changjurhee Goto Github PK

abseil-cpp

Abseil Common Libraries (C++)

act-plus-plus

Imitation Learning algorithms with Co-traing for Mobile ALOHA: ACT, Diffusion Policy, VINN

advanced_cpp

aleth

Aleth – Ethereum C++ client, tools and libraries

aone

2023 LG SA

applicationinspector

A software characterization source code analyzer that helps you understand what a program does by identifying interesting features and characteristics using static analysis and a customizable json based rules engine.

armadillo

Armadillo C++ linear algebra library from http://arma.sourceforge.net

atcd

ACE/TAO/CIAO/DAnCE

bitcoin

Bitcoin Core integration/staging tree

caffe

Caffe: a fast open framework for deep learning.

changjurhee.github.io

blog

common

cppmaster

cppml

A concise and readable metaprogramming language for C++

deck.js

Modern HTML Presentations

deeplearningzerotoall

TensorFlow Basic Tutorial Labs

deepreinforcementlearning

A replica of the AlphaZero methodology for deep reinforcement learning in Python

dp

Design Pattern

dp2

Design Pattern

dynet

DyNet: The Dynamic Neural Network Toolkit

fann

Official github repository for Fast Artificial Neural Network Library (FANN)

farmacy-food-kata

Team Miyagi's Little Forests solution to the Farmacy Food Architecture Kata

hana

Your standard library for metaprogramming

handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

impress.js

It's a presentation framework based on the power of CSS3 transforms and transitions in modern browsers and inspired by the idea behind prezi.com.

incubator-mxnet

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

introtodeeplearning

Lab Materials for MIT 6.S191: Introduction to Deep Learning

keras

케라스를 이용한 딥러닝을 소개하는 교육 자료 저장소

lg-architect-ooad

milewski-ctfp-pdf

Bartosz Milewski's 'Category Theory for Programmers' unofficial PDF and LaTeX source