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acpi

Adaptive Conformal Prediction Intervals (ACPI) is a Python package that enhances the Predictive Intervals provided by the split conformal approach by employing a weighting strategy.

admet_ai

Training and prediction scripts for Chemprop models trained on ADMET datasets

af-cba-pipeline

3 stage filtering pipeline for finding binding epitopes

af-protein-universe

af2_benchmark

af_cluster

Predict multiple protein conformations using sequence clustering and AlphaFold2.

afexplorer

all_atom_binder_diffusion

alphaflow

AlphaFold Meets Flow Matching for Generating Protein Ensembles

alphalink

AlphaLink: Integrating crosslinking MS data into OpenFold

alphalink2

AlphaLink2: Integrating crosslinking MS data into Uni-Fold-Multimer

antibody-diffusion-properties

Guiding diffusion models for antibody sequence and structure co-design with developability properties.

antibody_benchmark

Antibody-Antigen Docking and Affinity Benchmark

asyrp_official

official repo for Asyrp : Diffusion Models already have a Semantic Latent Space (ICLR2023)

athaliana-struct

avoidome-analysis

A repository for downloading and analyzing the available Avoidome structures

basislib

Your favorite basis functions for equivariant models in one place. Code borrowed from e3x

biopython-a3mio

A3M/A2M support for BioPython

bridgitplus

candle

Minimalist ML framework for Rust

cf-random

chroma

A generative model for programmable protein design

cloome

colabdesign

Making Protein Design accessible to all via Google Colab!

colabfold

Making Protein folding accessible to all!

concurrent-agent-executor

An concurrent runtime for tool-enhanced language agents

conditional-flow-matching

Conditional Flow Matching: Simulation-Free Dynamic Optimal Transport

confiboot

Confidence bootstrapping for DiffDock

conformal-cascades

Efficient Conformal Prediction via Cascaded Inference with Expanded Admission

conformal-for-design