47,133 repositories indexed
1–24 of 26 · Most stars
Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math code and a java based math library on top of the core c++ library. Also includes samediff: a pytorch/tensorflow like library for running deep learn...
Official repository for the Boltz biomolecular interaction models
Mesa is an open-source Python library for agent-based modeling, ideal for simulating complex systems and exploring emergent behaviors.
This package contains deep learning models and related scripts for RoseTTAFold
Implementation of DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking
Open-source GNSS + inertial navigation, sensor fusion simulator. Motion trajectory generator, sensor models, and navigation
Gazebo database of SDF models. This is a predecessor to https://app.gazebosim.org
ProtTrans is providing state of the art pretrained language models for proteins. ProtTrans was trained on thousands of GPUs from Summit and hundreds of Google TPUs using Transformers Models.
TorchXRayVision: A library of chest X-ray datasets and models. Classifiers, segmentation, and autoencoders.
Molecular Sets (MOSES): A Benchmarking Platform for Molecular Generation Models
Foundation Models for Genomics & Transcriptomics
Official implementation for HyenaDNA, a long-range genomic foundation model built with Hyena
Official release of the ProGen models
Generation of protein sequences and evolutionary alignments via discrete diffusion models
bert-loves-chemistry: a repository of HuggingFace models applied on chemical SMILES data for drug design, chemical modelling, etc.
Iterative Linear Quadratic Regulator with auto-differentiatiable dynamics models
The official implementation of 3D Equivariant Diffusion for Target-Aware Molecule Generation and Affinity Prediction (ICLR 2023)
Umbrella package of the 'spatstat' family................
OpenBioLink is a resource and evaluation framework for evaluating link prediction models on heterogeneous biomedical graph data.
🏃 The go-to single-cell Foundation Model
Inner ear models for Python
Repository for paper scMulan: a multitask generative pre-trained language model for single-cell analysis.
A powerful library extending VBA with over 100 functions for math, stats, finance, and data manipulation. It supports matrix operations, and user-defined functions, enhancing automation and analysis within Microsoft Office and LibreOffice environments for data management, financial calculations, an more.
A foundation model-driven whole slide image-scale cell phenotyping method with QuPath integration Resources