N-D labeled arrays and datasets in Python
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Trainable, memory-efficient, and GPU-friendly PyTorch reproduction of AlphaFold 2
- pytorch
- protein-structure
- alphafold2
Chai-1, SOTA model for biomolecular structure prediction
Python+Numpy+OpenGL: fast, scalable and beautiful scientific visualization
Validated, scalable, community developed variant calling, RNA-seq and small RNA analysis
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
Tasks Assessing Protein Embeddings (TAPE), a set of five biologically relevant semi-supervised learning tasks spread across different domains of protein biology.
- deep-learning
- protein-sequences
- protein-structure
- semi-supervised-learning
Vision-Language Pathology Foundation Model - Nature Medicine
- bioimage-analysis
- bioimage-informatics
- conch
- foundation-model
A tool for semi-automatic cell type classification
- python
- single-cell
- machine-learning
- scrna-seq
RNA Velocity generalized through dynamical modeling
Graph-linked unified embedding for single-cell multi-omics data integration
- bioinformatics
- deep-learning
- single-cell
- single-cell-multiomics
Benchmarking analysis of data integration tools
The repository host gives no description.
OpenAeroStruct is a lightweight tool that performs aerostructural optimization using OpenMDAO.
- openmdao
- optimization
- aerodynamics
- open-source
The repository host gives no description.
AI-based pathology predicts origins for cancers of unknown primary - Nature
- histology
- pathology
- wsi-images
- histopathology
ChemML is a machine learning and informatics program suite for the chemical and materials sciences.
- quantum-mechanics
- materials-informatics
- data-science
- machine-learning
An automatic code generator for nonlinear model predictive control (NMPC) and the continuation/GMRES method (C/GMRES) based numerical solvers for NMPC
- model-predictive-control
- nonlinear-model-predictive-control
- mpc
- nmpc
The repository host gives no description.
TransformerCPI: Improving compound–protein interaction prediction by sequence-based deep learning with self-attention mechanism and label reversal experiments(BIOINFORMATICS 2020) https://doi.org/10.1093/bioinformatics/btaa524
- self-attention
- compound-protein-interaction
- transformercpi
- structure-free-virtual-sreening
Accurate and efficient spot detection for microscopy data
A tool for cell instance aware segmentation in densely packed 3D volumetric images
- segmentation
- deep-learning
- bioinformatics
- neural-network
Auto-QChem is an automated workflow for the generation and storage of DFT calculations for organic molecules.
- cheminformatics
- dft-calculations
- automation
- feature