dongjuns Goto Github PK

babylon.js

Babylon.js: a complete JavaScript framework for building 3D games with HTML 5 and WebGL

brunch-article-recommendation

cmssw

CMS NanoAOD software integration repository

crddc2022

Crowdsensing-based Road Damage Detection Challenge (CRDDC2022)

deeplearningzerotoall

TensorFlow Basic Tutorial Labs

detectron

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

detr

End-to-End Object Detection with Transformers

diffusionbee-stable-diffusion-ui

Diffusion Bee is the easiest way to run Stable Diffusion locally on your M1 Mac. Comes with a one-click installer. No dependencies or technical knowledge needed.

dj_synth-ml

dongjuns.github.io

Data Lab

foundations-for-analytics-with-python

important

kcmstutorial

Tutorial script files

keras-retinanet-test-data

Test data for keras-retinanet.

ko_jax_tutorial

JAX tutorial korean version

melon-playlist-continuation

Kakao Arena - Melon Playlist Continuation 대회의 베이스라인 코드

minimal-mistakes

:triangular_ruler: A flexible two-column Jekyll theme perfect for building personal sites, blogs, and portfolios.

nano

nanoAOD tools for production and analysis

nanoold

project2.howmanydatasetweneed

pytorch-gan

PyTorch implementations of Generative Adversarial Networks.

pytorch_yolov4

PyTorch implementation of YOLOv4

roaddamagedetection

roaddamagedetector

simpledet

A Simple and Versatile Framework for Object Detection and Instance Recognition

snntorch

Deep and online learning with spiking neural networks in Python

sparkroot

spark-root applyed to TTHAnalyzer of NanoAOD

three.js

JavaScript 3D library.

topmass

ultralytics

NEW - YOLOv8 🚀 in PyTorch > ONNX > OpenVINO > CoreML > TFLite