Showing 1-13 of 13 projects
This is a historical repository of Unix commits from 1970 to the present, providing insights into the evolution of the operating system.
This is a homepage for STAT 157, a statistics course at UC Berkeley, and not a developer platform.
A powerful network analysis and packet capture tool for developers and security professionals.
Open source collection of deep learning and reinforcement learning courses from top universities.
A repository for learning BPF (Berkeley Packet Filter), a powerful in-kernel programming language.
Softlearning is a powerful reinforcement learning framework for training maximum entropy policies in continuous domains.
This is a topics course on deep learning from UC Berkeley, not a developer platform focused on vibe coders.
CRATE is a Python library that enables efficient compression and sparsification of transformer-based models.
Codebase for a Python-based humanoid robot developed at UC Berkeley.
A Scala-based hardware accelerator for deep neural networks, part of Berkeley's AI hardware research.
This Python library from UC Berkeley's RAIL lab is focused on reinforcement learning research and applications.
ABC is a system for sequential logic synthesis and formal verification, not a vibe coder tool.
Documentation and presentations for the eBPF (extended Berkeley Packet Filter) framework
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