liangzhendong123

liangzhendong123's Stars

• Noble-Lab/cascadia

  Transformer deep learning model for de novo sequencing of data-independent acquisition mass spectrometry data

  Language:Python62

• yuxumin/PoinTr

  [ICCV 2021 Oral] PoinTr: Diverse Point Cloud Completion with Geometry-Aware Transformers

  Language:Python583109

• cmb-chula/SMSNet

  Language:Python128

• denisbeslic/denovopipeline

  Pipeline for de novo peptide sequencing (Novor, DeepNovo, SMSNet, PointNovo, Casanovo) and assembly with ALPS.

  Language:Python289

• networkx/networkx

  Network Analysis in Python

  Language:Python14.7k3.2k

• young-geng/m3ae_public

  Multimodal Masked Autoencoders (M3AE): A JAX/Flax Implementation

  Language:Python10010

• seongjunyun/Graph_Transformer_Networks

  Graph Transformer Networks (Authors' PyTorch implementation for the NeurIPS 19 paper)

  Language:Jupyter Notebook950179

• graphdeeplearning/graphtransformer

  Graph Transformer Architecture. Source code for "A Generalization of Transformer Networks to Graphs", DLG-AAAI'21.

  Language:Python868133

• acbull/GPT-GNN

  Code for KDD'20 "Generative Pre-Training of Graph Neural Networks"

  Language:Python48088

• gagneurlab/spectralis

  Language:Python106

• kimiyoung/transformer-xl

  Language:Python3.6k762

• THUDM/GraphMAE

  GraphMAE: Self-Supervised Masked Graph Autoencoders in KDD'22

  Language:Python46174

• KevinMcDonnell6/MSencoding

  CNN-GNN encoder for tandem MS spectra

  Language:Python62

• microsoft/Graphormer

  Graphormer is a general-purpose deep learning backbone for molecular modeling.

  Language:Python2.1k333

• facebookresearch/fairseq

  Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

  Language:Python30.2k6.4k

• microsoft/GraphFormers

  Language:Python10820

• lkytal/PepNet

  The state of the art Deep CNN neural network for de novo sequencing of tandem mass spectra

  Language:Python2810

• kusterlab/prosit

  Prosit offers high quality MS2 predicted spectra for any organism and protease as well as iRT prediction. When using Prosit is helpful for your research, please cite "Gessulat, Schmidt et al. 2019" DOI 10.1038/s41592-019-0426-7

  Language:Python8447

• Yan98/DPST

  A de novo peptide sequencing transformer

  Language:Python32

• wilhelm-lab/PROSPECT

  Proteomics Mass Spectrometry Datasets for Machine Learning

  Language:Python103

• bittremieux/spectrum_utils

  Python package for efficient mass spectrometry data processing and visualization

  Language:Python13721

• wfondrie/depthcharge

  A deep learning toolkit for mass spectrometry

  Language:Python6118

• volpato30/DeepNovoV2

  Pytorch implementation of DeepNovoV2, a state-of-the-art de novo peptide sequencing model.

  Language:Python1917

• nh2tran/DeepNovo

  Protein Identification with Deep Learning

  Language:Python9341

• Noble-Lab/casanovo

  De Novo Mass Spectrometry Peptide Sequencing with a Transformer Model

  Language:Python10235

• Shank2358/TS-Conv

  Task-wise Sampling Convolutions for Arbitrary-Oriented Object Detection in Aerial Images

  Language:Python364

• Shank2358/Shank2358

  11

• zju3dv/LoFTR

  Code for "LoFTR: Detector-Free Local Feature Matching with Transformers", CVPR 2021, T-PAMI 2022

  Language:Jupyter Notebook2.2k353

• zju3dv/snake

  Code for "Deep Snake for Real-Time Instance Segmentation" CVPR 2020 oral

  Language:Jupyter Notebook1.2k230

• magicleap/SuperPointPretrainedNetwork

  PyTorch pre-trained model for real-time interest point detection, description, and sparse tracking (https://arxiv.org/abs/1712.07629)

  Language:Python1.9k393