:spider_web: Mesh optimization, mesh smoothing.
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:spider_web: Mesh optimization, mesh smoothing.
A Swift micro library for generating Sunrise and Sunset times on device, requiring no network access.
Spatial Single Cell Analysis in Python
ACADO Toolkit is a software environment and algorithm collection for automatic control and dynamic optimization. It provides a general framework for using a great variety of algorithms for direct optimal control, including model predictive control, state and parameter estimation and robust optimization.
2D/3D simplicial mesh generator interface for Python (Triangle, TetGen, gmsh)
🎯 A comprehensive gradient-free optimization framework written in Python
Junction Tree Variational Autoencoder for Molecular Graph Generation (ICML 2018)
Generative biopolymer design with rich conditioning.
A Python platform to perform parallel computations of optimisation tasks (global and local) via the asynchronous generalized island model.
Benchmarks for generative chemistry
A Euclidean diffusion model for structure-based drug design.
[ICLR 2024] DNABERT-2: Efficient Foundation Model and Benchmark for Multi-Species Genome
RNA Velocity generalized through dynamical modeling
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.
SCENIC is an R package to infer Gene Regulatory Networks and cell types from single-cell RNA-seq data.
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.
A model generator for energy system modelling and optimisation (LP/MILP).
GEARS is a geometric deep learning model that predicts outcomes of novel multi-gene perturbations
Reference mapping for single-cell genomics
V library to develop Artificial Intelligence and High-Performance Scientific Computations
The repository host gives no description.
Genomic Pretrained Network - GPN, GPN-MSA, PhyloGPN, GPN-Star
Pathology Language and Image Pre-Training (PLIP) is the first vision and language foundation model for Pathology AI (Nature Medicine). PLIP is a large-scale pre-trained model that can be used to extract visual and language features from pathology images and text description. The model is a fine-tuned version of the original CLIP model.
The official implementation of 3D Equivariant Diffusion for Target-Aware Molecule Generation and Affinity Prediction (ICLR 2023)