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124 search results found
Awesome Bayes Nets
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9
⚗️ A curated list of Books, Research Papers, and Software for Bayesian Networks.
Machine Learning Lecture Notes
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9
Lecture notes and codes for machine learning
Htlr
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8
Bayesian Logistic Regression with Hyper-LASSO priors
Bayesian_irl
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8
Bayesian Inverse Reinforcement Learning with simple environments
Bayesian Methods For Machine Learning
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8
Bayesian Methods for Machine Learning
Machinelearningalgos
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7
Personal reimplementation of some ML algorithms for learning purposes
K2abc
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7
AISTATS 2016. K2-ABC: Approximate Bayesian Computation with Kernel Embeddings.
Simple Linear Regression
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7
A python implementation of linear regression algorithm. (including Maximum Likelihood, Maximum a posterior, Bayesian)
Fake Data For Learning
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7
Sample interesting fake data for machine and human learning
Mcx Infer
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7
[Experimental] Bayesian machine learning with MCX.
Stochannpy
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7
StochANNPy (STOCHAstic Artificial Neural Network for PYthon) provides user-friendly routines compatible with Scikit-Learn for stochastic learning.
Machine Learning And Statistics Repos
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6
Useful list of Machine Learning And Statistics Repositories
Integratedlearner
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6
Integrated Machine Learning for Multi-omics Classification and Prediction
Normalizingflownetwork
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6
Bayesian and ML Implementation of the Normalizing Flow Network (NFN)
Bayesianopttools
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6
Bayesian Optimization and Uncertainty Analyses Tools
Bnpseg
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6
Bayesian Non-Parametric Image Segmentation using HDP-MRF
Winterconfhemavan2019
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6
Material for my 'Bayesian Machine Learning' lectures at the Winter Conference in Statistics, Hemavan, Sweden, March 11-14, 2019.
Mlraptor
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6
Efficient online variational Bayesian inference algorithms for common machine learning tasks. Includes mixture models (like GMMs) and admixture models (like LDA). Implemented in Python.
Coursera Aml3 Bayesian Methods
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6
Coursera, Advanced Machine Learning specialization, course 3: Bayesian Methods for Machine Learning
Bitcoin Prediction
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6
Predicting Bitcoin Price Variations using Bayesian Regression
Wt2018
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5
Winter Term Project 2018
Rdl
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5
Code for 'Relational Deep Learning: A Deep Latent Variable Model for Link Prediction' - AAAI
Gpie
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5
Gaussian Process tiny explorer
Uwb_ml
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5
A probabilistic learning approach to UWB ranging error mitigation
Eece5644 Machine_learning
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5
Graduate course on Machine Learning in Northeastern University
Neurosymbolic Tinyml
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5
TinyNS: Platform-Aware Neurosymbolic Auto Tiny Machine Learning
Pymc Advi Hmc Demo
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5
Demonstrating HMC and ADVI algorithms for Bayesian data analysis using PYMC3.
Bayesian Stat Machine Learning
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5
"Bayesian Statistics & Machine Learning" Reading Group at Northwestern Statistics
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