The PyTorch re-implement of the official DETR.

GoogleTest - Google Testing and Mocking Framework

A Simple Pytorch Implementation of LSTM-based Variational Autoencoder(VAE)

The Pytorch Tutorial of Score-based and Diffusion Model

Datascience-Interview-Questions for Korean

주니어 개발자 채용 정보

A multi-task learning example for the paper https://arxiv.org/abs/1705.07115

Graph Attention Networks (https://arxiv.org/abs/1710.10903)

Locates and tracks the position of lane lines (and the car) in dashcam video.

An open source lane detection toolbox based on PyTorch, including SCNN, RESA, UFLD, LaneATT, CondLane, etc.

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf

TODS: An Automated Time-series Outlier Detection System

We propose a VAE-LSTM model as an unsupervised learning approach for anomaly detection in time series.

👶🏻 신입 개발자 전공 지식 & 기술 면접 백과사전 📖

👦 👧 Technical-Interview guidelines written for those who started studying programming. I wish you all the best. 👾

Solving VRPTW with metaheuristics

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

파이썬을 이용한 업무 자동화 소스코드를 모아 놓은 저장소입니다.

Implementation of Graph Convolutional Networks in TensorFlow

Pytorch implementation of Pointer Network

TensorFlow implementation of "Pointer Networks"

🔓 COR-GAN: Correlation-Capturing Convolutional Neural Networks for Generating Synthetic Healthcare Records

[한빛미디어] "이것이 취업을 위한 코딩 테스트다 with 파이썬" 전체 소스코드 저장소입니다.

Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.

DeepFill v1/v2 with Contextual Attention and Gated Convolution, CVPR 2018, and ICCV 2019 Oral

[NeurIPS 2018] Code for the paper "Binary Classification from Positive-Confidence Data"