Pinned Repositories
Attention-yolov5
AttentionDeepMIL
Implementation of Attention-based Deep Multiple Instance Learning in PyTorch
dataset-histology-landmarks
Dataset: landmarks for registration of histology images
deepcell-tf
Deep Learning Library for Single Cell Analysis
f-AnoGAN
Code for reproducing f-AnoGAN training and anomaly scoring
hact-net
HistomicsTK
A Python toolkit for pathology image analysis algorithms.
hover_net
Simultaneous Nuclear Instance Segmentation and Classification in H&E Histology Images.
improved_wgan_training
Code for reproducing experiments in "Improved Training of Wasserstein GANs"
kmcuda
Large scale K-means and K-nn implementation on NVIDIA GPU / CUDA
liangzhendong123's Repositories
liangzhendong123/ASAP
Program for the analysis and visualization of whole-slide images in digital pathology
liangzhendong123/casanovo
De Novo Mass Spectrometry Peptide Sequencing with a Transformer Model
liangzhendong123/denovopipeline
Pipeline for de novo peptide sequencing (Novor, DeepNovo, SMSNet, PointNovo, Casanovo) and assembly with ALPS.
liangzhendong123/depthcharge
A deep learning toolkit for mass spectrometry
liangzhendong123/DPST
A de novo peptide sequencing transformer
liangzhendong123/fairseq
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
liangzhendong123/GPT-GNN
Code for KDD'20 "Generative Pre-Training of Graph Neural Networks"
liangzhendong123/Graph_Transformer_Networks
Graph Transformer Networks (Authors' PyTorch implementation for the NeurIPS 19 paper)
liangzhendong123/GraphFormers
liangzhendong123/GraphMAE
GraphMAE: Self-Supervised Masked Graph Autoencoders in KDD'22
liangzhendong123/GraphMAE2
GraphMAE2: A Decoding-Enhanced Masked Self-Supervised Graph Learner in WWW'23
liangzhendong123/Graphormer
Graphormer is a deep learning package that allows researchers and developers to train custom models for molecule modeling tasks. It aims to accelerate the research and application in AI for molecule science, such as material design, drug discovery, etc.
liangzhendong123/KPConv-PyTorch
Kernel Point Convolution implemented in PyTorch
liangzhendong123/LoFTR
Code for "LoFTR: Detector-Free Local Feature Matching with Transformers", CVPR 2021
liangzhendong123/m3ae_public
Multimodal Masked Autoencoders (M3AE): A JAX/Flax Implementation
liangzhendong123/MinkowskiEngine
Minkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors
liangzhendong123/MSencoding
CNN-GNN encoder for tandem MS spectra
liangzhendong123/OpenBLAS
OpenBLAS is an optimized BLAS library based on GotoBLAS2 1.13 BSD version.
liangzhendong123/PASS
Proteome Assembler with Short Sequence peptide
liangzhendong123/PepNet
liangzhendong123/PoinTr
[ICCV 2021 Oral] PoinTr: Diverse Point Cloud Completion with Geometry-Aware Transformers
liangzhendong123/PROSPECT
Proteomics Mass Spectrometry Dataset for Machine Learning
liangzhendong123/qupath
QuPath - Bioimage analysis & digital pathology
liangzhendong123/snake
Code for "Deep Snake for Real-Time Instance Segmentation" CVPR 2020 oral
liangzhendong123/spectralis
liangzhendong123/spectrum_utils
Python package for efficient mass spectrometry data processing and visualization
liangzhendong123/SuperPointPretrainedNetwork
PyTorch pre-trained model for real-time interest point detection, description, and sparse tracking (https://arxiv.org/abs/1712.07629)
liangzhendong123/transformer-xl
liangzhendong123/TS-Conv
Task-wise Sampling Convolutions for Arbitrary-Oriented Object Detection in Aerial Images
liangzhendong123/valis
Virtual Alignment of pathoLogy Image Series