wang3702

CryoREAD

CryoREAD: a computational tool using deep learning to automatically build full DNA/RNA atomic structure from cryo-EM map.

DAQ

DAQ: Residue-Wise Local Quality Estimation for Protein Models from Cryo-EM Maps

DiffModeler

DiffModeler: a diffusion model based protein complex structure modeling tool.

GNN_DOVE

Code for "Protein Docking Model Evaluation by Graph Neural Networks"

AdPE

code for "AdPE: Adversarial Positional Embeddings for Pretraining Vision Transformers via MAE+"

CaCo

CaCo: Both Positive and Negative Samples are Directly Learnable via Cooperative-adversarial Contrastive Learning

CoSeg

CoSeg: Cognitively Inspired Unsupervised Generic Event Segmentation

EnAET

EnAET: Self-Trained Ensemble AutoEncoding Transformations for Semi-Supervised Learning

pix2seq

Pix2Seq codebase: multi-tasks with generative modeling (autoregressive and diffusion)

retina_mae

wang3702/EnAET

EnAET: Self-Trained Ensemble AutoEncoding Transformations for Semi-Supervised Learning

wang3702/CoSeg

CoSeg: Cognitively Inspired Unsupervised Generic Event Segmentation

wang3702/pix2seq

Pix2Seq codebase: multi-tasks with generative modeling (autoregressive and diffusion)

wang3702/retina_mae

wang3702/wang3702.github.io

My personal website

wang3702/ADpred_publication

scripts and notebook for publication of ADpred

wang3702/barlowtwins

PyTorch implementation of Barlow Twins.

wang3702/build-dependency

wang3702/DeepFoldRNA

wang3702/DivideMix

Code for paper: DivideMix: Learning with Noisy Labels as Semi-supervised Learning

wang3702/DOVE

Docking Model Evaluation by 3D Deep Convo-lutional Neural Networks Xiao Wang, Genki Terashi, Charles W. Christoffer, Mengmeng Zhu, and Daisuke Kihara, In submission (2019)

wang3702/Emap2sec

Emap2sec is a computational tool to identify protein secondary structures

wang3702/haoqifan.github.io

wang3702/haruspex

wang3702/L_DMI

Code for NeurIPS 2019 Paper, "L_DMI: An Information-theoretic Noise-robust Loss Function"

wang3702/mae-1

PyTorch implementation of MAE https//arxiv.org/abs/2111.06377

wang3702/mae_rpe

wang3702/moco

PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722

wang3702/MoCo-Pytorch

An unofficial Pytorch implementation of "Improved Baselines with Momentum Contrastive Learning" (MoCoV2) - X. Chen, et al.

wang3702/moco-v3

PyTorch implementation of MoCo v3 https//arxiv.org/abs/2104.02057

wang3702/NLNL-Negative-Learning-for-Noisy-Labels

NLNL: Negative Learning for Noisy Labels

wang3702/periodic-table

wang3702/PlotNeuralNet

Latex code for making neural networks diagrams

wang3702/pytorch-randaugment

Unofficial PyTorch Reimplementation of RandAugment.

wang3702/README

README文件语法解读，即Github Flavored Markdown语法介绍

wang3702/representation-flow-cvpr19

Code and models for our CVPR'19 paper "Representation Flow for Action Recognition"

wang3702/swav

PyTorch implementation of SwAV https//arxiv.org/abs/2006.09882

wang3702/torchlars

A LARS implementation in PyTorch

wang3702/unsup_temp_embed

Official implementation of the paper: Unsupervised learning of action classes with continuous temporal embedding (CVPR'19)

wang3702/wassdistance

Approximating Wasserstein distances with PyTorch