Stars
Provision an AWS instance to act as wireguard VPN concetrator
PowerJoular allows monitoring power consumption of multiple platforms and processes
An easy-to-use and fast library for task-based parallelism, utilizing coroutines.
Basic Implemention of LMAX Disruptor < 200 LOC
A beautiful, simple, clean, and responsive Jekyll theme for academics
A memory allocator that automatically reduces the memory footprint of C/C++ applications.
Gnome-shell extension that allows you to move windows into specific regions similiar to FancyZones on windows.
⚡ Energy consumption metrology agent. Let "scaph" dive and bring back the metrics that will help you make your systems and applications more sustainable !
Ubuntu for Rockchip RK35XX Devices
Lightweight non-uniform Fast Fourier Transform in Python
FFT implementation based on FFTPack, but with several improvements, cloned from
A python implementation of the Minimum Jump Cost dissimilarity measure.
A time management utility for GNOME based on the pomodoro technique!
The Patterns of Scalable, Reliable, and Performant Large-Scale Systems
jSimilarity is a library that implements various similarity measures
Wireguard client that exposes itself as a socks5 proxy
A workbench for writing toy implementations of distributed systems.
Tiled scrollable window management for GNOME Shell
Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filte…
Painless relocation of Linux binaries–and all of their dependencies–without containers.
A cross-platform (Windows, MAC, Linux) desktop application to view common bigdata binary format like Parquet, ORC, AVRO, etc. Support local file system, HDFS, AWS S3, Azure Blob Storage ,etc.
An open source indexing subsystem that brings index-based query acceleration to Apache Spark™ and big data workloads.
Collection of experiments to carve out the differences between two types of relational query processing engines: Vectorizing (interpretation based) engines and compiling engines.