theophile-orus

theophile-orus's Stars

• kamranahmedse/developer-roadmap

  Interactive roadmaps, guides and other educational content to help developers grow in their careers.

  Language:TypeScript299k39.4k

• marvelousmlops/mlops-roadmap-2024

  28655

• All-Hands-AI/OpenHands

  🙌 OpenHands: Code Less, Make More

  Language:Python37.8k4.3k

• keithrozario/Klayers

  Python Packages as AWS Lambda Layers

  Language:Python2.2k313

• graviraja/MLOps-Basics

  Language:Jupyter Notebook6.1k1k

• karpathy/LLM101n

  LLM101n: Let's build a Storyteller

  30.4k1.7k

• WooooDyy/LLM-Agent-Paper-List

  The paper list of the 86-page paper "The Rise and Potential of Large Language Model Based Agents: A Survey" by Zhiheng Xi et al.

  6.9k412

• donnemartin/system-design-primer

  Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.

  Language:Python278k46.6k

• codecrafters-io/build-your-own-x

  Master programming by recreating your favorite technologies from scratch.

  Language:Markdown315k29.2k

• geekan/MetaGPT

  🌟 The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming

  Language:Python45.6k5.4k

• autogluon/autogluon

  Fast and Accurate ML in 3 Lines of Code

  Language:Python8.1k931

• BrickSchema/Brick

  Uniform metadata schema for buildings

  Language:Python29880

• engie-group/shaystack

  Simplifying Implementation of Haystack

  Language:Python248

• chiphuyen/dmls-book

  Summaries and resources for Designing Machine Learning Systems book (Chip Huyen, O'Reilly 2022)

  2.3k346

• xaviervasques/hephaistos

  hephAIstos is a machine learning framework running on CPU, GPU and QPU

  Language:Jupyter Notebook75

• time-series-foundation-models/lag-llama

  Lag-Llama: Towards Foundation Models for Probabilistic Time Series Forecasting

  Language:Python1.3k157

• aws-samples/amazon-forecast-samples

  Notebooks and examples on how to onboard and use various features of Amazon Forecast.

  Language:Jupyter Notebook517369

• optio50/Victron_Modbus_TCP

  Victron Modbus & MQTT Example

  Language:Python277

• trynthink/scout

  A tool for estimating the future energy use, carbon emissions, and capital and operating cost impacts of energy efficiency and demand flexibility technologies in the U.S. residential and commercial building sectors.

  Language:Python6123

• aws-solutions/improving-forecast-accuracy-with-machine-learning

  The Improving Forecast Accuracy with Machine Learning solution generates, tests, compares, and iterates on Amazon Forecast forecasts. The solution automatically produces forecasts and generates visualization dashboards for Amazon QuickSight or Amazon SageMaker Jupyter Notebooks—providing a quick, easy, drag-and-drop interface that displays time series input and forecasted output.

  Language:Python4224

• jtlangevin/flex-bldgs

  Language:Ruby42

• gpt-engineer-org/gpt-engineer

  Platform to experiment with the AI Software Engineer. Terminal based. NOTE: Very different from https://gptengineer.app

  Language:Python52.5k6.8k

• Significant-Gravitas/AutoGPT

  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.

  Language:Python169k44.5k

• AWSinAction/code3

  The source code for Amazon Web Services in Action 3rd edition.

  Language:Java6639