Use any LLM in Claude Code

Code for improving the performance of sequence-to-expression models for making individual-specific gene expression predictions by fine-tuning them on personal genome and transcriptome data.

DNA Large Language Model Toolkit

A trainable PyTorch reproduction of AlphaFold 3.

Tv test

A command-line interface and Python library for generating AlphaFold3 input files.

RiboNucleic Acid (RNA) Language Model

🏭 Easy data acquisition, benchmark resources, PLM fine-tuning for bio-researchers. (ACL Demo 2025)

Protein-Nucleic Acid Complex Modeling with Frame Averaging Transformer, NeurIPS2024

ncRNABert: Deciphering the landscape of non-coding RNA using language model

The Family of Diffusion Protein Language Models (DPLM)

Integrate the DeepSeek API into popular softwares

Cross-species prediction of histone modifications in plants using the Sei deep learning architecture.

Predicting 2’-O-methylation Sites in Human RNA Using A Pre-trained RNA Language Model

Distributed Inference for Large Language Models.

SnakeMake_RNAseq: A Reproducible and Scalable RNA-seq Analysis Pipeline

FAPLM: A Drop-in Efficient Pytorch Implementation of Protein Language Models

Code associated with the publication 'Generative and predictive neural networks for the design of functional RNA molecules'

Graph Network for protein-protein interface including language model features

Contrastive Heterogeneous Graph Learning with Aromatic Virtual Nodes for RNA-Small Molecule Binding Affinity Prediction

A pre-trained RNA language model powered for RNA subcellular localization prediction.

By invoking local large language models, this tool processes spreadsheets similar to multi-dimensional tables. It can batch-generate content for Excel/CSV data using AI. The tool supports simultane…

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Detection of m6A from direct RNA-Seq data

RAG for Local LLM, chat with PDF/doc/txt files, ChatPDF. 纯原生实现RAG功能，基于本地LLM、embedding模型、reranker模型实现，支持GraphRAG，无须安装任何第三方agent库。

PseU prediction using a combination of CNN and Transformer models based on sequence and secondary structure.