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Highlights
Lists (7)
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Awesome Collections
It contains all the awesome-* content I have been using in my daily lifeCyber Security
This segment contains all the learning resources related to Binary Exploitation, Reverse Engineering, Malware Analysis, Red Team and Blue TeamMalwares
ML and DL
This segment contains all the resources related machine learning and deep learningPhysics and Maths
System Design
Web3 and Blockchain
Starred repositories
Master programming by recreating your favorite technologies from scratch.
๐ Freely available programming books
A complete computer science study plan to become a software engineer.
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
Curated list of project-based tutorials
๐ Path to a free self-taught education in Computer Science!
๐ Algorithms and data structures implemented in JavaScript with explanations and links to further readings
A collection of inspiring lists, manuals, cheatsheets, blogs, hacks, one-liners, cli/web tools and more.
An Open Source Machine Learning Framework for Everyone
Master the command line, in one page
๐ค Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
Command-line program to download videos from YouTube.com and other video sites
Promise based HTTP client for the browser and node.js
โ The Node.js best practices list (July 2024)
Papers from the computer science community to read and discuss.
Tensors and Dynamic neural networks in Python with strong GPU acceleration
๐ฟ A cross-browser library of CSS animations. As easy to use as an easy thing.
Linux, Jenkins, AWS, SRE, Prometheus, Docker, Python, Ansible, Git, Kubernetes, Terraform, OpenStack, SQL, NoSQL, Azure, GCP, DNS, Elastic, Network, Virtualization. DevOps Interview Questions
A list of awesome beginners-friendly projects.
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
Explain complex systems using visuals and simple terms. Help you prepare for system design interviews.
A curated list of awesome Machine Learning frameworks, libraries and software.
A topic-centric list of HQ open datasets.
A curated list of awesome C++ (or C) frameworks, libraries, resources, and shiny things. Inspired by awesome-... stuff.
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.