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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
📚 Freely available programming books
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
🤗 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
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Linux, Jenkins, AWS, SRE, Prometheus, Docker, Python, Ansible, Git, Kubernetes, Terraform, OpenStack, SQL, NoSQL, Azure, GCP, DNS, Elastic, Network, Virtualization. DevOps Interview Questions
A curated list of awesome Machine Learning frameworks, libraries and software.
scikit-learn: machine learning in Python
A collection of learning resources for curious software engineers
Automatic SQL injection and database takeover tool
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
The fundamental package for scientific computing with Python.
We have made you a wrapper you can't refuse
An LLM-powered knowledge curation system that researches a topic and generates a full-length report with citations.
Distributed Task Queue (development branch)
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
Python sample codes and textbook for robotics algorithms.
⚡ Automatically decrypt encryptions without knowing the key or cipher, decode encodings, and crack hashes ⚡
CTF framework and exploit development library
Cross-platform lib for process and system monitoring in Python
Modin: Scale your Pandas workflows by changing a single line of code
An advanced memory forensics framework
🐸 Identify anything. pyWhat easily lets you identify emails, IP addresses, and more. Feed it a .pcap file or some text and it'll tell you what it is! 🧙♀️
Easily migrate your codebase from one framework or language to another.
A flexible package manager that supports multiple versions, configurations, platforms, and compilers.
Awesome IoT. A collaborative list of great resources about IoT Framework, Library, OS, Platform