Stars
GDM Science Skills to speed up agentic scientific workflows with better grounding and higher token efficiency. Integrate insights from AlphaGenome, AFDB, UniProt and 30+ other databases and tools.
Official Codebase for "Neural Thickets: Diverse Task Experts Are Dense Around Pretrained Weights" (ICML 2026 Spotlight)
Generative model for protein binder design for protein and small molecule targets. Combines a pretrained flow-based generative model (built on La-Proteina) with inference-time optimization.
Practical Cheminformatics Tutorials
[NeurIPS 2025] TL;DR: Aligning pretrained unimodal models with the proposed framework using limited paired data yields ~52% gains in cross-modality zero-shot classification and ~92% in retrieval.
Python package for Genome-Wide Association Studies (GWAS). Implements GLM, MLM, FarmCPU, and BLINK with support for VCF, PLINK, HapMap, and CSV genotype formats.
Material and source code for TF-seq manuscript
Notebooks to follow along with "Deep Learning for Biology" Chapters 2 to 6.
This API provides programmatic access to the AlphaGenome model developed by Google DeepMind.
A reactive notebook for Python — run reproducible experiments, query with SQL, execute as a script, deploy as an app, and version with git. Stored as pure Python. All in a modern, AI-native editor.
chaitjo / alphafold3
Forked from google-deepmind/alphafold3Hackable AlphaFold 3 inference pipeline.
Modeling whole bacterial genome as a sequence of proteins.
Multi-scale and multi-task benchmark for evaluating ML models for bacterial genomics across the bacterial tree of life.
Infer copy number variation (CNV) from scRNA-seq data. Plays nicely with Scanpy.
Official implementation of All Atom Diffusion Transformers (ICML 2025)
Welcome to the AWS Community Builders Dashboard repository!
Segment Anything for Microscopy
Python implementation of the GIES algorithm for causal discovery, from the 2012 paper "Characterization and Greedy Learning of Interventional Markov Equivalence Classes of Directed Acyclic Graphs" …
⚡ TabPFN: Foundation Model for Tabular Data ⚡
Context specific and dynamic gene regulatory network reconstruction and analysis
Simulation platform for general-purpose robotics & embodied AI learning.
Gaussian process regression package for counts data with negative binomial and zero-inflated negative binomial likelihoods
pySCENIC is a lightning-fast python implementation of the SCENIC pipeline (Single-Cell rEgulatory Network Inference and Clustering) which enables biologists to infer transcription factors, gene reg…
Gene regulatory network containing signed transcription factor-target gene interactions