🎯 A comprehensive gradient-free optimization framework written in Python
- metaheuristics
- optimization
- optimization-algorithms
- python
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🎯 A comprehensive gradient-free optimization framework written in Python
A pure JavaScript medical research image viewer.
Molecular Processing Made Easy.
Generative biopolymer design with rich conditioning.
Vision-Language Pathology Foundation Model - Nature Medicine
A Euclidean diffusion model for structure-based drug design.
U-Net Brain Tumor Segmentation
Dicoogle - Open Source PACS
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.
[ICLR 2024] DNABERT-2: Efficient Foundation Model and Benchmark for Multi-Species Genome
C library for reading virtual slide images
A Python native dynamical system simulation framework in the block diagram paradigm.
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.
open source software for bidimensional and tridimensional remeshing
Graph-linked unified embedding for single-cell multi-omics data integration
Sequential regulatory activity predictions with deep convolutional neural networks.
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
Tools for computational pathology
A C++14-compatible physical units library with no dependencies and a single-file delivery option. Emphasis on safety, accessibility, performance, and developer experience.
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.
Exascale multiphase flow solver — 2025 Gordon Bell Prize Finalist | 200T grid points on 43K+ GPUs
PyKEP is a scientific library providing basic tools for research in interplanetary trajectory design.
Iterative Linear Quadratic Regulator with auto-differentiatiable dynamics models
GEARS is a geometric deep learning model that predicts outcomes of novel multi-gene perturbations