miguelArquezABI

miguelArquezABI's Stars

• astral-sh/uv

  An extremely fast Python package and project manager, written in Rust.

  Language:Rust28.3k807

• unitycatalog/unitycatalog

  Open, Multi-modal Catalog for Data & AI

  Language:Java2.5k396

• DataTalksClub/llm-zoomcamp

  LLM Zoomcamp - a free online course about building a Q&A system

  Language:Jupyter Notebook2.9k475

• databricks/databricks-sdk-py

  Databricks SDK for Python (Beta)

  Language:Python375125

• Kludex/fastapi-tips

  FastAPI Tips by The FastAPI Expert!

  2.2k80

• readthedocs/sphinx-autoapi

  A new approach to API documentation in Sphinx.

  Language:Python440133

• google/tf-quant-finance

  High-performance TensorFlow library for quantitative finance.

  Language:Python4.6k581

• pola-rs/polars

  Dataframes powered by a multithreaded, vectorized query engine, written in Rust

  Language:Rust30.6k2k

• ollama/ollama

  Get up and running with Llama 3.2, Mistral, Gemma 2, and other large language models.

  Language:Go100k8k

• databricks-industry-solutions/propensity

  Get started with our Solution Accelerator for Propensity Scoring to build effective propensity scoring pipelines that: Enable the persistence, discovery and sharing of features across various model training exercises Quickly generate models by leveraging industry best practices Track and analyze the various model iterations generated

  Language:Python52

• databricks-industry-solutions/customer-lifetime-value

  Ingest sample retail data, build visualizations to explore past purchase behavior and use machine learning to predict the likelihood of future purchases

  Language:Python137

• databricks-industry-solutions/cluster-policy

  Language:Python63

• Avaiga/taipy

  Turns Data and AI algorithms into production-ready web applications in no time.

  Language:Python17k1.9k

• sodadata/soda-core

  :zap: Data quality testing for the modern data stack (SQL, Spark, and Pandas) https://www.soda.io

  Language:Python1.9k211

• juselara1/asyncmake.nvim

  Neovim plugin for asynchronous calls to GNU Make.

  Language:Python1

• logicalclocks/hopsworks-tutorials

  Tutorials for the Hopsworks Platform

  Language:Jupyter Notebook25290

• juselara1/textbook.nvim

  Management of jupyter notebooks as text files in neovim.

  Language:Python2

• DataTalksClub/mlops-zoomcamp

  Free MLOps course from DataTalks.Club

  Language:Jupyter Notebook11.2k2.2k

• juselara1/gpttui

  TUI to interact with gpt models.

  Language:Python61

• juselara1/joinpdf

  Simple CLI to merge several pdf files.

  Language:Python1

• whylabs/whylogs

  An open-source data logging library for machine learning models and data pipelines. 📚 Provides visibility into data quality & model performance over time. 🛡️ Supports privacy-preserving data collection, ensuring safety & robustness. 📈

  Language:Jupyter Notebook2.7k121

• community/community

  Public feedback discussions for: GitHub Mobile, GitHub Discussions, GitHub Codespaces, GitHub Sponsors, GitHub Issues and more!

  Language:Ruby6.8k2.6k

• recommenders-team/recommenders

  Best Practices on Recommendation Systems

  Language:Python19.4k3.1k

• PrefectHQ/prefect

  Prefect is a workflow orchestration framework for building resilient data pipelines in Python.

  Language:Python17.6k1.7k

• camilo-cf/mlops_car_sales

  Language:Jupyter Notebook31

• evidentlyai/evidently

  Evidently is ​​an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.

  Language:Jupyter Notebook5.5k604

• jla524/requirements

  A simple script to convert pyproject.toml to requirements.txt.

  Language:Python102

• HumanSignal/label-studio

  Label Studio is a multi-type data labeling and annotation tool with standardized output format

  Language:JavaScript19.6k2.4k

• Rigellute/spotify-tui

  Spotify for the terminal written in Rust 🚀

  Language:Rust17.6k526

• crflynn/databricks-api

  A simplified, autogenerated API client interface using the databricks-cli package

  Language:Python6015