Xueqiang Fan's repositories
ATPdock
This is a program for searching the similar protein-ligand binding pocket from the database based on the query pocket structure
BM3D_py
pure Python implement of BM3D
CDPred
Deep transformer for predicting interchain residue-residue distances of protein complexes
CR-PNN
Gang transform(CR-PNN):Renamed "DD".New ArXiv and code: https://github.com/liugang1234567/Gang-neuron. B站视频讲解:https://www.bilibili.com/video/BV1zp4y1971R/
DUNet-retinal-vessel-detection
A deformable-Unet architecture for retinal vessel segmentation
esfp
ESfP: Event-based Shape from Polarization (CVPR 2023)
Gang-neuron
It may be time to improve the neuron of artificial neural network (IEEE preprints-IEEE preprints ranking (TechRxiv): Top 1 in yearly popularity-You should cite it.): https://doi.org/10.36227/techrxiv.12477266. Dendrite Net: A White-Box Module for Classification, Regression, and System Identification: https://arxiv.org/abs/2004.03955.
I-DNAN6mA
Accurate identification of DNA N6-methyladenine sites using base-pairing map and deep learning
LMPC2D3DCNet
LMPC2D3DCNet: Infrared Polarization-Empowered Full-Time Road Detection via Lightweight Multi-Pathway Collaborative 2D/3D Convolutional Networks
XueqiangF.github.io
XueQiangFan的主页
LDDRS
This is a LWIR DoFP Dataset of Road Scene (LDDRS)
lihang-code
《统计学习方法》的代码实现
plmc
Inference of couplings in proteins and RNAs from sequence variation
pMTnet
Deep Learning the T Cell Receptor Binding Specificity of Neoantigen
polanalyser
Polarization image analysis tool. Demosaicing, Stokes vector, Mueller matrix.
Py_FS
A Python Package for Feature Selection
PyGeneticAlgorithm
A sample Genetic Algorithm implementation in Python
RIDCP
[CVPR 2023] | RIDCP: Revitalizing Real Image Dehazing via High-Quality Codebook Priors
RNAsnap2
Single-sequence and Profile-based Prediction of RNA Solvent Accessibility Using Dilated Convolution Neural Network
VQGAN-pytorch
Pytorch implementation of VQGAN (Taming Transformers for High-Resolution Image Synthesis) (https://arxiv.org/pdf/2012.09841.pdf)