Easy Metagenome Pipeline

Universal skills loader for AI coding agents - npm i -g openskills

Tahoe-x1 is a single cell foundation model designed for gigascale datasets

OpenSkills: Run Claude Skills Locally using any LLM

Easy Amplicon data analysis pipeline

Implementation of Alphafold 3 from Google Deepmind in Pytorch

✔（已完结）最全面的 深度学习 笔记【土堆 Pytorch】【李沐 动手学深度学习】【吴恩达 深度学习】

DIA-BERT: a pre-trained model for data-independent acquisition mass spectrometry-based proteomics data analysis

A book about Language/deep-learning models in Genomics.

BioNeMo Framework: For building and adapting AI models in drug discovery at scale

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

Genomic Pre-trained Network

The official code repository of "OmniESI: A unified framework for enzyme-substrate interaction prediction with progressive conditional deep learning"

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

Size-Wise Analysis of Transfer Learning of pLM Embeddings

Pro-FSFP: Few-Shot Protein Fitness Prediction

Source code of PETA: Evaluating the Impact of Protein Transfer Learning with Sub-word Tokenization on Downstream Applications.

🧬 Fusion of protein sequence and structural information, using denoising pre-training network for zero-shot protein engineering (eLife 2025).

Discovering Interpretable Features in Protein Language Models via Sparse Autoencoders

A Text-guided Protein Design Framework, Nat Mach Intell 2025 (https://www.nature.com/articles/s42256-025-01011-z)