mbrukman Goto Github PK

followers: 299.0 following: 36.0 repos: 6.2K gists: 5.0

Name: Misha Brukman

Type: User

Company: @Google

Bio: Co-Founder, @JanusGraph • Startup/VC advisor

Hey there!

I'm Misha, I enjoy building software for both fun & work. I've created or contributed to a number of open-source projects over the years; hopefully, you'll find some of them useful.

Check out my blog for some thoughts and explorations in tech and beyond.

See you around!

Misha Brukman's Projects

dustjs

Asynchronous Javascript templating for the browser and server

dvc

🦉Data Version Control | Git for Data & Models

Preview version of an open source tool that enables developers to run their AWS DynamoDB™ workloads on Apache Cassandra™. With the proxy, developers can run DynamoDB workloads outside of AWS (including on premises, other clouds, and in hybrid configurations).

dynamodb-spanner-migration

dynet

DyNet: The Dynamic Neural Network Toolkit

earthly

Build automation for the container era

easeljs

The Easel Javascript library provides a full, hierarchical display list, a core interaction model, and helper classes to make working with the HTML5 Canvas element much easier.

eastl

EASTL stands for Electronic Arts Standard Template Library. It is an extensive and robust implementation that has an emphasis on high performance.

easy-tensorflow

Simple and comprehensive tutorials in TensorFlow

easyeffects

Limiter, compressor, convolver, equalizer and auto volume and many other plugins for PipeWire applications

easyfix

Make simple fixes easily and safely at scale.

easymock

EasyMock, making mocking easier since 2001

easyocr

Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.

eb-garamond

Digitization of the Garamond shown on the Egenolff-Berner specimen

ebay-beam

A distributed knowledge graph store

ecco

Visuals and explore NLP language models. Ecco creates interactive visualizations directly in Jupyter notebooks explaining the behavior of Transformer-based language models (like GPT2).