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

Google Research

• machine-learning
• ai
• research

Visualizer for neural network, deep learning and machine learning models

• neural-network
• deep-learning
• machine-learning
• deeplearning

A game theoretic approach to explain the output of any machine learning model.

• interpretability
• machine-learning
• deep-learning
• gradient-boosting

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

The Cloud Native AI Platform

• ml
• kubernetes
• minikube
• tensorflow

stable diffusion webui colab

• stable-diffusion
• stable-diffusion-web-ui
• stable-diffusion-webui
• colab

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

Perform data science on data that remains in someone else's server

• deep-learning
• secure-computation
• pytorch
• privacy

A collection of pre-trained, state-of-the-art models in the ONNX format

• onnx
• models
• download
• pretrained

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

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

Transformer Explained Visually: Learn How LLM Transformer Models Work with Interactive Visualization

• generative-ai
• gpt
• deep-learning
• langauge-model

Learning Convolutional Neural Networks with Interactive Visualization.

• deep-learning
• visualization
• interactive-visualizations
• visual-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

⚡ TabPFN: Foundation Model for Tabular Data ⚡

• data-science
• foundation-models
• machine-learning
• tabpfn

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.

• causal-inference
• machine-learning
• graphical-models
• bayesian-networks

BertViz: Visualize Attention in Transformer Models

• natural-language-processing
• machine-learning
• visualization
• neural-network

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