indrajitkurmi Goto Github PK
Type: User
Type: User
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.
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.
Scripts and Tests related to airborne light-field sampling also called airborne optical sectioning (AOS)
Airborne Optical Sectioning Simulation
The Patterns of Scalable, Reliable, and Performant Large-Scale Systems
This repository contains System Design resources which are useful while preparing for interviews and learning Distributed Systems
Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes.
Repository for the Computer Graphics Lab 2021
A complete computer science study plan to become a software engineer.
course.fast.ai 2022 part 2
Code for the Computer Vision Lab 2019 at the Johannes Kepler University Linz
An in-depth machine learning tutorial introducing readers to a whole machine learning pipeline from scratch.
This repo contains all my learning related to DevOps
Linux, Jenkins, AWS, SRE, Prometheus, Docker, Python, Ansible, Git, Kubernetes, Terraform, OpenStack, SQL, NoSQL, Azure, GCP, DNS, Elastic, Network, Virtualization. DevOps Interview Questions
Deep Learning Fundamentals -- Code material and exercises
A curated list of engineering blogs
The fast.ai course notebooks
The fastai book, published as Jupyter Notebooks
A curated collection of free Machine Learning related eBooks
:books: Freely available programming books
Solve puzzles. Learn CUDA.
🦖 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
Learn GitHub Practices
🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch
Everything you need to know to get the job.
Plain python implementations of basic machine learning algorithms
Machine Learning Engineering Online Book
Minimal and clean examples of machine learning algorithms implementations
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.