scikit-learn: machine learning in Python
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AiLearning：数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2
- fp-growth
- apriori
- mahchine-leaning
- naivebayes
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
Open standard for machine learning interoperability
Parallel computing with task scheduling
- dask
- python
- pydata
- numpy
Fast and Accurate ML in 3 Lines of Code
Open Machine Learning Course
A unified framework for machine learning with time series
- time-series
- machine-learning
- scikit-learn
- time-series-classification
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
An open source python library for automated feature engineering
- feature-engineering
- machine-learning
- data-science
- automated-machine-learning
A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning
Visual analysis and diagnostic tools to facilitate machine learning model selection.
- machine-learning
- visual-analysis
- model-selection
- visualization
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
- machine-learning
- scikit-learn
- statistical-learning
- xgboost
Pandas integration with sklearn
Python library for portfolio optimization, factor model construction, and risk management built on scikit-learn
- asset-allocation
- portfolio
- portfolio-optimization
- quantitative-finance
An intuitive library to add plotting functionality to scikit-learn objects.
A modular active learning framework for Python
- scikit-learn
- machine-learning
- python
- active-learning
Feature engineering and selection open-source Python library compatible with sklearn.
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
Genetic Programming in Python, with a scikit-learn inspired API
- genetic-programming
- machine-learning
- python
- scikit-learn
Python implementations of the Boruta all-relevant feature selection method.
Python library for time series forecasting using scikit-learn compatible models, statistical methods, and foundation models
- forecasting
- scikit-learn
- machine-learning
- python