TranslatedAiLearning: Data Analysis + Machine Learning in Action + Linear Algebra + PyTorch + NLTK + TF2
- fp-growth
- apriori
- mahchine-leaning
- naivebayes
Repository Index
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TranslatedMachine learning tutorials
Open-source, low-code AutoML platform for Python. PyCaret 4.0: sklearn-native engine + React control plane.
- data-science
- python
- machine-learning
- pycaret
Automated Machine Learning with scikit-learn
- automl
- scikit-learn
- automated-machine-learning
- hyperparameter-optimization
Pandas integration with sklearn
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)
- community-detection
- graph-clustering
- deepwalk
- networkx
Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.
- visualization
- python3
- python
- xgboost
Hyper-parameter optimization for sklearn
An open source DevOps tool from the CNCF for packaging and versioning AI/ML models, datasets, code, and configuration into an OCI Artifact.
Transpile trained scikit-learn estimators and transformers to C, C#, Go, Java, JavaScript, PHP and Ruby.
Use evolutionary algorithms instead of gridsearch in scikit-learn
Python package for Bayesian Machine Learning with scikit-learn API
- python
- bayesian-machine-learning
- machine-learning
- scikit-learn
Highly interpretable classifiers for scikit learn, producing easily understood decision rules instead of black box models
scikit-learn inspired API for CRFsuite
Hyperparameter optimization and feature selection for scikit-learn using evolutionary algorithms. A modern alternative to GridSearchCV and RandomizedSearchCV.
A unified framework for tabular probabilistic regression, time-to-event prediction, and probability distributions in python
- python
- sklearn
- data-science
- framework
Genetic feature selection module for scikit-learn
A sklearn-compatible Python implementation of Multifactor Dimensionality Reduction (MDR) for feature construction.
a feature engineering wrapper for sklearn
scikit-learn for OCaml
Universal 1d/2d data containers with Transformers functionality for data analysis.
Java reimplementation of Python's scikit-learn with behavioral compatibility, numerical accuracy, and idiomatic Java design
Machine learning model evaluation made easy: plots, tables, HTML reports, experiment tracking and Jupyter notebook analysis.