ML-HARwithDTs

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.

The leader in Next-Generation Customer Data Infrastructure

The developer first cloud governance platform

Jitsu is an open-source Segment alternative. Fully-scriptable data ingestion engine for modern data teams. Set-up a real-time data pipeline in minutes, not days

A python library for decision tree visualization and model interpretation.

For extensive instructor led learning

Infinite Bookshelf: Generate entire books in seconds using Groq and Llama3

Player Analytics plugin for Minecraft Server platforms - View player activity of your server with ease. :calendar:

Chat app for Android that supports answers from multiple LLMs at once. Bring your own API key AI client. Supports OpenAI, Anthropic, Google, and Ollama. Designed with Material3 & Compose.