A Deep Learning Toolkit for DTI, Drug Property, PPI, DDI, Protein Function Prediction (Bioinformatics)
- drug-repurposing
- deep-learning
- drug-target-interactions
- toolkit
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A Deep Learning Toolkit for DTI, Drug Property, PPI, DDI, Protein Function Prediction (Bioinformatics)
A coupling library and ecosystem for partitioned multi-physics and multi-scale simulations, including surface and volume coupling.
Polygonal Surface Reconstruction from Point Clouds (C++ & Python)
Open-source cross-platform symbolic algebra library for C# and F#. Can be used for both production and research purposes.
Qhull development for www.qhull.org -- Qhull 2020.2 (8.1-alpha1) at https://github.com/qhull/qhull/wiki
LibTomMath is a free open source portable number theoretic multiple-precision integer library written entirely in C.
MySQL Spatial Data Extension integration with Laravel.
A PyTorch and TorchDrug based deep learning library for drug pair scoring. (KDD 2022)
:triangular_ruler: Numerical integration (quadrature, cubature) in Python
Interactive network visualization in Python and Dash, powered by Cytoscape.js
Fast, sensitive and accurate integration of single-cell data with Harmony
2D/3D simplicial mesh generator interface for Python (Triangle, TetGen, gmsh)
🎯 A comprehensive gradient-free optimization framework written in Python
A Python platform to perform parallel computations of optimisation tasks (global and local) via the asynchronous generalized island model.
Large collection of number systems providing custom arithmetic for mixed-precision algorithm development and optimization for AI, Machine Learning, Computer Vision, Signal Processing, CAE, EDA, control, optimization, estimation, and approximation.
Graph-linked unified embedding for single-cell multi-omics data integration
Advanced date, time and interval library for Java with sun/moon-astronomy and calendars like Chinese, Coptic, Ethiopian, French Republican, Hebrew, Hijri, Historic Christian, Indian National, Japanese, Julian, Korean, Minguo, Persian, Thai, Vietnamese
The fastest automatic differentiation library for C++, with Python bindings. Forward, adjoint and higher-order derivatives, checkpointing, Eigen support and JIT. Reproducible benchmarks against CppAD, Adept and autodiff.
Benchmarking analysis of data integration tools
PyKEP is a scientific library providing basic tools for research in interplanetary trajectory design.
Reference mapping for single-cell genomics
V library to develop Artificial Intelligence and High-Performance Scientific Computations
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.
pyMOR - Model Order Reduction with Python