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

Data and code behind the articles and graphics at FiveThirtyEight

• data

stable diffusion webui colab

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

StableLM: Stability AI Language Models

This repository contains implementations and illustrative code to accompany DeepMind publications

Jupyter Interactive Notebook

• closember
• jupyter
• jupyter-notebook
• notebook

Kubernetes Community Documentation

• kubernetes

The repository host gives no description.

Automatic extraction of relevant features from time series:

• data-science
• feature-extraction
• time-series

A scikit-learn compatible neural network library that wraps PyTorch

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

Create delightful software with Jupyter Notebooks

• jupyter-notebooks
• python
• literate-programming
• fastai

links to conference publications in graph-based deep learning

• graph-neural-networks
• graph-convolutional-networks
• graph
• deep-learning

JAX implementation of OpenAI's Whisper model for up to 70x speed-up on TPU.

• deep-learning
• jax
• speech-recognition
• speech-to-text

Performance analysis of predictive (alpha) stock factors

• finance
• python
• pandas
• numpy

Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.

• tensorflow
• machine-learning
• regression
• convolutional-neural-networks

The Hunting ELK

• hunting
• elasticsearch
• kibana
• logstash

Bringing stable diffusion models to web browsers. Everything runs inside the browser with no server support.

• webgpu
• deep-learning
• stable-diffusion
• web-assembly

Lectures on scientific computing with python, as IPython notebooks.

Bayesian optimization in PyTorch

🛠 All-in-one web-based IDE specialized for machine learning and data science.

• machine-learning
• deep-learning
• data-science
• docker

Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier

• machine-learning
• deep-learning
• lstm
• human-activity-recognition

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

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

MIMIC Code Repository: Code shared by the research community for the MIMIC family of databases

• mimic-iii
• critical-care
• icu
• physionet