A Python framework for GPU-accelerated simulation, robotics, and machine learning.
- differentiable-programming
- python
- gpu-acceleration
- nvidia
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A Python framework for GPU-accelerated simulation, robotics, and machine learning.
Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization Algorithm,Immune Algorithm, Artificial Fish Swarm Algorithm, Differential Evolution and TSP(Traveling salesman)
Distributed Evolutionary Algorithms in Python
An open-source, GPU-accelerated physics simulation engine built upon NVIDIA Warp, specifically targeting roboticists and simulation researchers.
Official git repository for Biopython (originally converted from CVS)
This repository includes the official project of TransUNet, presented in our paper: TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation.
This package contains deep learning models and related scripts for RoseTTAFold
A set of documented functions for simulating the performance of photovoltaic energy systems.
Open-source GNSS + inertial navigation, sensor fusion simulator. Motion trajectory generator, sensor models, and navigation
Validated, scalable, community developed variant calling, RNA-seq and small RNA analysis
Firedrake is an automated system for the portable solution of partial differential equations using the finite element method (FEM)
🎯 A comprehensive gradient-free optimization framework written in Python
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.
Produce a sharp image of a planetary system object (moon, sun, planets) from many seeing-affected frames according to the "lucky imaging" technique.
A generic interface for the environmental perception of automated driving functions in virtual scenarios.
Kaapana is an open source toolkit for state of the art platform provisioning in the field of medical data analysis. The applications comprise AI-based workflows and federated learning scenarios with a focus on radiological and radiotherapeutic imaging. The name Kaapana comes from the Hawaiian word kaʻāpana, meaning "distributor" or "part".
Schema and generated objects for biolink data model and upper ontology
Automated 3D cell detection in very large images
Associated Repository for "Translation between Molecules and Natural Language"
A Python package for molecular docking with an extensive, highly-curated dataset and a set of realistic benchmark tasks for drug discovery.
Automated 3D brain registration with support for multiple species and atlases.
Auto-QChem is an automated workflow for the generation and storage of DFT calculations for organic molecules.
CASSIA: A Multi-Agent LLM-Based Single-Cell Cell Type Annotation Framework
Accurate segmentation of bacterial microscope images using deep learning synthetically generated image data.