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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

victor-mono icon victor-mono

A free programming font with cursive italics and ligatures. Donations welcome ❤️

victoriametrics icon victoriametrics

VictoriaMetrics - high-performance, cost-effective and scalable time series database, long-term remote storage for Prometheus

video-diffusion-pytorch icon video-diffusion-pytorch

Implementation of Video Diffusion Models, Jonathan Ho's new paper extending DDPMs to Video Generation - in Pytorch

vidgear icon vidgear

High-performance cross-platform Video Processing Python framework powerpacked with unique trailblazing features :sparkles:

vienna-rss icon vienna-rss

Vienna is a free and open-source RSS/Atom newsreader for macOS

vim icon vim

The official Vim repository

vim-abolish icon vim-abolish

abolish.vim: easily search for, substitute, and abbreviate multiple variants of a word

vim-airline icon vim-airline

lean & mean status/tabline for vim that's light as air

viper icon viper

Go configuration with fangs

virgil icon virgil

The font that powers Excalidraw

virgilio icon virgilio

A complete ML study path, focused on TensorFlow and Scikit-Learn

virtuoso-opensource icon virtuoso-opensource

Virtuoso is a scalable cross-platform server that combines Relational, Graph, and Document Data Management with Web Application Server and Web Services Platform functionality.

visidata icon visidata

A console spreadsheet tool for discovering and arranging data

vit icon vit

Implementing Vi(sion)T(transformer)

vit-jax2tf icon vit-jax2tf

This repository hosts code for converting the original Vision Transformer models (JAX) to TensorFlow.

vit-pytorch icon vit-pytorch

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

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