wasserstein Space" (ICML-19)

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