hongqin Goto Github PK

herbsleb-group.github.io

https://hackathon-planning-kit.org/

hipaa-compliance-developers-guide

A developers guide to HIPAA compliance and application development.

hlca

how-to-read-pytorch

Quick, visual, principled introduction to pytorch code through five colab notebooks.

hsnp_disease

icompbio_test2023

ideepmv

iDeepMV is designed to predict which RBPs an unexplored RNA can bind to. It integrates multi-view feature learning, deep feature learning, and multi-label classification technology for RBP recognition. First, based on the raw RNA sequences, we extracted the amino acid sequence view’s data and the dipeptide component view’s data; Then, for the data from different views, we design deep neural network models of the respective views to learn the deep features, and the extracted deep features are further used to train multi-label classifiers that can effectively take the correlation of the labels into account; Finally, the voting mechanism is used to make a multi-view comprehensive decision on the results of each view to further improve the prediction accuracy.

ieee-quantum-week-2020

Talks and notebooks for my sessions during IEEE's Quantum Week 2020 (October 12-16, 2020), see https://qce.quantum.ieee.org/tutorials/#tut-asfaw

image_manipulation_detection

Paper: CVPR2018, Learning Rich Features for Image Manipulation Detection

imaginaire

NVIDIA PyTorch GAN library with distributed and mixed precision support

incubator-mxnet

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

intro_machinelearning

Introduction to Machine Learning

intro_python

Scientific Computing with Python

jz_2016march

Triple negative breast cancer proteomic data set

k12_materials

kdd-2019-hands-on

DGL tutorial in KDD 2019

kdd-hands-on-keras

Code for the hands on tutorial on Deep Learning with Keras that I attended at KDD 2018.

kdd-tutorials-2020-deep-robust-anomaly-detection

Tutorials website compiled for KDD 2020

kdd20-tutorial

Tutorial on Automated Machine Learning at KDD 2020

kdd2020

KDD 2020 Workshop

kdd2020-1

Website for KDD 2020 Tutorial on User-centric xai for healthcare

keras_dna

kirklandsummer14

labs

Rmd source files for the HarvardX series PH525x

lifespan_gompertz_contour_plot_r

Lifespan_Gompertz_contour_plot in R

liger

R package for integrating and analyzing multiple single-cell datasets

liquid-warping-gan

PyTorch implementation of our ICCV 2019 paper: Liquid Warping GAN: A Unified Framework for Human Motion Imitation, Appearance Transfer and Novel View Synthesis

loh_h2o2_2016

lukaszkujawa.github.io

mask-yolo

Inspired from Mask R-CNN to build a multi-task learning, two-branch architecture: one branch based on YOLOv2 for object detection, the other branch for instance segmentation. Simply tested on Rice and Shapes. MobileNet supported.