Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
---|---|---|---|---|---|---|---|---|---|---|
H2o 3 | 6,618 | 62 | 33 | 3 months ago | 49 | August 09, 2023 | 2,746 | apache-2.0 | Jupyter Notebook | |
H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc. | ||||||||||
Hyperlearn | 1,387 | 2 years ago | apache-2.0 | Jupyter Notebook | ||||||
2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old. | ||||||||||
Pca Magic | 175 | 5 years ago | 3 | apache-2.0 | Python | |||||
PCA that iteratively replaces missing data | ||||||||||
Python_for_data_science | 129 | 7 years ago | 2 | Jupyter Notebook | ||||||
python_for_data_science | ||||||||||
Vizuka | 100 | 6 years ago | Python | |||||||
Explore high-dimensional datasets and how your algo handles specific regions. | ||||||||||
Kaggle Houseprices | 88 | 6 years ago | Jupyter Notebook | |||||||
Kaggle Kernel for House Prices competition https://www.kaggle.com/massquantity/all-you-need-is-pca-lb-0-11421-top-4 | ||||||||||
Betaml.jl | 83 | 3 months ago | 7 | mit | Julia | |||||
Beta Machine Learning Toolkit | ||||||||||
Hyperspectral_image_analysis_simplified | 77 | 3 years ago | 1 | gpl-3.0 | Jupyter Notebook | |||||
The repository contains the implementation of different machine learning techniques such as classification and clustering on Hyperspectral and Satellite Imagery. | ||||||||||
Slik_python_package | 60 | a year ago | 10 | June 19, 2022 | 1 | gpl-3.0 | Jupyter Notebook | |||
A data wrangling and modeling tool. | ||||||||||
Data Science Learning | 32 | 2 years ago | Jupyter Notebook | |||||||
📊 All of courses, assignments, exercises, mini-projects and books that I've done so far in the process of learning by myself Machine Learning and Data Science. |