Burn is a next generation tensor library and Deep Learning Framework that doesn't compromise on flexibility, efficiency and portability.
- autodiff
- deep-learning
- machine-learning
- rust
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Burn is a next generation tensor library and Deep Learning Framework that doesn't compromise on flexibility, efficiency and portability.
Bayesian optimization in PyTorch
Adaptive Experimentation Platform
Vulkan/CUDA/HIP/OpenCL/Level Zero/Metal Fast Fourier Transform library
A research toolkit for particle swarm optimization in Python
Public/backup repository of the GROMACS molecular simulation toolkit. Please do not mine the metadata blindly; we use https://gitlab.com/gromacs/gromacs for code review and issue tracking.
:four_leaf_clover: Evolutionary optimization library for Go (genetic algorithm, partical swarm optimization, differential evolution)
🎯 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.
Curated (meta)list of resources for Biology.
Native R and Python sample-deletion robustness for omics: candidate certificates, minimum deletion bounds, Bioconductor model refits and donor-level pseudobulk
Genomic sequence storage, indexing and alignment inside PostgreSQL: https://bioseqdb.com/
A command-line utility for quick math.
A coherent Ansible roles collection to simply deploy clusters of nodes.
A strongly-typed genetic programming framework for Python
Graph data structures with multiple heterogeneous metadata for Graphs.jl.
A metaheuristic optimization framework
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