Open3D: A Modern Library for 3D Data Processing
- mesh-processing
- computer-graphics
- opengl
- cpp
Repository Index
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Gonum is a set of numeric libraries for the Go programming language. It contains libraries for matrices, statistics, optimization, and more
Draco is a library for compressing and decompressing 3D geometric meshes and point clouds. It is intended to improve the storage and transmission of 3D graphics.
- point-cloud
- 3d-graphics
- compression
- mesh
g2o: A General Framework for Graph Optimization
- g2o
- slam
- c-plus-plus
- graph-optimization
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
- optimization
- nonlinear
- derivatives
- code-generation
DirectXMath is an all inline SIMD C++ linear algebra library for use in games and graphics apps
Cartopy - a cartographic python library with matplotlib support
- cartopy
- matplotlib
- python
- geometry
Easy and extensible benchmarking in Elixir providing you with lots of statistics!
- benchmarking
- elixir
- microbenchmarks
- extensible
Python interface for igraph
- complex-networks
- graph-algorithms
- graph-theory
- mathematics
:small_red_triangle::sunglasses: A curated list of awesome stuff to learn computer graphics
WebGL accelerated JavaScript molecular graphics library
- molecular-graphics
- molecular-modeling
- computational-biology
- computational-chemistry
Geometry, simplified.
- swift
- geometry
- trigonometry
- coregraphics
Precision Medicine Knowledge Graph (PrimeKG)
- knowledge-graph
- precision-medicine
- therapeutics
- bioinformatics
⚡ Datoviz: high-performance GPU rendering for scientific data visualization
- visualization
- graphics
- data-visualization
- scientific-visualization
Python package for graph neural networks in chemistry and biology
- deep-learning
- graph-neural-networks
- dgl
- cheminformatics
In-memory nucleotide sequence k-mer counting, filtering, graph traversal and more
- dna
- k-mer
- python
- bloom-filter
A PyTorch and TorchDrug based deep learning library for drug pair scoring. (KDD 2022)
- deep-learning
- pytorch
- deep-chemistry
- graph-neural-network
OpenChem: Deep Learning toolkit for Computational Chemistry and Drug Design Research
Chainer Chemistry: A Library for Deep Learning in Biology and Chemistry
Interactive network visualization in Python and Dash, powered by Cytoscape.js
- plotly-dash
- plotly
- dash
- cytoscape
Junction Tree Variational Autoencoder for Molecular Graph Generation (ICML 2018)
Graph-linked unified embedding for single-cell multi-omics data integration
- bioinformatics
- deep-learning
- single-cell
- single-cell-multiomics
A thin layer of graphic data types
- graphics-library
- vector
- transformations
- matrix
This is a Pytorch implementation of the paper: Self-Supervised Graph Transformer on Large-Scale Molecular Data