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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...
OpenBLAS is an optimized BLAS library based on GotoBLAS2 1.13 BSD version.
Simple MPL-2.0-licensed C++ geometry processing library.
Mesa is an open-source Python library for agent-based modeling, ideal for simulating complex systems and exploring emergent behaviors.
CasADi is a symbolic framework for numeric optimization implementing automatic differentiation in forward and reverse modes on sparse matrix-valued computational graphs. It supports self-contained C-code generation and interfaces state-of-the-art codes such as SUNDIALS, IPOPT etc. It can be used from C++, Python, Matlab/Octave, Julia or Javascript
A python module for scientific analysis of 3D data based on VTK and Numpy
An implementation of chunked, compressed, N-dimensional arrays for Python.
USD BRep is a standalone C++ and Python library for NURBS-based boundary representation (BRep) solid modeling
A collection of GICP-based fast point cloud registration algorithms
Implementation of DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking
ADAM is a genomics analysis platform with specialized file formats built using Apache Avro, Apache Spark, and Apache Parquet. Apache 2 licensed.
Open-source cross-platform symbolic algebra library for C# and F#. Can be used for both production and research purposes.
An axiom-free formalization of category theory in Coq for personal study and practical work
Pathology Foundation Model - Nature Medicine
A PyTorch and TorchDrug based deep learning library for drug pair scoring. (KDD 2022)
Tasks Assessing Protein Embeddings (TAPE), a set of five biologically relevant semi-supervised learning tasks spread across different domains of protein biology.
A Euclidean diffusion model for structure-based drug design.
Pathology Language and Image Pre-Training (PLIP) is the first vision and language foundation model for Pathology AI (Nature Medicine). PLIP is a large-scale pre-trained model that can be used to extract visual and language features from pathology images and text description. The model is a fine-tuned version of the original CLIP model.
Neural networks toolbox focused on medical image analysis
Ark -- Archetype-based Entity Component System (ECS) for Go.
Kaapana is an open source toolkit for state of the art platform provisioning in the field of medical data analysis. The applications comprise AI-based workflows and federated learning scenarios with a focus on radiological and radiotherapeutic imaging. The name Kaapana comes from the Hawaiian word kaʻāpana, meaning "distributor" or "part".
Graph-based molecule modeling toolkit for cheminformatics
D3 plugin which computes a treemap based on a Voronoi tesselation
A formalization of geometry in Coq based on Tarski's axiom system