Python package for graph neural networks in chemistry and biology
- deep-learning
- graph-neural-networks
- dgl
- cheminformatics
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Python package for graph neural networks in chemistry and biology
Pathology Foundation Model - Nature Medicine
In-memory nucleotide sequence k-mer counting, filtering, graph traversal and more
A PyTorch and TorchDrug based deep learning library for drug pair scoring. (KDD 2022)
:triangular_ruler: Numerical integration (quadrature, cubature) in Python
DNABERT: pre-trained Bidirectional Encoder Representations from Transformers model for DNA-language in genome
OpenChem: Deep Learning toolkit for Computational Chemistry and Drug Design Research
Simultaneous Nuclear Instance Segmentation and Classification in H&E Histology Images.
Tasks Assessing Protein Embeddings (TAPE), a set of five biologically relevant semi-supervised learning tasks spread across different domains of protein biology.
An open library for the analysis of molecular dynamics trajectories
Clinical Histopathology Imaging Evaluation Foundation Model
Chainer Chemistry: A Library for Deep Learning in Biology and Chemistry
A flexible framework for solving PDEs with modern spectral methods.
Official release of the ProGen models
Generation of protein sequences and evolutionary alignments via discrete diffusion models
C++ library and cmdline tools for parsing and manipulating VCF files with python and zig bindings
A Python package to visualise neuroanatomical data in atlas space
Firedrake is an automated system for the portable solution of partial differential equations using the finite element method (FEM)
Interactive network visualization in Python and Dash, powered by Cytoscape.js
Simple finite element assemblers
Algebraic Multigrid Solvers in Python
⚗ A package useful for chemistry written in Python
Add built-in support for quaternions to numpy
A Free and Open Source Python Library for Multiobjective Optimization