GitHub - PubCyBerry/SDL_teaching: KAIST 동계산학협동 공개강좌 2025 - 생성형 AI를 이용한 최적 설계 기법

Name		Name	Last commit message	Last commit date
Latest commit History 68 Commits
AE.ipynb		AE.ipynb
AE_Anomaly_Detection.ipynb		AE_Anomaly_Detection.ipynb
CNN.ipynb		CNN.ipynb
CNN_competition.ipynb		CNN_competition.ipynb
Conv_AE.ipynb		Conv_AE.ipynb
DNN.ipynb		DNN.ipynb
Decision_tree_and_random_forest.ipynb		Decision_tree_and_random_forest.ipynb
Diffusion.ipynb		Diffusion.ipynb
GAN.ipynb		GAN.ipynb
KAIST_SDL_1_Generative_AI_DDIM.ipynb		KAIST_SDL_1_Generative_AI_DDIM.ipynb
KAIST_SDL_2_Predictive_AI_CNN.ipynb		KAIST_SDL_2_Predictive_AI_CNN.ipynb
KAIST_SDL_3_Optimization.ipynb		KAIST_SDL_3_Optimization.ipynb
Logistic_regression.ipynb		Logistic_regression.ipynb
Principal_component_analysis.ipynb		Principal_component_analysis.ipynb
Support_vector_machine.ipynb		Support_vector_machine.ipynb
VAE.ipynb		VAE.ipynb
cGAN.ipynb		cGAN.ipynb
data_1000.zip		data_1000.zip
data_100_test.zip		data_100_test.zip
data_2000.zip		data_2000.zip
data_3000.zip		data_3000.zip
data_500.zip		data_500.zip