Graphical User Interface Toolkit for Python with minimal dependencies
A framework for real-life data science
Data science spreadsheet with Python & SQL
Simple and distributed Machine Learning
Scalable and Flexible Gradient Boosting
Train machine learning models within Docker containers
.NET Standard bindings for Google's TensorFlow for developing models
A reactive notebook for Python
GPU DataFrame Library
Build data pipelines, the easy way
Detecting silent model failure. NannyML estimates performance
Streamline your ML workflow
Data science on data without acquiring a copy
Library providing end-to-end GPU-accelerated recommender systems
Serve machine learning models within a Docker container
Always know what to expect from your data
Project structure for doing and sharing data science work
Automatic extraction of relevant features from time series
Best practices on recommendation systems
Linux for content creation, web scraping, coding, and data analysis.
For building machine learning (ML) workflows and pipelines on AWS
A curated list of data mining papers about fraud detection
All-in-one web-based IDE specialized for machine learning
Jupyter notebooks that demonstrate how to build models using SageMaker
Time Series Forecasting Best Practices & Examples