Python-centric Cookiecutter for Molecular Computational Chemistry Packages
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- python-packages
- molecular-sciences
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Python-centric Cookiecutter for Molecular Computational Chemistry Packages
A dependency-free cross-platform swiss army knife for PDB files.
A High-Level Abstraction Framework for Quantum Algorithms
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.
Benchmarking analysis of data integration tools
Parsers and algorithms for computational chemistry logfiles
The repository host gives no description.
A model generator for energy system modelling and optimisation (LP/MILP).
Iterative Linear Quadratic Regulator with auto-differentiatiable dynamics models
GEARS is a geometric deep learning model that predicts outcomes of novel multi-gene perturbations
Multibody dynamics tool kit.
Universal cheminformatics toolkit, utilities and database search tools
Python library for multilinear algebra and tensor factorizations
Quantum Computer Library for Everyone
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.
An extension for Inkscape that makes it easier to draw optical diagrams.
Neural networks toolbox focused on medical image analysis
A fully featured, pythonic library for representing and using quaternions
The repository host gives no description.
The official implementation of 3D Equivariant Diffusion for Target-Aware Molecule Generation and Affinity Prediction (ICLR 2023)
UCE is a zero-shot foundation model for single-cell gene expression data
Produce a sharp image of a planetary system object (moon, sun, planets) from many seeing-affected frames according to the "lucky imaging" technique.
pyMOR - Model Order Reduction with Python
Image restoration for fluorescence microscopy