Cross-modal generation of molecules from gene expression inputs.

[ICLR'23] DiffuSeq: Sequence to Sequence Text Generation with Diffusion Models

Recursion's molecular foundation model

Official repo for Recursion's accepted spotlight paper at NeurIPS 2023 Generative AI & Biology workshop.

[NeurIPS 2024 Oral][GPT beats diffusion🔥] [scaling laws in visual generation📈] Official impl. of "Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction". An *ultra-sim…

Collection of papers for Molecular Representation using AI

List of Molecular and Material design using Generative AI and Deep Learning

统计中国大陆的烂尾楼

A Molecular Video-derived Foundation Model for Scientific Drug Discovery (Nature Communications 2024)

AI for Science 论文解读合集（持续更新ing），论文/数据集/教程下载：hyper.ai

PRnet is a flexible and scalable perturbation-conditioned generative model predicting transcriptional responses to unseen complex perturbations at bulk and single-cell levels.

A Dual-Space Contrastive Learning Framework-based Phenotypic Screening Method by Linking Chemical Perturbations to Cellular Morphology

Code and data for GeneGPT.

Next-Token Prediction is All You Need

人工智能培训课件资源

Codebase for "A Foundation Model for Cell Segmentation"

Python package for InfoAlign

Llamole: Multimodal Large Language Models for Inverse Molecular Design with Retrosynthetic Planning

A Deep Learning-Based Model for the integration, cross-dataset cross-modality generation, self augmentation and matched multi-omics simulation of single-cell multi-omics data. Our model excels at m…

Single Cell Multi-omics deep clustering

Graph-linked unified embedding for single-cell multi-omics data integration

The code for "Learning Molecular Representation in a Cell"

Code for paper: "Removing Biases from Molecular Representations via Information Maximization"

Code and models for Molecule-Morphology Contrastive Pretraining (MoCoP)

Enhancing Feature Diversity Boosts Channel-Adaptive Vision Transformers