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arraymancer

A fast, ergonomic and portable tensor library in Nim with a deep learning focus for CPU, GPU and embedded devices via OpenMP, Cuda and OpenCL backends

bigint

Arbitrary length integers in pure Nim

bio

Bioinformatics library for Nim

bolt

Bolt is a language with in-built data-race freedom!

boolexpr

Scala library for manipulating boolean expressions

boolexprs.jl

A Julia library for manipulating boolean expressions

bpr.github.io

Brian Rogoff's github page

cart.jl

Clasification And Regression Trees

chalk

An implementation and definition of the Rust trait system using a PROLOG-like logic solver

ed448

egcd

Extended Euclidean algorithm

exchange-aggregator

Connect to websocket API of two coin exchanges, pull order books, and aggregate

faer-rs

Linear algebra foundation for the Rust programming language

fastai.jl

Repository of best practices for deep learning in Julia, inspired by fastai

flightpath

Find start and end path of a flight from an unordered list of (from, to) pairs

flow

Adds static typing to JavaScript to improve developer productivity and code quality.

game-theory-poker

A game-theoretic poker player (written in 2005)

grokkingdeeplearning.jl

Julia translation of "Grokking Deep Learning"

grpc-calculator

Calculator using tonic grpc

hadoop

Some simple hadoop programs

idris2

A purely functional programming language with first class types

incanter

Clojure-based, R-like statistical computing and graphics environment for the JVM

infer

inference and machine learning in clojure

jolt

The simplest and most extensible ZK VM. Fast and fully open source from a16z crypto. ⚡ 💌

julia0p5probabilisticinferenceengine

Basic probability manipulation routines for discrete variables

juml.jl

Machine Learning in Julia

kd_tree

OCaml implementation of kd tree data structure and algorithms

knet.jl

Koç University deep learning framework.

leaf

Open Machine Intelligence Framework for Hackers. (GPU/CPU)

misc-stuff-including-d-programming-language-web-stuff

see some ddoc here: http://arsdnet.net/web.d/ddoc/ or better yet use the link below for various info and see the README