Pinned Repositories
BS-thesis-code
CP-PINNs
Changepoints Detection with Physics Informed Neural Networks
cs7643_deep_learning_project
FInal project for CS7643 Deep Learning
Dongzhikang
Config files for my GitHub profile.
DYNAMIC-ESTIMATION-OF-IMPLIED-VOLATILITY-SURFACE
Additional results for paper DYNAMIC ESTIMATION OF IMPLIED VOLATILITY SURFACE
GR5206-Intro-to-ds-hw
Homework of GR5205 (Intro to DS)
GR5221-Final-Project
Columbia University 2020 Spring GR5221 Time Series Analysis Final Project
GR5261-Final-Project
Columbia University, 2020 Spring, STAT GR5261, Final Project
MambaVL
Code for paper: MAMBA FUSION: LEARNING ACTIONS THROUGH QUESTIONING
MuseChat-dataset
Dongzhikang's Repositories
Dongzhikang/CP-PINNs
Changepoints Detection with Physics Informed Neural Networks
Dongzhikang/MuseChat-dataset
Dongzhikang/GR5206-Intro-to-ds-hw
Homework of GR5205 (Intro to DS)
Dongzhikang/MambaVL
Code for paper: MAMBA FUSION: LEARNING ACTIONS THROUGH QUESTIONING
Dongzhikang/BS-thesis-code
Dongzhikang/cs7643_deep_learning_project
FInal project for CS7643 Deep Learning
Dongzhikang/GR5261-Final-Project
Columbia University, 2020 Spring, STAT GR5261, Final Project
Dongzhikang/Dongzhikang
Config files for my GitHub profile.
Dongzhikang/DYNAMIC-ESTIMATION-OF-IMPLIED-VOLATILITY-SURFACE
Additional results for paper DYNAMIC ESTIMATION OF IMPLIED VOLATILITY SURFACE
Dongzhikang/GR5221-Final-Project
Columbia University 2020 Spring GR5221 Time Series Analysis Final Project
Dongzhikang/PyTorch-VAE
A Collection of Variational Autoencoders (VAE) in PyTorch.
Dongzhikang/qlib
Qlib is an AI-oriented quantitative investment platform, which aims to realize the potential, empower the research, and create the value of AI technologies in quantitative investment. With Qlib, you can easily try your ideas to create better Quant investment strategies.