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Tags: Science and math
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97–120 of 345 · Most stars

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

An open library for the analysis of molecular dynamics trajectories

  • molecular-dynamics
  • python
  • mdtraj
  • rmsd

VexCL is a C++ vector expression template library for OpenCL/CUDA/OpenMP

  • opencl
  • cuda
  • c-plus-plus
  • gpgpu

RBDL is a C++ library that contains some essential and efficient rigid body dynamics algorithms such as the Articulated Body Algorithm (ABA) for forward dynamics, Recursive Newton-Euler Algorithm (RNEA) for inverse dynamics, the Composite Rigid Body Algorithm (CRBA) for the efficient computation of the joint space inertia matrix and is also able to compute forward dynamics with external contact constraints and collision impulses. Furthermore it has some basic support for forward and inverse kinematics.

  • articulated-body-algorithm
  • inverse-dynamics
  • forward-dynamics
  • multi-body-dynamics

C++ library and cmdline tools for parsing and manipulating VCF files with python and zig bindings

  • variant-calling
  • genomics
  • vcf-manipulation
  • genotyping

Firedrake is an automated system for the portable solution of partial differential equations using the finite element method (FEM)

Nonconvex embedded optimization: code generation for fast real-time optimization + ROS support

  • embedded-optimization
  • nonconvex
  • model-predictive-control
  • rust-library

The Point Processing Toolkit (pptk) is a Python package for visualizing and processing 2-d/3-d point clouds.

Spatial Single Cell Analysis in Python

  • single-cell-rna-seq
  • single-cell-genomics
  • spatial-transcriptomics
  • spatial-analysis

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.

🎯 A comprehensive gradient-free optimization framework written in Python

A Python platform to perform parallel computations of optimisation tasks (global and local) via the asynchronous generalized island model.

  • optimization
  • optimization-algorithms
  • optimization-methods
  • optimization-problem

Vision-Language Pathology Foundation Model - Nature Medicine

  • bioimage-analysis
  • bioimage-informatics
  • conch
  • foundation-model