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advanced-deep-learning

Files for the Advanced Machine Learning Coursera course

advent-2020

advent-2021

advent-2022

advent-2022

advent-code-2019-rust

Advent of code... in Rust!

apollo-client

:rocket: A fully-featured, production ready caching GraphQL client for every UI framework and GraphQL server

arc-example-ws

Example of Web Socket Lambdas

black

The uncompromising Python code formatter

clap

A full featured, fast Command Line Argument Parser for Rust

dbupdatetable

Create keyed tables in a MySQL db from R data.table models which can easily be updated

deep-learning-things

Just Deep Learning Things

demo

Random stuff

deno

flamegraph

Stack trace visualizer

incubator-airflow

Apache Airflow (Incubating)

indie-stack

The Remix Stack for deploying to Fly with SQLite, authentication, testing, linting, formatting, etc.

isahc

The practical HTTP client that is fun to use.

mathml

A crate to parse mathml documents

maxclassify

An efficient maximum entropy classifier, with some convenience functions

maxent

maxent is an R package with tools for low-memory multinomial logistic regression, also known as maximum entropy. The focus of this maximum entropy classifier is to minimize memory consumption on very large datasets, particularly sparse document-term matrices represented by the tm package. The classifier is based on an efficient C++ implementation written by Dr. Yoshimasa Tsuruoka.

mdx

JSX in Markdown for ambitious projects

mdx-example

An example of using MDX with Next.js

minikeyvaluer

minikeyvaluer

ml-course

Code for the Andrew Ng 's coursera on ML

newtonraphson

My Newton Raphson algorithm

open_nintil

Notebooks and analysis for Nintil.com

openssh-rs

Scriptable SSH through OpenSSH in Rust

pandas.table

prisma-data-proxy-alt

This is a library to alternate and self-host the Prisma Data Proxy (cloud.prisma.io)

quasr

QS in Rust