Streamlit — A faster way to build and share data apps.
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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.
Fast and Accurate ML in 3 Lines of Code
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
Efficiently computes derivatives of NumPy code.
- autograd
- automatic-differentiation
- numpy
- python
The Open Source Feature Store for AI/ML
- machine-learning
- features
- ml
- big-data
A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning
Aim 💫 — An easy-to-use & supercharged open-source experiment tracker.
🌊 Online machine learning in Python
- incremental-learning
- machine-learning
- python
- online-learning
A system for quickly generating training data with weak supervision
- machine-learning
- ai
- weak-supervision
- labeling
common data analysis and machine learning tasks using python
- data-science
- python
- python-tutorial
- data-scientists
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
ZenML 🙏: One AI Platform from Pipelines to Agents. https://zenml.io.
- mlops
- machine-learning
- data-science
- production-ready
A library of extension and helper modules for Python's data analysis and machine learning libraries.
- python
- machine-learning
- data-science
- data-mining
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