IshitaTakeshi/Louds-Trie

Stars
19
Rank 1,163,249 (Top 23 %)
Language
D
License
MIT License
Created about 10 years ago
Updated almost 10 years ago

IshitaTakeshi/Louds-Trie

IshitaTakeshi

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Implementation of the Trie data structure in D and Python.

PCANet

A Python implementation of PCANet https://arxiv.org/abs/1404.3606

SBA

Python implementation of Sparse Bundle Adjustment

Tadataka

Visual SLAM framework under development

RoadDamageDetector

Implementation of a road damage detector in Chainer

Bilinear-Interpolation-SIMD

Bilinear interpolation using SIMD

TruthFinder

TruthFinder finds true facts from a large amount of conflicting information

Tomasi-Kanade

Implementation of Tomasi-Kanade 3D reconstruction

SCW

Soft Confidence-Weighted Learning in Python

KSVD.jl

NaiveBayes

ナイーブベイズで中二病判定

KanaKanjiConversion

Statistical Kana Kanji Conversion

SoftConfidenceWeighted.jl

Exact Soft Confidence-Weighted Learning

DVO

Visual SLAM framework under development

SVMLightLoader.jl

Loader of svmlight / liblinear format files

VITAMIN-E

Just experiment

ishitatakeshi.github.io

MagicalMirai2020

DTrie

Trie data structure in dlang

ishitatakeshi.netlify.com

RSAKeyGenerator

RSA key generator in Haskell

SparseBundleAdjustment

PartsBasedDetector

RandomForest

Random Forest in C and Python

Matrix4j

Just a homework

Graph

Graph search algorithms

AudioFeatureExtraction

The audio feature extraction tool