Awesome Open Source
Search
Programming Languages
Languages
All Categories
Categories
About

The Top 23 Machine Learning Statistics Open Source Projects

Open source projects categorized as Machine Learning Statistics
Categories > Machine Learning > Machine Learning
Categories > Data Processing > Statistics
Ktboost ⭐ 36
A Python package which implements several boosting algorithms with different combinations of base learners, optimization algorithms, and loss functions.
total releases 46most recent commit 2 years ago
Eng. Mohamed Hammad Ai Recommendations ⭐ 35
The repo contains books, tutorials and resources based on Eng Mohammed Hammad's recommendations.
most recent commit a year ago
Confounds ⭐ 35
Conquering confounds and covariates in machine learning
dependent packages 1total releases 6most recent commit a year agopypi confounds} Downloads
Statistics And Econometrics For Data Science ⭐ 34
This repository contains notebooks for understanding some concepts of statistics and econometrics that can be helpful in data science
most recent commit 3 years ago
Kenchi ⭐ 34
A scikit-learn compatible library for anomaly detection
total releases 23most recent commit 6 years ago
Bbai ⭐ 33
Deterministic algorithms for objective Bayesian inference and hyperparameter optimization
total releases 11most recent commit 8 months ago
Awesome Javascript Data Science ⭐ 33
Awesome JavaScript Data Science
most recent commit 10 months ago
Fastauc ⭐ 33
Three fast ROC AUC calculation implementations for python
most recent commit 9 months ago
Mathematics_for_machine_learning ⭐ 32
Learn the mathematics behind machine learning and explore various mathematical concepts within machine learning.
most recent commit 10 months ago
Astrostatistics_bicocca_2023 ⭐ 32
Astrostatistics and Machine Learning class for the MSc degree in Astrophysics at the University of Milan-Bicocca (Italy)
most recent commit 4 months ago
Liesel ⭐ 31
A probabilistic programming framework
total releases 12most recent commit 4 months ago
Ml Stat Util ⭐ 30
Statistical functions based on bootstrapping for computing confidence intervals and p-values comparing machine learning models and human readers
most recent commit 2 years ago
Model Validation Toolkit ⭐ 29
Model Validation Toolkit is a collection of tools to assist with validating machine learning models prior to deploying them to production and monitoring them after deployment to production.
most recent commit 5 months ago
Complete Data Science Roadmap ⭐ 29
Complete Roadmap For Data Science
most recent commit 5 months ago
Rstats ⭐ 29
Statistics, Information Measures, Linear Algebra, Cholesky Matrix Decomposition, Mahalanobis Distance, Householder QR Decomposition, Clifford Algebra, Multidimensional Data Analysis, Geometric Median, Hulls, Machine Learning, multithreading implementation...
dependent packages 1total releases 188most recent commit 4 months agocargo rstats} Downloads
Data Science Prep ⭐ 28
Problems from https://datascienceprep.com/
most recent commit 3 years ago
Rahul_raoniar_blogs ⭐ 28
Contains code and data for "The Researchers' Guide" Medium blogs
most recent commit a year ago
Py Soft Impute ⭐ 28
Python implementation of Mazumder and Hastie's softImpute for matrix completion
most recent commit 9 years ago
Kalmanpy ⭐ 27
Implementation of Kalman Filter in Python
most recent commit 3 years ago
Kscore ⭐ 27
Nonparametric Score Estimators, ICML 2020
most recent commit 3 years ago
Data Analyst Nanodegree ⭐ 26
Kai Sheng Teh - Udacity Data Analyst Nanodegree
most recent commit 6 years ago
Bayeshmm ⭐ 26
Full Bayesian Inference for Hidden Markov Models
most recent commit 5 years ago
K9 ⭐ 25
Self-Taught Data Science
most recent commit 2 years ago
Popular Machine Learning Categories
Deep Learning
Machine Learning
Pytorch
Tensorflow
Natural Language Processing
Neural Network
Neural
Computer Vision
Convolutional Neural Networks
Opencv
Categories
Privacy | About | Terms | Follow Us On Twitter

Downloads, Dependent Repos, Dependent Packages, Total Releases, Latest Releases data powered by Libraries.io.

Copyright 2018-2024 Awesome Open Source.  All rights reserved.