kane9530
I am a postdoctoral bioinformatics research fellow, excited to work at the interface between biology and AI.
kane9530's Stars
PacktPublishing/Interpretable-Machine-Learning-with-Python
Interpretable Machine Learning with Python, published by Packt
KatherLab/mopadi
MOrphing histoPAthology DIffusion models for explainability of AI pipelines in medical image analysis.
matanat/dae_counterfactual
Counterfactual Explanations for Medical Image Classification and Regression using Diffusion Autoencoder
Orange-OpenSource/carla_croco_vcnet
SydneyBioX/GHIST
HWHapply/VID
Virus Infection Detector
blueberrymusic/Deep-Learning-A-Visual-Approach
All of the figures and notebooks for my deep learning book, for free!
DillanSaunders/ZebReg
An Open3D-based tool for 3-dimensional rigid registration of whole tissue images using nuclei staining.
Denis2054/RAG-Driven-Generative-AI
This repository provides programs to build Retrieval Augmented Generation (RAG) code for Generative AI with LlamaIndex, Deep Lake, and Pinecone leveraging the power of OpenAI and Hugging Face models for generation and evaluation.
0xTCG/aldy
Allelic decomposition and exact genotyping of highly polymorphic and structurally variant genes
ganthonyr/CV
This repo contains my CV and the code used to build it.
mbasso/awesome-wasm
😎 Curated list of awesome things regarding the WebAssembly (wasm) ecosystem.
kanaverse/kana
Single cell analysis in the browser
biowasm/biowasm
WebAssembly modules for genomics
sandbox-bio/sandbox.bio
Interactive bioinformatics tutorials
quadbio/RNAseq_tutorial
JoshuaChou2018/AutoBA
An AI Agent for Fully Automated Multi-omic Analyses
prathyvsh/category-theory-resources
Resources for learning Category Theory for an enthusiast
limin321/addImg2annData
Add images to StereoSeq/Stomics spatial data and generate an RDS(Seurat) and h5ad (Scanpy).
ciortanmadalina/contrastive-sc
STOmics/StereoMMv1
StereoMM is a graph fusion model that can integrate gene expression, histological images, and spatial location. And the information interaction within modalities is strengthened by introducing an attention mechanism.
tengfeisubat/StereoMMv1
StereoMM is a graph fusion model that can integrate gene expression, histological images, and spatial location. And the information interaction within modalities is strengthened by introducing an attention mechanism.
ryanzhumich/Contrastive-Learning-NLP-Papers
Paper List for Contrastive Learning for Natural Language Processing
yenchenlin/awesome-adversarial-machine-learning
A curated list of awesome adversarial machine learning resources
OmicsML/awesome-deep-learning-single-cell-papers
QuKunLab/SPACEL
PyGCL/PyGCL
PyGCL: A PyTorch Library for Graph Contrastive Learning
YuLin-code/Spatial-ConGR
ossu/bioinformatics
:microscope: Path to a free self-taught education in Bioinformatics!
narutoten520/Benchmark_SRT
A comprehensive survey of state-of-the-art spatial clustering algorithms in spatially resolved transcriptomics