farza

freewrite. Swift

DeepLeague. (Open Source) Computer Vision + Deep Learning + League of Legends

gemini-bball. Python

stupid-emails. A simple Python script to tag your G-Mail with AI.

DeepOverwatch. Convolutional neural net built in Keras that determines Overwatch heroes.

ai-movie. Python

Lil-Nvidia. Deep convolutional net that can predict the speed of a car from just a video.

KFIFO-Queue. C++ Implementation of a concurrent K-FIFO queue

MoodGGDesktopForOW. Electron.js/TensorFlow.js based desktop app behind the popular music streaming service mood.gg

SimpleMultilayerPerceptron. Easy to understand demo/guide of a type of neural network, an MLP.

founder-journal. TypeScript

all-on-chain-generated-nft. A repo for generating random NFTs with metadata 100% on chain!

DracoPortedToAndroid. Example of popular compression library "Draco" working in Android using the JNI.

bg-remover. JavaScript

aivc. TypeScript

MoodGGAPIDocs. Documentation and examples for the mood.gg API.

RedditPlaylist. Website that compiles top songs from subreddits into a Spotify playlist.

gorilla-vr. JavaScript

AlmostUnlimited. A Python based app that allows users to "store" videos to the cloud and retrieve them whenever. Backend written using Google Spreadsheets.

BuildSpace. Learn by building.

test-for-anchor. JavaScript

gpt3-writer-starter. CSS

farza.party. farza's world

go-docker-hot-reload. Makefile

darknet. Convolutional Neural Networks

Most-Efficient-Spells. Using Riot API figures out the most efficient spells in the League of Legends universe

self-driving-car. The Udacity open source self-driving car project

DeepGTAV. A plugin for GTAV that transforms it into a vision-based self-driving car research environment.

JavaBrainTeasers. Collection of small Java brain-teasers.

Multicore-Java. Java + Python concurrent programming exercises.

MultiplayerDemo. Multiplayer Android game using LibDGX//Node JS

Spotify-Login-Button-. Simple button to authenticate a user using node/express

Autopilot-TensorFlow. A TensorFlow implementation of this Nvidia paper: https://arxiv.org/pdf/1604.07316.pdf with some changes