liangzhendong123

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/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