-
University of Oxford
- Oxford, United Kingdom
-
20:55
(UTC) - linkedin.com/in/prabhav-desai/
Highlights
Starred repositories
All Algorithms implemented in Python
Cracking the Coding Interview 6th Ed. Python Solutions
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.
Spring Boot Full Stack with React for Professionals
Everything you need to know to get the job.
π Freely available programming books
Popular algorithms explained in simple language with examples and links to their implementation in various programming languages and other required resources.
Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes.
JUCE is an open-source cross-platform C++ application framework for desktop and mobile applications, including VST, VST3, AU, AUv3, LV2 and AAX audio plug-ins.
Curated list of open-source quantum software projects.
Crack LeetCode, not only how, but also why.
A curated awesome list of lists of interview questions. Feel free to contribute! π
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.
Everything you need to prepare for your technical interview
π Awesome lists about all kinds of interesting topics [NOTE: Pull requests are temporarily disabled until I have a chance to catch up with the existing ones]
Toturials coming with the "data science roadmap" picture.
Curated list of project-based tutorials
Curated coding interview preparation materials for busy software engineers
A curated list of awesome quantum computing learning and developing resources.
24 Lessons, 12 Weeks, Get Started as a Web Developer
Learn how to design, develop, deploy and iterate on production-grade ML applications.

