A PyTorch Library for Accelerating 3D Deep Learning Research
- pytorch
- 3d-deep-learning
- neural-networks
- differentiable-rendering
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A PyTorch Library for Accelerating 3D Deep Learning Research
Mesa is an open-source Python library for agent-based modeling, ideal for simulating complex systems and exploring emergent behaviors.
Chai-1, SOTA model for biomolecular structure prediction
Implementation of DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking
Validated, scalable, community developed variant calling, RNA-seq and small RNA analysis
:spider_web: Gmsh for Python
In-memory nucleotide sequence k-mer counting, filtering, graph traversal and more
DNABERT: pre-trained Bidirectional Encoder Representations from Transformers model for DNA-language in genome
A flexible framework for solving PDEs with modern spectral methods.
Algebraic Multigrid Solvers in Python
Prov-GigaPath: A whole-slide foundation model for digital pathology from real-world data
Spatial Single Cell Analysis in Python
🎯 A comprehensive gradient-free optimization framework written in Python
The open source air traffic simulator
A Euclidean diffusion model for structure-based drug design.
Code for the Nature Scientific Reports paper "Pathologist-level classification of histologic patterns on resected lung adenocarcinoma slides with deep neural networks." A sliding window framework for classification of high resolution whole-slide images, often microscopy or histopathology images.
skimpy is a light weight tool that provides summary statistics about variables in data frames within the console.
Simulation-based Lidar Super-resolution for Ground Vehicles
Molecule Validation and Standardization
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
Batched NVIDIA MotionBricks: generate the motion of hundreds of characters in one model call.
🗺️ List of GeoJSON invalid geometry issues with example files
MCP server for spatial transcriptomics analysis through natural language interfaces.
💬 Trace citation chains for any concept across research papers and render them as an interactive graph.