Repository Index

Google Research

• machine-learning
• ai
• research

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

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

stable diffusion webui colab

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

A scikit-learn compatible neural network library that wraps PyTorch

• scikit-learn
• pytorch
• machine-learning
• huggingface

Debugging, monitoring and visualization for Python Machine Learning and Data Science

• ai
• deep-learning
• deeplearning
• machine-learning

A library for debugging/inspecting machine learning classifiers and explaining their predictions

• scikit-learn
• machine-learning
• xgboost
• lightgbm

Algorithms for outlier, adversarial and drift detection

• anomaly
• outlier
• concept-drift
• detection

ZeroCostDL4Mic: A Google Colab based no-cost toolbox to explore Deep-Learning in Microscopy

🍇 GRAPE is a Rust/Python Graph Representation Learning library for Predictions and Evaluations

• graph
• high-performance
• machine-learning
• knowledge-graph

Python package for Bayesian Machine Learning with scikit-learn API

• python
• bayesian-machine-learning
• machine-learning
• scikit-learn

An OCaml kernel for Jupyter (IPython) notebook

• ocaml
• functional-programming
• jupyter-kernels
• machine-learning

Python for chemoinformatics

• chemoinformatics
• scikit-learn
• cheminformatics
• python

scikit-learn wrappers for Python fastText.

⬛ Python Individual Conditional Expectation Plot Toolbox

• machine-learning
• interpretability

Comparing the performance of Stacked Ensemble Learning & machine learning algorithms like Random Forest, Decision Tree, Adaboost, Gradient Boost and XGBoost Classifier in Python for Stock Market Trend Prediction.