Haejoong Lee's repositories
anomaly_detection
Autoencoder, SVM, GAN 기반의 Anomaly Detection에 대한 Papers
Agents_that_Listen
Train an agent to play VizDoom with multi sensory inputs. Trained using sample factory
ai-tech-interview
👩💻👨💻 AI 엔지니어 기술 면접 스터디
all-of-statistics
Self-study on Larry Wasserman's "All of Statistics"
brave-tech-interview
🙋 핵심을 질문하다. 그리고 용감하게 대답하다. 국내 IT기업부터 실리콘밸리까지 "현직자가 해설해주는 기술면접"
Deep-ReinForcement
강화학습 첫걸음
efficientdet-pytorch
A PyTorch impl of EfficientDet faithful to the original Google impl w/ ported weights
FEDOT
Automated modeling and machine learning framework FEDOT
gflownet
Generative Flow Networks
Hands-On-Meta-Learning-With-Python
Learning to Learn using One-Shot Learning, MAML, Reptile, Meta-SGD and more with Tensorflow
HRNet-Semantic-Segmentation
The OCR approach is rephrased as Segmentation Transformer: https://arxiv.org/abs/1909.11065. This is an official implementation of semantic segmentation for HRNet. https://arxiv.org/abs/1908.07919
HypeRL
Authors' PyTorch implementation of 'Recomposing the Reinforcement Learning Building-Blocks with Hypernetworks' (HypeRL)
ICNet-pytorch
ICNet implemented by pytorch, for real-time semantic segmentation on high-resolution images, mIOU=71.0 on cityscapes, single inference time is 19ms, FPS is 52.6.
imgclsmob
Sandbox for training deep learning networks
lets-do-irl
Inverse RL algorithms (APP, MaxEnt, GAIL, VAIL)
MEDIUM_NoteBook
Repository containing notebooks of my posts on Medium
mmsegmentation
OpenMMLab Semantic Segmentation Toolbox and Benchmark.
NLP
시계열 예측 알고리즘 정리
odin
A simple and effective method for detecting out-of-distribution images in neural networks.
outlier-exposure
Deep Anomaly Detection with Outlier Exposure (ICLR 2019)
pytorch-forecasting
Time series forecasting with PyTorch
pytorch-image-models
PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more
pytorch-template
PyTorch deep learning projects made easy.
Stock-Prediction-Models
Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
timeseries-generator
A library to generate synthetic time series data by easy-to-use factors and generator
Transformer_Survey_Study
"A survey of Transformer" paper study 👩🏻💻🧑🏻💻 KoreaUniv. DSBA Lab
trfl
TensorFlow Reinforcement Learning
ydata-synthetic
Synthetic structured data generators
yolov5
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite