Tensor (n-dimensional array) library for F#
- n-dimensional arrays (tensors) in host memory or on CUDA GPUs
- element-wise operations (addition, multiplication, absolute value, etc.)
- basic linear algebra operations (dot product, SVD decomposition,...
Parallel high performance cross-platform C#/.NET algorithms. 20+ algorithms with familiar interfaces and examples. Multi-core and data parallel (SIMD/SSE). Open source and free. See project Readme, blog and videos...
C# implementation of AES-GCM-SIV nonce misuse-resistant authenticated encryption. Fastest available authenticated encryption library for .NET Core, with the encryption/decryption rate of roughly 8 Gbps/core. Implemented using .NET Core 3.0 platform intrinsics.
Provides SIMD-accelerated operations (create, init, map, ...) on native arrays provided by the NativeInterop package
Note for F# Users: The System.Numerics.Vectors package doesn't work out of the box for F# projects. Make sure to MANUALLY ADD...
Yeppp! is a multi-platform high-performance SIMD-optimized mathematical library. Yeppp! provides optimized operations on vectors, such as vector addition, dot product, sum of absolute values, or exponential of vector elements.
This is a multi-platform CLR bundle which internally contains...