Misha Brukman's Projects
LoRa Server is an open-source LoRaWAN network-server
Build cross-platform modern desktop apps in Go + HTML5
Holistic visual regression testing framework for modern web 🖼 First class integration with Storybook, Ladle & other frontend libraries.
⚡️ lowdb is a small local JSON database powered by Lodash (supports Node, Electron and the browser)
The root repo for lowRISC project and FPGA demos.
The next gen ls command
An IS-IS LSP to OpenConfig Schema Library
Visualization Toolbox for Long Short Term Memory networks (LSTMs)
Linux Test Project http://linux-test-project.github.io/
The Google Jsonnet( operation data template language) for Luajit
Grep-like utility based on Lucene Monitor compiled with GraalVM native-image
Mirror of Apache Lucene + Solr
Lucet, the Sandboxing WebAssembly Compiler.
Ludwig is a toolbox built on top of TensorFlow that allows to train and test deep learning models without the need to write code.
An alternative BEAM implementation, designed for WebAssembly
Luminaire is a python package that provides ML driven solutions for monitoring time series data.
Lutris desktop client in Python / PyGObject
Python API for Intelligent Visual Data Discovery
LuxCore source repository
LXC - Linux Containers
A great looking and easy-to-use photo-management-system you can run on your server, to manage and share photos.
lygia, it's a granular and multi-language shader library designed for performance and flexibility
🌌 Fast, in-memory, typo-tolerant, full-text search engine written in TypeScript.
Extremely Fast Compression algorithm
Transform ML models into a native code (Java, C, Python, etc.) with zero dependencies
M3 monorepo - Distributed TSDB and Query Engine, Prometheus Sidecar, Metrics Platform
OS X command line tools for developers – The ultimate tool to manage your Mac. It provides a huge set of command line commands that automatize the usage of your OS X system.
Open source Markdown editor for OS X.
:earth_americas: machine learning algorithms tutorials (mainly in Python3)
Code Repository for Machine Learning with PyTorch and Scikit-Learn