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User-friendly AI Interface (Supports Ollama, OpenAI API, ...)
🤖 Open-source GenBI AI Agent that empowers data-driven teams to chat with their data to generate Text-to-SQL, charts, spreadsheets, reports, and BI. 📈📊📋🧑💻
Scalable machine 🤖 learning for time series forecasting.
Lightning ⚡️ fast forecasting with statistical and econometric models.
Jupyter Notebooks to help you get hands-on with Pinecone vector databases
🤖 Chat with your SQL database 📊. Accurate Text-to-SQL Generation via LLMs using RAG 🔄.
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 comp…
UpTrain is an open-source unified platform to evaluate and improve Generative AI applications. We provide grades for 20+ preconfigured checks (covering language, code, embedding use-cases), perform…
Uses tokenized query returned by python-sqlparse and generates query metadata
Clean APIs for data cleaning. Python implementation of R package Janitor
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
Python Jupyter kernel using Poetry for reproducible notebooks
Dataframes powered by a multithreaded, vectorized query engine, written in Rust
An unofficial api client for pulling player Stats, Fixtures, Tables and Results data from the Premier League
A Comprehensive Database on the Premier League and the English Football League (1888-2024)
One webpage for every book ever published!
A latent text-to-image diffusion model
xi correlation method adapted for python
Quickly rewrite git repository history (filter-branch replacement)
Python package for loading bank holiday information from gov.uk
A complete computer science study plan to become a software engineer.
Attacking perspective of wingbacks in top 5 leagues in Europe.
ruptures: change point detection in Python
Implementation and experiments of graph neural netwokrs, like gcn,graphsage,gat,etc.
A collection of research papers and software related to explainability in graph machine learning.
Toolkit for the estimation of hierarchical Bayesian vector autoregressions. Implements hierarchical prior selection for conjugate priors in the fashion of Giannone, Lenza & Primiceri (2015). Allows…