Official repository for the Boltz biomolecular interaction models
- binding-prediction
- drug-discovery
- protein-structure
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Official repository for the Boltz biomolecular interaction models
SIMD-accelerated distances, dot products, matrix ops, geospatial & geometric kernels for 16 numeric types — from 6-bit floats to 64-bit complex — across x86, Arm, RISC-V, and WASM, with bindings for Python, Rust, C, C++, Swift, JS, and Go 📐
Implementation of DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking
C++ library and cmdline tools for parsing and manipulating VCF files with python and zig bindings
[ICLR 2024] DNABERT-2: Efficient Foundation Model and Benchmark for Multi-Species Genome
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.
GraphDTA: Predicting drug-target binding affinity with graph neural networks
Source code for "DeepDTA: deep drug-target binding affinity prediction"
Crystal bindings to Chipmunk, a fast and lightweight 2D game physics library
D language binding to Newton Dynamics
Dynamic bindings to the Open Dynamics Engine physics library for the D Programming Language.
GNU Scientific Library (GSL) bindings for Scala native