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Masamune Ishihara's Projects

diffusers icon diffusers

๐Ÿค— Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch

dinov2 icon dinov2

PyTorch code and models for the DINOv2 self-supervised learning method.

face-api.js icon face-api.js

JavaScript API for face detection and face recognition in the browser and nodejs with tensorflow.js

fastnbt icon fastnbt

Fast serde serializer and deserializer for Minecraft's NBT and Anvil formats

geo-quadkey-rs icon geo-quadkey-rs

geo-quadkey-rs is a Rust library for encoding and decoding geographical coordinates to and from QuadKeys, a tiling approach used by Microsoft's Bing Maps Tile System for interactive mapping solutions.

jda icon jda

Java wrapper for the popular chat & VOIP service: Discord https://discord.com

kaggle-my-code icon kaggle-my-code

I published my kaggle code on Github. My kaggle id is masaishi, https://www.kaggle.com/masaishi.

kaggle-opscp icon kaggle-opscp

This is my codes for the Open Problems โ€“ Single-Cell Perturbations on Kaggle.

mantine icon mantine

A fully featured React components library

mapback-rs icon mapback-rs

mapback-rs is a minimalistic command-line tool designed to generate unzoomed level images from map tiles organized in a quadtree structure.

mbtiles_segmentation icon mbtiles_segmentation

MBTiles_Segmentation is OSS Library to make YOLO segmentation datasets from MBTiles files. This project provides tools to generate image and label data for training and evaluating segmentation models.

mc_map2png icon mc_map2png

This Rust application transforms Minecraft map data from NBT format into a visual PNG image. Additionally, a WebAssembly module is available for converting images on the client side.

mc_map_viewer icon mc_map_viewer

The mc_map_viewer GitHub template offers a solution for visualizing your Minecraft world. By running deploy script, you can effortlessly generate terrain images from your Minecraft region data and publish them as an interactive map site on GitHub Pages.

ml2scratch icon ml2scratch

ๆฉŸๆขฐๅญฆ็ฟ’ x ใ‚นใ‚ฏใƒฉใƒƒใƒ(Connect Machine Learning with Scratch)

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