🤖 Chat with your SQL database 📊. Accurate Text-to-SQL Generation via LLMs using RAG 🔄.

LLM inference in C/C++

🚀🧠💬 Supercharged Custom Instructions for ChatGPT (non-coding) and ChatGPT Advanced Data Analysis (coding).

A Julia machine learning framework

Open-sourced codes for MiniGPT-4 and MiniGPT-v2 (https://minigpt-4.github.io, https://minigpt-v2.github.io/)

12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

18 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/

Distribute and run LLMs with a single file.

A spatiotemporal causal convolutional network for predicting PM2.5 concentrations.

FauxPilot - an open-source alternative to GitHub Copilot server

A tiny library for coding with large language models.

Code for Retriving STAC Information, addressing Repeated Spatial Infelicities and interfacing with Rsome Spectral Indices

AD computation with Template Model Builder (TMB)

The simplest way to run LLaMA on your local machine

AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.

GeoWombat: Utilities for geospatial data

The Unified ML Representation

Chat with your documents on your local device using GPT models. No data leaves your device and 100% private.

A library for scientific machine learning and physics-informed learning

R interface for cuML

Code and content for "Tidy Modeling with R"

CUDA-accelerated GIS and spatiotemporal algorithms

💪 Models' quality and performance metrics (R2, ICC, LOO, AIC, BF, ...)

Graphical analysis of random forests with the randomForestSRC, randomForest and ggplot2 packages.

An R package for tidy stacked ensemble modeling

mlr3: Machine Learning in R - next generation

Extra learners for use in mlr3.

Machine Learning algorithms for spatial and spatiotemporal data

Google Earth Engine for R