sagrawal128

sagrawal128's Stars

• robguilarr/genai_pokemon_strategy_assistant

  This projects is an end-to-end architecture designed to enhance Pokémon Go UX. Here demonstrates a sequential process involving multiple Large Language Model (LLM) gpt-4 agents, leveraging a Retrieval-Augmented Generation (RAG) system to deliver personalized responses.

  Language:Python1

• mckinsey/vizro

  Vizro is a low-code toolkit for building high-quality data visualization apps.

  Language:Python2.8k147

• vedic-lang/vedic-lang.github.io

  Vedic language - Online Documentation and Compiler

  Language:SCSS9226

• joonspk-research/generative_agents

  Generative Agents: Interactive Simulacra of Human Behavior

  18.1k2.4k

• NannyML/nannyml

  nannyml: post-deployment data science in python

  Language:Python2k147

• palantir/log4j-sniffer

  A tool that scans archives to check for vulnerable log4j versions

  Language:Go19423

• tamsanh/kedro-great

  The easiest way to integrate Kedro and Great Expectations

  Language:Python5314

• synthesized-io/fairlens

  Identify bias and measure fairness of your data

  Language:Python8911

• linkedin/LiFT

  The LinkedIn Fairness Toolkit (LiFT) is a Scala/Spark library that enables the measurement of fairness in large scale machine learning workflows.

  Language:Scala16721

• machine-learning-apps/great-expectations-render

  Language:Jupyter Notebook4

• interpretml/interpret

  Fit interpretable models. Explain blackbox machine learning.

  Language:C++6.3k737

• zladovan/monorepo

  Showcase of how to manage building projects inside monorepo with Gradle as build tool and CircleCI, Bitbucket Pipelines, Travis CI or GitHub Actions as CI tool.

  Language:Shell21425

• mckinsey/causalnex

  A Python library that helps data scientists to infer causation rather than observing correlation.

  Language:Python2.3k260

• 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:Python10.1k913

• brain-research/self-attention-gan

  Language:Python1k175

• mckinsey/qbstyles

  QuantumBlack Matplotlib styles

  Language:Jupyter Notebook36236

• combust/mleap

  MLeap: Deploy ML Pipelines to Production

  Language:Scala1.5k314