Pinned Repositories
6S083
Materials for MIT 6.S083 / 18.S190: Computational thinking with Julia + application to the COVID-19 pandemic
APBS.jl
All Photon Burst Search of smFRET measurements
DataScience
Data Science in Julia course for JuliaAcademy.com, taught by Huda Nassar
ECE5412
For ECE5412: Bayesian Estimation and Stochastic Optimization
Epi_EPMP_Pytorch
Pytorch Implementation of Epi-EPMP multitask model
GPUXS
Calculating SWAXS profiles from large number of atoms using GPU
Interface_GN
GNN models on protein structures
MATH7740
MATH7740 Statistical Learning Theory
network_enhancement_pytorch
Network Enhancement implementation in pytorch
SWAXS
Calculator for Small- and Wide-Angle X-ray Scattering profile.
jipq6175's Repositories
jipq6175/Epi_EPMP_Pytorch
Pytorch Implementation of Epi-EPMP multitask model
jipq6175/SWAXS
Calculator for Small- and Wide-Angle X-ray Scattering profile.
jipq6175/6S083
Materials for MIT 6.S083 / 18.S190: Computational thinking with Julia + application to the COVID-19 pandemic
jipq6175/APBS.jl
All Photon Burst Search of smFRET measurements
jipq6175/DataScience
Data Science in Julia course for JuliaAcademy.com, taught by Huda Nassar
jipq6175/ECE5412
For ECE5412: Bayesian Estimation and Stochastic Optimization
jipq6175/GPUXS
Calculating SWAXS profiles from large number of atoms using GPU
jipq6175/Interface_GN
GNN models on protein structures
jipq6175/IUCrJ_MLWAXS
Machine Learning Approach for Solution X-ray Scattering Data
jipq6175/MATH7740
MATH7740 Statistical Learning Theory
jipq6175/model-zoo
Please do not feed the models
jipq6175/network_enhancement_pytorch
Network Enhancement implementation in pytorch
jipq6175/PkgDev.jl
Julia Package Development Workflow
jipq6175/Sentiment-Analysis-of-Netflix-Reviews
Sentiment Analysis LSTM recurrent neural network's.
jipq6175/STSCI7170
For STSCI7170: Theory of Linear Models
jipq6175/18S191
Course 18.S191 at MIT, fall 2020 - Introduction to computational thinking with Julia:
jipq6175/advent_of_code_2021
Solving advent of code 2021 in Julia
jipq6175/CtCI-6th-Edition-cpp
Cracking the Coding Interview 6th Ed. C++ Solutions
jipq6175/CtCI-6th-Edition-Julia
Solutions for Cracking the Coding Interview 6th Edition by Gayle Laakmann McDowell (in Julia programming language)
jipq6175/eEOM-DEMO
eEOM demonstration, explanation and notes.
jipq6175/FM
FM Demo Repo
jipq6175/jipq6175.github.io
Personal website
jipq6175/Network_Enhancement
jipq6175/StabilityGNN
Modeling mutation effects, dG, using Graph Neural Networks
jipq6175/WWW20-Hands-on-Tutorial
Materials for DGL hands-on tutorial in WWW 2020