julesbertrand

julesbertrand's Stars

• astral-sh/uv

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

  Language:Rust25.7k750

• artefactory/vertex-pipelines-deployer

  Check, compile, upload, run and schedule Vertex Pipelines in a standardized manner.

  Language:Python11

• h2oai/h2o-llmstudio

  H2O LLM Studio - a framework and no-code GUI for fine-tuning LLMs. Documentation: https://docs.h2o.ai/h2o-llmstudio/

  Language:Python4k418

• h2oai/wave

  Realtime Web Apps and Dashboards for Python and R

  Language:Python4k328

• Codium-ai/codiumai-vscode-release

  26737

• Delgan/loguru

  Python logging made (stupidly) simple

  Language:Python19.9k697

• fastapi/sqlmodel

  SQL databases in Python, designed for simplicity, compatibility, and robustness.

  Language:Python14.5k661

• Codium-ai/pr-agent

  🚀CodiumAI PR-Agent: An AI-Powered 🤖 Tool for Automated Pull Request Analysis, Feedback, Suggestions and More! 💻🔍

  Language:Python6k584

• artefactory-skaff/vertex-pipeline-starter-kit

  This is a very basic repo template for you to get started building Vertex pipelines. This is not suitable for prod.

  Language:Python91

• AmenRa/ranx

  ⚡️A Blazing-Fast Python Library for Ranking Evaluation, Comparison, and Fusion 🐍

  Language:Python47326

• zenml-io/mlstacks

  A series of Terraform based recipes to provision popular MLOps stacks on the cloud.

  Language:HCL24732

• zenml-io/zenml

  ZenML 🙏: The bridge between ML and Ops. https://zenml.io.

  Language:Python4.1k438

• pySTEPS/pysteps

  Python framework for short-term ensemble prediction systems.

  Language:Python468169

• learnk8s/xlskubectl

  xlskubectl — a spreadsheet to control your Kubernetes cluster

  Language:JavaScript1.3k62

• statmike/vertex-ai-mlops

  Google Cloud Platform Vertex AI end-to-end workflows for machine learning operations

  Language:Jupyter Notebook503229

• DataTalksClub/mlops-zoomcamp

  Free MLOps course from DataTalks.Club

  Language:Jupyter Notebook11.1k2.1k

• kedro-org/kedro

  Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable, and modular.

  Language:Python9.9k903

• fastapi/fastapi

  FastAPI framework, high performance, easy to learn, fast to code, ready for production

  Language:Python77.3k6.6k

• fastapi/typer

  Typer, build great CLIs. Easy to code. Based on Python type hints.

  Language:Python15.8k671

• pydantic/pydantic

  Data validation using Python type hints

  Language:Python21k1.9k

• artefactory/streamlit_prophet

  Streamlit app to train, evaluate and optimize a Prophet forecasting model.

  Language:Python320233