A Python scikit for building and analyzing recommender systems
- recommender
- systems
- recommendation
- svd
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A Python scikit for building and analyzing recommender systems
Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization Algorithm,Immune Algorithm, Artificial Fish Swarm Algorithm, Differential Evolution and TSP(Traveling salesman)
Image processing in Python
A scikit-learn compatible neural network library that wraps PyTorch
Visual analysis and diagnostic tools to facilitate machine learning model selection.
🛠 All-in-one web-based IDE specialized for machine learning and data science.
Seamlessly integrate LLMs into scikit-learn.
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
A library for debugging/inspecting machine learning classifiers and explaining their predictions
Pandas integration with sklearn
Python library for portfolio optimization, factor model construction, and risk management built on scikit-learn
2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.
An intuitive library to add plotting functionality to scikit-learn objects.
A modular active learning framework for Python
Feature engineering and selection open-source Python library compatible with sklearn.
Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)
Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.
Genetic Programming in Python, with a scikit-learn inspired API
A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of the top machine learning algorithms for binary classification (random forests, gradient boosted trees, deep neural networks etc.).
Python implementations of the Boruta all-relevant feature selection method.
open-source feature selection repository in python
MLeap: Deploy ML Pipelines to Production
Python library for time series forecasting using scikit-learn compatible models, statistical methods, and foundation models
Metric learning algorithms in Python