fbao-fudan

cellpainting-gallery

116k profiling

CLIP

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

DAK

Explaining the genetic causality for complex diseases by deep association kernel learning

DVIB

DVIB is an information bottleneck method that tries to disentangle multiview data into shared and private representations.

Entropy-of-mixing

Given a dataset collected from multiple experiment batches, how to quantify if sample from different batches are well mixed?

fbao-fudan.github.io

font

groq-moa

Mixture of Agents using Groq

markdown-here

Google Chrome, Firefox, and Thunderbird extension that lets you write email in Markdown and render it before sending.

midnight

Midnight is a Jekyll theme for GitHub Pages

fbao-fudan/DAK

Explaining the genetic causality for complex diseases by deep association kernel learning

fbao-fudan/DVIB

DVIB is an information bottleneck method that tries to disentangle multiview data into shared and private representations.

fbao-fudan/fbao-fudan.github.io

fbao-fudan/cellpainting-gallery

116k profiling

fbao-fudan/CLIP

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

fbao-fudan/Entropy-of-mixing

Given a dataset collected from multiple experiment batches, how to quantify if sample from different batches are well mixed?

fbao-fudan/font

fbao-fudan/groq-moa

Mixture of Agents using Groq

fbao-fudan/markdown-here

Google Chrome, Firefox, and Thunderbird extension that lets you write email in Markdown and render it before sending.

fbao-fudan/midnight

Midnight is a Jekyll theme for GitHub Pages

fbao-fudan/models

Models and examples built with TensorFlow

fbao-fudan/MUSE

Update plan for MUSE

fbao-fudan/PALM

Probabilistic natural mapping for gene-based association study.

fbao-fudan/plip

Pathology Language and Image Pre-Training (PLIP) is the first vision and language foundation model for Pathology AI. PLIP is a large-scale pre-trained model that can be used to extract visual and language features from pathology images and text description. The model is a fine-tuned version of the original CLIP model.

fbao-fudan/Proteomics

fbao-fudan/publication_fingerprint

Contains code for "“Comparative analysis of molecular fingerprint generation methods in drug synergy and sensitivity prediction"

fbao-fudan/rdkit

The official sources for the RDKit library

fbao-fudan/scGAN

Realistic in silico generation and augmentation of single cell RNA-seq data using Generative Adversarial Neural Networks

fbao-fudan/score_sde

Official code for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)

fbao-fudan/SIMLR_PY

Python Implementation of SIMLR for single-cell visualization and analysis

fbao-fudan/STARmap

Software for processing and analyzing STARmap experiments.

fbao-fudan/us-beamform-linarray

Ultrasound beamforming using a linear array in Python and Rust.