vlang / vsl

The V Scientific Library 
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 [code] 
VSL is a V library for AI and high-performance scientific computing.
VSL's numerical differentiation module was inspired by the GNU Scientific
Library (GSL). See GSL's
`COPYING` file for its
license. VSL remains licensed under the MIT License in its `LICENSE`
file.
Get started with VTL ·
VTL tutorials ·
ML roadmap
## 📖 Documentation
Visit VSL Documentation to explore all supported features and APIs.
 VSL architecture 
 View SVG source · PNG
### Start Here
| Need | Go to |
|------|-------|
| Scientific computing overview | Docs index |
| Working examples | Examples catalog |
| ML/GPU release status | ML roadmap |
| SciPy/GSL capability coverage | Parity tracker |
| CUDA backend | cuda/README.md |
| Vulkan backend | vulkan/README.md |
| Benchmarks | benchmarks/README.md |
| Tensor/autograd/NN layer | VTL |
VSL is a comprehensive Scientific Computing Library offering a rich ecosystem of
mathematical and computational modules. The library provides both pure-V
implementations and optional high-performance backends through established C and
Fortran libraries.
### 🔬 Core Capabilities
- **Linear Algebra**: Complete matrix and vector operations, eigenvalue
 decomposition, linear solvers
- **Machine Learning**: Clustering algorithms (K-means), classification (KNN),
 regression, and NLP tools
- **Numerical Methods**: Differentiation, integration, root finding, polynomial operations
- **Data Visualization**: Advanced plotting with Plotly-style API supporting 2D/3D charts
- **Scientific Computing**: FFT, statistical analysis, probability distributions
- **Parallel Computing**: MPI support and OpenCL acceleration
- **Data I/O**: HDF5 integration for scientific data formats
### ⚡ Performance Architecture
VSL provides flexible performance options:
- **Pure V Implementation**: High-performance, dependency-free BLAS/LAPACK implementations
- **Optimized Backends**: Optional integration with OpenBLAS, LAPACK, MPI,
 OpenCL (VCL), Vulkan Compute, and CUDA (cuBLAS/cuDNN) for maximum performance
- **GPU Acceleration**: OpenCL/VCL, Vulkan Compute, and CUDA support for
 computationally intensive operations
**Pure V BLAS/LAPACK** implementations deliver competitive performance while
eliminating external dependencies. Benchmark results demonstrate excellent
performance characteristics across a wide range of problem sizes.
Each module clearly doc