IzPerfect's Stars
rmsmech/Tutorials
Contains WPF based examples
kaki104/WpfTest
KaburiCoder/Wpf-Tutorials
WPF 기본 강좌 소스코드
Coding-Fibre/recursive-menu
bitfumes/fastapi-course
geoseong/serverless-study
studying serverless framework for awskrug #gudi
wpcodevo/python_fastapi
This article will teach you how to create a CRUD RESTful API with Python, FastAPI, SQLAlchemy ORM, Pydantic, Alembic, PostgreSQL, and Docker-compose to perform the basic Create/Read/Update/Delete operations against a database.
pixegami/fastapi-tutorial
A simple FastAPI application.
johnkomarnicki/FireBlogs-YouTube
TylerPottsDev/yt-vue-sidebar
googlesamples/mlkit
A collection of sample apps to demonstrate how to use Google's ML Kit APIs on Android and iOS
joshua1988/vue-til-server
boost-devs/ai-tech-interview
👩💻👨💻 AI 엔지니어 기술 면접 스터디 (⭐️ 1k+)
Stick-To/Object-Detection-Tensorflow
Object Detection API Tensorflow
dualcoder-pe/android_tflite
subinium/Misc-Cheatsheet
대학원 생활을 하며 사용하는 작고 소중한 코딩팁 (linux 명령어 등)
tensorflow/models
Models and examples built with TensorFlow
Stick-To/CenterNet-tensorflow
CenterNet: Objects as Points in Tensorflow
teddylee777/machine-learning
머신러닝 입문자 혹은 스터디를 준비하시는 분들에게 도움이 되고자 만든 repository입니다. (This repository is intented for helping whom are interested in machine learning study)
tbmoon/kalman_filter
Kalman Filter in Python (파이썬으로 구현하는 칼만 필터)
GunhoChoi/PyTorch-FastCampus
PyTorch로 시작하는 딥러닝 입문 CAMP (2017.7~2017.12) 강의자료
pilsung-kang/Business-Analytics-IME654-
Course homepage for "Business Analytics (IME654)" @Korea University
eriklindernoren/Keras-GAN
Keras implementations of Generative Adversarial Networks.
tkwoo/anogan-keras
Unsupervised anomaly detection with generative model, keras implementation
abars/keras-image-ocr
Keras sample of image ocr
Tony607/keras-image-ocr
How to train a Keras model to recognize variable length text | DLology
anujshah1003/convolution-layer-visualization-VGG-16
A GUI Tool for visualizing the intermediate layer of VGG-16 CNN trained on Imagenet
FairyOnIce/ObjectDetectionYolo
amusi/awesome-object-detection
Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html
experiencor/keras-yolo2
Easy training on custom dataset. Various backends (MobileNet and SqueezeNet) supported. A YOLO demo to detect raccoon run entirely in brower is accessible at https://git.io/vF7vI (not on Windows).