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Nikola Miljkovic's Projects

autosub icon autosub

Command-line utility for auto-generating subtitles for any video file

django-reportengine icon django-reportengine

Another Django based reports framework, this one aims to allow for good non-orm reports as well as easily created orm reports.

dragact icon dragact

a dragger layout system with React style .

effectivepython icon effectivepython

Effective Python: Second Edition โ€” Source Code and Errata for the Book

jsoncrack.com icon jsoncrack.com

๐Ÿ”ฎ Seamlessly visualize your JSON data instantly into graphs; paste, import or fetch!

jumpcutter icon jumpcutter

Automatically edits vidx. Explanation here: https://www.youtube.com/watch?v=DQ8orIurGxw

keydb icon keydb

A Multithreaded Fork of Redis

locust icon locust

Scalable user load testing tool written in Python

minisearch icon minisearch

Tiny and powerful JavaScript full-text search engine for browser and Node

nafnet icon nafnet

The state-of-the-art image restoration model without nonlinear activation functions.

nginx-proxy-pitfalls icon nginx-proxy-pitfalls

I noticed that many people can be confused about how nginx proxy works so this repository was emerged

ntfy icon ntfy

Send push notifications to your phone or desktop using PUT/POST

postal icon postal

โœ‰๏ธ A fully featured open source mail delivery platform for incoming & outgoing e-mail

postgresml icon postgresml

PostgresML is an end-to-end machine learning system. It enables you to train models and make online predictions using only SQL, without your data ever leaving your favorite database.

posthog icon posthog

๐Ÿฆ” PostHog provides open-source product analytics that you can self-host.

qoi icon qoi

The โ€œQuite OK Imageโ€ format for fast, lossless image compression

react-grid-layout icon react-grid-layout

A draggable and resizable grid layout with responsive breakpoints, for React.

rivagan icon rivagan

Robust video watermarking with non-differentiable adversaries.

siggraph_colorization icon siggraph_colorization

Code for the paper 'Let there be Color!: Joint End-to-end Learning of Global and Local Image Priors for Automatic Image Colorization with Simultaneous Classification'.

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