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Mike Lange's Projects

0xdeca10b icon 0xdeca10b

Decentralized & Collaborative AI on a Blockchain

35searchesinc icon 35searchesinc

Around 35 of the fastest and most widely used full text search algorithms. Written in c, compiled with llvm.clang for iOS and everything else. Boyer-Moore , Knuth-Morris-Pratt, Reverse Colussi even the Zhu-Takaoka algorithm. And 32 more.

ace icon ace

Ace (Ajax.org Cloud9 Editor)

afnetworking-promisekit icon afnetworking-promisekit

PromiseKit+AFNetworking is a small category addition to the delightful PromiseKit, enabling it to work with AFNetworking

aho-corasick icon aho-corasick

Java implementation of the Aho-Corasick algorithm for efficient string matching

ahocorasick icon ahocorasick

A faster and more efficient Golang implement of Aho-Corasick algorithm using Double Array Trie

ai-metrics icon ai-metrics

An open source project to document AI progress through data.

aiorhuman-gpt icon aiorhuman-gpt

This is a step by step guide to building and deploying your own Custom GPT and API with End to End ClearML integration.

airgap icon airgap

Offline LiveUSB to generate and manage secret keys for things such as gpg, certificates, and cryptocurrency

alfred icon alfred

Alfred - A loyal and tireless butler for your stellar wallets

algo icon algo

Algorithms and data structures implemented in Go, JS, TypeScript, Rust, and Swift.

algorithm icon algorithm

Algorithm is a library of tools that is used to create intelligent applications.

algorithms icon algorithms

Minimal examples of data structures and algorithms in Python

alibi icon alibi

Algorithms for monitoring and explaining machine learning models

alphamoops icon alphamoops

An Othello Clone that will kick your ass. I can't even beat me.

alter-native icon alter-native

Source code translator: from high-level language to native language (C++)

aml icon aml

Notebooks for the Algorthmic Machine Learning class @ Eurecom

amla icon amla

AutoML frAmework for Neural Networks

amp-by-example icon amp-by-example

A hands-on introduction to Accelerated Mobile Pages (AMP) focusing on code and live samples.

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