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Apache Arrow is a cross-language development platform for in-memory data. It specifies a standardized language-independent columnar memory format for flat and hierarchical data, organized for efficient analytic operations on modern hardware. It also provides computational libraries and zero-copy streaming messaging and interprocess communication. Languages currently supported include C, C++, Java, JavaScript, Python, and Ruby.

bmlib

An implementation of the general Boltzmann machine

cppunit-example

dbm

Simple implementation of Deep Boltzmann Machine

deepcube

An implementation of the paper "Solving the Rubik's Cube without Human Knowledge"

ferl

An implementation of a simple kind of Free Energy based Reinforcement Learning

flex-bison-calc

An implementation of the calculator shown in the bison tutorial

github-actions-sample

Github Actions を試す

gpt-neox

An implementation of model parallel autoregressive transformers on GPUs, based on the DeepSpeed library.

jos

My implementation of JOS kernel

ktakuya332c.github.io

My Blog

kubeflow-examples

Examples for Kubeflow and Kubeflow pipelines

learn-ggml

mle

An implementation of the paper "Optimizing F-measure: A Tale of Two Approaches"

react-tic-tac-toe

An implementation of the tic-tac-toe game

simple-clean-architecture

tracker

An implementation of the paper "On tracking the partition function"