Molecular Processing Made Easy.
- python
- molecule
- rdkit
- drug-discovery
47,133 repositories indexed
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Molecular Processing Made Easy.
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.
A library provides spatial data and geometric algorithms
[ICLR 2024] DNABERT-2: Efficient Foundation Model and Benchmark for Multi-Species Genome
skimpy is a light weight tool that provides summary statistics about variables in data frames within the console.
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
Official repository for the ProteinGym benchmarks
Tools for computational pathology
A dependency-free cross-platform swiss army knife for PDB files.
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.
PyKEP is a scientific library providing basic tools for research in interplanetary trajectory design.
Iterative Linear Quadratic Regulator with auto-differentiatiable dynamics models
The fast Continuous Wavelet Transform (fCWT) is a library for fast calculation of CWT.
Quantum Computer Library for Everyone
Produce a sharp image of a planetary system object (moon, sun, planets) from many seeing-affected frames according to the "lucky imaging" technique.
Collection of self-contained header-only libraries for C++17
Supernodal sparse direct solver. https://portal.nersc.gov/project/sparse/superlu/
The TiGL Geometry Library to process aircraft geometries in pre-design.
Source code for "DeepDTA: deep drug-target binding affinity prediction"
Native R and Python sample-deletion robustness for omics: candidate certificates, minimum deletion bounds, Bioconductor model refits and donor-level pseudobulk
Solve automatic numerical differentiation problems in one or more variables.
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".