Mridula Maddukuri (MridulaMaddukuri)

MridulaMaddukuri

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Location:San Francisco

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Mridula Maddukuri's starred repositories

LLM101n

LLM101n: Let's build a Storyteller

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python-poetry-docker-example

Example of integrating Poetry with Docker leveraging multi-stage builds.

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MLSys-NYU-2022

Slides, scripts and materials for the Machine Learning in Finance Course at NYU Tandon, 2022

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mlops-zoomcamp

Free MLOps course from DataTalks.Club

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tech-interview-handbook

💯 Curated coding interview preparation materials for busy software engineers

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soda-core

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

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great_expectations

Always know what to expect from your data.

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gitflow

Git extensions to provide high-level repository operations for Vincent Driessen's branching model.

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Machine-Learning-Notebooks

Machine Learning notebooks for refreshing concepts.

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og-aws

📙 Amazon Web Services — a practical guide

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professional-programming

A collection of learning resources for curious software engineers

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arctic

High performance datastore for time series and tick data

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2023-pydata-global-order-up

PyData Global 2023 - Order up! How do I deliver it?

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nougat

Implementation of Nougat Neural Optical Understanding for Academic Documents

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HiGHS

Linear optimization software

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fin-ml

This github repository of "Machine Learning and Data Science Blueprints for Finance". Please star.

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ml-interviews-book

https://huyenchip.com/ml-interviews-book/

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data-engineering-zoomcamp

Free Data Engineering course!

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MLE-Flashcards

200+ detailed flashcards useful for reviewing topics in machine learning, computer vision, and computer science.

License:GPL-3.0Stargazers:1930Issues:0Issues:0

public-apis

A collective list of free APIs

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ML_Process_Course

Public repo for the 365 Data Science ML Process Course

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guardrails

Adding guardrails to large language models.

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nanoGPT

The simplest, fastest repository for training/finetuning medium-sized GPTs.

Language:PythonLicense:MITStargazers:35625Issues:0Issues:0

handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

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abseil-py

Abseil Common Libraries (Python)

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hypothesis

Hypothesis is a powerful, flexible, and easy to use library for property-based testing.

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pydantic

Data validation using Python type hints

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mlstacks

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

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Machine-Learning-Engineering-with-Python

Machine Learning Engineering with Python

Language:Jupyter NotebookLicense:MITStargazers:163Issues:0Issues:0

system-design

Learn how to design systems at scale and prepare for system design interviews

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