Pinned Repositories
biliwalle
Helper tools for the biliwoli project
deeplearning-biology
A list of deep learning implementations in biology
deeplift
Public facing deeplift repo
dsbra
Double Strand Break Analysis Program
EnhancerCodeConservation
flask
The Python micro framework for building web applications.
illustrAItion
AI-informed illustrations generation tool
keras-tensorflow-gpu-singularity-container
Build a singularity container for keras with tensorflow as backend and with gpu support for ACCRE pascal nodes at Vanderbilt.
LENASampler
Randomly sample LENA recordings
LILACToolSuite
lingchen42's Repositories
lingchen42/illustrAItion
AI-informed illustrations generation tool
lingchen42/EnhancerCodeConservation
lingchen42/LENASampler
Randomly sample LENA recordings
lingchen42/LILACToolSuite
lingchen42/biliwalle
Helper tools for the biliwoli project
lingchen42/keras-tensorflow-gpu-singularity-container
Build a singularity container for keras with tensorflow as backend and with gpu support for ACCRE pascal nodes at Vanderbilt.
lingchen42/deeplearning-biology
A list of deep learning implementations in biology
lingchen42/deeplift
Public facing deeplift repo
lingchen42/dsbra
Double Strand Break Analysis Program
lingchen42/flask
The Python micro framework for building web applications.
lingchen42/HGEN_proj
HGEN II Module 3 Class Project
lingchen42/LaTeX-Vanderbilt-Dissertation-Format
This repository provides a LaTeX template for writing a master's thesis or dissertation. In particular, this document correctly adheres to all of Vanderbilt University's formatting standards for the Electrical Engineering and Computer Science Department as of December 2010. If you are using this template to submit a thesis to a different institution or department, please review your department's submission guidelines as this template may not be applicable.
lingchen42/leetcode_python_solutions
lingchen42/lingchen42.github.io
Personal website
lingchen42/quick_draw_solution
lingchen42/simDNA
Visualize the grammatical pattern of DNA sequences learned by the CNNs
lingchen42/smartcar