Repository Index

TranslatedAiLearning: Data Analysis + Machine Learning in Action + Linear Algebra + PyTorch + NLTK + TF2

• fp-growth
• apriori
• mahchine-leaning
• naivebayes

Machine learning, in numpy

• machine-learning
• neural-networks
• topic-modeling
• gaussian-mixture-models

Translated:zap: Machine Learning in Action (Python3): kNN, decision tree, Bayes, logistic regression, SVM, linear regression, tree regression

• adaboost
• logistic
• svm
• smo

Bayesian Modeling and Probabilistic Programming in Python

• python
• statistical-analysis
• bayesian-inference
• mcmc

Deep universal probabilistic programming with Python and PyTorch

• python
• pytorch
• machine-learning
• bayesian

A Python implementation of global optimization with gaussian processes.

• optimization
• gaussian-processes
• bayesian-optimization
• python

Automated Machine Learning with scikit-learn

• automl
• scikit-learn
• automated-machine-learning
• hyperparameter-optimization

Python Toolkit for Causal and Probabilistic Reasoning

• python
• bayesian-networks
• causal-inference
• causal-discovery

Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies

• machine-learning
• scikit-learn
• statistical-learning
• xgboost

A modular active learning framework for Python

• scikit-learn
• machine-learning
• python
• active-learning

Deep probabilistic analysis of single-cell and spatial omics data

• scrna-seq
• variational-bayes
• variational-autoencoder
• cite-seq

Spearmint Bayesian optimization codebase

SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization

• bayesian-optimization
• bayesian-optimisation
• hyperparameter-optimization
• hyperparameter-tuning

Uncertainty-aware Semantic Segmentation of LiDAR Point Clouds for Autonomous Driving

• semantic-segmentation
• lidar
• semantickitti
• 3d-lidar-data

Python package facilitating the use of Bayesian Deep Learning methods with Variational Inference for PyTorch

• bayesian-inference
• deep-learning

Bayesian Optimization using GPflow

• gpflow
• bayesian-optimization
• machine-learning
• hyperparameter-optimization

Probabilistic programming framework that facilitates objective model selection for time-varying parameter models.

• time-series-analysis
• model-selection
• bayesian-inference
• anomaly-detection

Safe Bayesian Optimization

• gaussian-processes
• optimization
• robotics
• reinforcement-learning

Gaussian processes and Bayesian optimization for images and hyperspectral data

• image-processing
• hyperspectral-images
• gaussian-processes
• bayesian-optimization

This project presents a Python-based spam detector program that utilizes the Naive Bayes approach to classify emails as either spam or ham. The system is designed to accurately and efficiently identify spam messages, providing a useful tool for individuals and organizations seeking to manage their email inboxes more effectively.

• anaconda
• jupyter-notebook
• python