Starred repositories
Tools for boosting your shell productivity
Prometheus exporter for custom eBPF metrics
Manage your dotfiles across multiple diverse machines, securely.
T81-558: Keras - Applications of Deep Neural Networks @Washington University in St. Louis
Slides and code samples for training, tutorials, and workshops about Docker, containers, and Kubernetes.
Network flow analytics (Netflow, sFlow and IPFIX) with the Elastic Stack
Nodejs extension host for vim & neovim, load extensions like VSCode and host language servers.
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
Library for implementing reservoir computing models (echo state networks) for multivariate time series classification, clustering, forecasting, and much more!
A curated collection of machine learning resources
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
Automated upstream mirror for libbpf stand-alone build.
eBPF-based Networking, Security, and Observability
🔗 Some useful websites for programmers.
BCC - Tools for BPF-based Linux IO analysis, networking, monitoring, and more
A curated list of Machine Learning Surveys, Tutorials and Books.
Python code for "Probabilistic Machine learning" book by Kevin Murphy
Presentation materials for C++Now 2015