Eric Minwei Liu's repositories
CNCDatabase
A full stack web app for querying cancer driver evidences curated from literature
Awesome-Foundation-Models-in-Medical-Imaging
A curated list of foundation models for vision and language tasks in medical imaging
Awesome-Information-Bottleneck
This is a curated list for Information Bottleneck Principle, in memory of Professor Naftali Tishby.
awesome-kan
A comprehensive collection of KAN(Kolmogorov-Arnold Network)-related resources, including libraries, projects, tutorials, papers, and more, for researchers and developers in the Kolmogorov-Arnold Network field.
Awesome-MIM-1
Awesome List of Masked Image Modeling (MIM) Papers for Self-supervised Visual Representation Learning
awesome-scalability
The Patterns of Scalable, Reliable, and Performant Large-Scale Systems
bayestme
BayesTME: A reference-free Bayesian method for analyzing spatial transcriptomics data
computational-biology-conferences
curated list of computational biology conferences
DinoBloom
Blood Cell Foundation Model based on DINOv2
dinov2-finetune
Finetuning DINOv2 (https://github.com/facebookresearch/dinov2) on your own dataset
FR-Perturb
Factorize-Recover for Perturb-seq analysis (FR-Perturb)
HiFiAlignmentTool
HiFi Image Processing Pipeline
Histopathology-Datasets
Ressources of histopathology datasets
IMC-IF
Dual-modality imaging of immunofluorescence and imaging mass cytometry for high-resolution whole slide imaging with accurate single-cell segmentation
IMCDataAnalysis
R based workflow for multiplexed imaging data
LLM101n
LLM101n: Let's build a Storyteller
nichenetr
NicheNet: predict active ligand-target links between interacting cells
posterior-collapse-list
A curated list of techniques to avoid posterior collapse
python-bioimage-analysis-tutorial
The new and improved 2018 version of the EMBL Python BioImage Analysis Tutorial. Now finally in python 3!
sc-pert
Models and datasets for perturbational single-cell omics
scRNA-seq_notes
A list of scRNA-seq analysis tools
Transformers-Tutorials
This repository contains demos I made with the Transformers library by HuggingFace.