Repository Index

Streamlit — A faster way to build and share data apps.

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

Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!

• machine-learning
• models
• ui
• ui-components

A reactive notebook for Python — run reproducible experiments, query with SQL, execute as a script, deploy as an app, and version with git. Stored as pure Python. All in a modern, AI-native editor.

• notebooks
• python
• data-science
• machine-learning

A Library for Advanced Deep Time Series Models for General Time Series Analysis.

• deep-learning
• time-series
• time-series-analysis

Fast and Accurate ML in 3 Lines of Code

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

A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.

• cookiecutter-data-science
• cookiecutter
• cookiecutter-template
• data-science

A unified framework for machine learning with time series

• time-series
• machine-learning
• scikit-learn
• time-series-classification

A python library for user-friendly forecasting and anomaly detection on time series.

• python
• time-series
• forecasting
• machine-learning

Deep universal probabilistic programming with Python and PyTorch

• python
• pytorch
• machine-learning
• bayesian

Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per second 🚀

• dataframe
• python
• bigdata
• tabular-data

An open source python library for automated feature engineering

• feature-engineering
• machine-learning
• data-science
• automated-machine-learning

The Open Source Feature Store for AI/ML

• machine-learning
• features
• ml
• big-data

Uplift modeling and causal inference with machine learning algorithms

• incubation
• machine-learning
• causal-inference
• uplift-modeling

MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.

• cntk
• visualization
• tensorflow
• model-converter

Lightning ⚡️ fast forecasting with statistical and econometric models.

• time-series
• statistics
• forecasting
• arima

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

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

Scalable and user friendly neural :brain: forecasting algorithms.

• deep-learning
• forecasting
• esrnn
• nbeats

Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and models from research to production.

• machine-learning
• ml
• model-validation
• data-validation

The machine learning toolkit for time series analysis in Python

• time-series
• timeseries
• time-series-analysis
• time-series-clustering

Visualize and compare datasets, target values and associations, with one line of code.

• pandas-dataframe
• eda
• pandas
• data-exploration

StellarGraph - Machine Learning on Graphs

• graphs
• machine-learning
• machine-learning-algorithms
• graph-convolutional-networks

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

A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.

• ai
• fairness-ai
• fairness
• fairness-testing

Pandas integration with sklearn