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indrajitkurmi's Projects

90daysofdevops icon 90daysofdevops

I am using this repository to document my journey learning about DevOps. I began this process on January 1, 2022, and plan to continue until March 31. I will be dedicating one hour each day, including weekends, to gaining a foundational understanding of the various aspects of DevOps. This will be a 90-day intensive study period. 2022 & 2023 inc.

ai-notes icon ai-notes

notes for software engineers getting up to speed on new AI developments. Serves as datastore for https://latent.space writing, and product brainstorming, but has cleaned up canonical references under the /Resources folder.

aos-scripts icon aos-scripts

Scripts and Tests related to airborne light-field sampling also called airborne optical sectioning (AOS)

c-plus-plus icon c-plus-plus

Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes.

cv_lab_2019 icon cv_lab_2019

Code for the Computer Vision Lab 2019 at the Johannes Kepler University Linz

deeplearningprojectforked icon deeplearningprojectforked

An in-depth machine learning tutorial introducing readers to a whole machine learning pipeline from scratch.

devops icon devops

This repo contains all my learning related to DevOps

devops-exercises icon devops-exercises

Linux, Jenkins, AWS, SRE, Prometheus, Docker, Python, Ansible, Git, Kubernetes, Terraform, OpenStack, SQL, NoSQL, Azure, GCP, DNS, Elastic, Network, Virtualization. DevOps Interview Questions

fastbook icon fastbook

The fastai book, published as Jupyter Notebooks

hands-on-llms icon hands-on-llms

🦖 𝗟𝗲𝗮𝗿𝗻 about 𝗟𝗟𝗠𝘀, 𝗟𝗟𝗠𝗢𝗽𝘀, and 𝘃𝗲𝗰𝘁𝗼𝗿 𝗗𝗕𝘀 for free by designing, training, and deploying a real-time financial advisor LLM system ~ 𝘴𝘰𝘶𝘳𝘤𝘦 𝘤𝘰𝘥𝘦 + 𝘷𝘪𝘥𝘦𝘰 & 𝘳𝘦𝘢𝘥𝘪𝘯𝘨 𝘮𝘢𝘵𝘦𝘳𝘪𝘢𝘭𝘴

huggingfacediffusers icon huggingfacediffusers

🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch

mlalgorithms icon mlalgorithms

Minimal and clean examples of machine learning algorithms implementations

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