Misha Brukman's Projects
generate 3D wireframes as vector art
Convert your ascii diagram scribbles into happy little SVG
SVG to PNG/JPEG command-line tool and Node.js module
⚙️ Node.js tool for optimizing SVG files
Using MathJax and PhantomJS to create SVGs on server side with minimum overhead.
Swagger UI is a dependency-free collection of HTML, Javascript, and CSS assets that dynamically generate beautiful documentation from a Swagger-compliant API.
A toolkit for orchestrating distributed systems at any scale. It includes primitives for node discovery, raft-based consensus, task scheduling and more.
Super-fast typescript / javascript compiler written in rust
The Swift Programming Language
Swift compiler driver reimplementation in Swift
Plugin and runtime library for using protobuf with Swift
A Swift framework to easily capture the screen on OS X.
Swift for TensorFlow's high-level API, modeled after fastai
Swift Language Cookbook
Fast and simple OCR library written in Swift
A Swift wrapper around Tesseract for use in iOS, macOS, and Linux applications
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".
Ivy - a generic completion frontend for Emacs, Swiper - isearch with an overview, and more. Oh, man!
Turn SymPy expressions into trainable JAX expressions.
Synapse: Matrix reference homeserver
Open Source Continuous File Synchronization
Large scale and asynchronous Hyperparameter and Architecture Optimization at your fingertips.
Learn how to design systems at scale and prepare for system design interviews
System design interview for IT companies
These are the best resources for System Design on the Internet
syzkaller is an unsupervised coverage-guided kernel fuzzer
30th anniversary tetris in ClojureScript
T5X is a modular, composable, research-friendly framework for high-performance, configurable, self-service training, evaluation, and inference of sequence models (starting with language) at many scales.
Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks