Repository Index

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.

• python
• machine-learning
• deep-learning
• data-science

Open standard for machine learning interoperability

• deep-learning
• deep-neural-networks
• neural-network
• onnx

Fast and Accurate ML in 3 Lines of Code

• automl
• machine-learning
• data-science
• deep-learning

Open Machine Learning Course

• machine-learning
• data-analysis
• data-science
• pandas

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

Visual analysis and diagnostic tools to facilitate machine learning model selection.

• machine-learning
• visual-analysis
• model-selection
• visualization

Seamlessly integrate LLMs into scikit-learn.

• chatgpt
• deep-learning
• llm
• machine-learning

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

An intuitive library to add plotting functionality to scikit-learn objects.

• scikit-learn
• visualization
• machine-learning
• data-science

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.

• machine-learning
• data-science
• python
• scikit-learn

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 library for time series forecasting using scikit-learn compatible models, statistical methods, and foundation models

• forecasting
• scikit-learn
• machine-learning
• python

Metric learning algorithms in Python

• python
• metric-learning
• scikit-learn
• machine-learning

Extra blocks for scikit-learn pipelines.

• scikit-learn
• machine-learning
• common-sense

Transpile trained scikit-learn estimators and transformers to C, C#, Go, Java, JavaScript, PHP and Ruby.

• machine-learning
• data-science
• scikit-learn
• sklearn

PySpark + Scikit-learn = Sparkit-learn

• scikit-learn
• apache-spark
• machine-learning
• distributed-computing

A scikit-learn based module for multi-label et. al. classification

• classification
• scikit
• scikit-learn
• multi-label

Combines the ease of use of scikit-learn with the power of Theano/Lasagne

• scikit-learn
• lasagne
• deep-learning
• machine-learning