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• 📒 GPU policy

  • 🔖 Why the main package drops GPU
  • 🔖 Current performance path
  • 🔖 If you still need more compute

• 📒 ComputingContext module

  • 🔖 ComputingContext / ComputingScope
  • 🔖 Integrated APIs
  • 🔖 Verification and tests
  • 🔖 FftVersion (removed)
  • 🔖 ComputingBackend / priority

• 📒 Core module

  • 🔖 ArrayExtension class
  • 🔖 BaseConverter class
  • 🔖 BitMathExtension class
  • 🔖 Combinatorics class
  • 🔖 ConstantsFp32 class
  • 🔖 NumberMapper class
  • 🔖 PinnableArray<T> class
  • 🔖 SimpleRNG_Fp32 and SimpleRNG_Fp64 classes
  • 🔖 TrigonometryHelper class
  • 🔖 VMath class
  • 🔖 Pinned buffers (Buffers)
  • 🔖 IPinnedBuffer<T> interface
  • 🔖 POHBuffer<T> class
  • 🔖 NativeBuffer<T> class

• 📒 Deep learning module

  • 🔖 BatchTensor and Trainer
  • 🔖 Learning-rate schedulers
  • 🔖 ModelSerializer v3
  • 🔖 Audio integration
  • 🔖 Layers.Layers class (legacy)

• 📒 Linear algebra module

  • 🔖 BasisTransformation class
  • 🔖 LinearEquationSolver class
  • 🔖 Matrix class
  • 🔖 Matrix<T> class
  • 🔖 VMatrixHelper class
  • 🔖 MatrixOperations class
  • 🔖 Quaternion struct
  • 🔖 Tensor class
  • 🔖 Tensor<T> class
  • 🔖 VectorSpan class

• 📒 Machine learning module

  • 🔖 0.9 classifier walkthrough
  • 🔖 KNN<T> class
  • 🔖 MultipleLinearRegression<T> class
  • 🔖 SimpleLinearRegression<T> class
  • 🔖 SupportVectorMachine<TSelf> class
  • 🔖 DBSCAN<T> class
  • 🔖 ExpectationMaximization<T> class
  • 🔖 GMM<T> class
  • 🔖 HierarchicalClustering<T> class
  • 🔖 KMeansClusterer<T> class
  • 🔖 VectorQuantization<T> class
  • 🔖 FactorAnalysis<T> class
  • 🔖 PCA<TSelf> class
  • 🔖 TSNE<T> class
  • 🔖 Distance metric classes

• 📒 Signal processing module

  • 🔖 Audio effects
  • 🔖 Feature extractors
  • 🔖 Other audio feature computation
  • 🔖 Filters
  • 🔖 Fourier transforms
  • 🔖 Common operations
  • 🔖 Time-scale modification (Tsm)
  • 🔖 Signal definition and related operations
  • 🔖 Generators (0.9+)
  • 🔖 Transform operations
  • 🔖 Window functions
  • 🔖 Other

• 📒 Numerics module

  • 🔖 BigFloat struct
  • 🔖 Complex<T> struct
  • 🔖 ComplexFp32 struct
  • 🔖 Int24 struct
  • 🔖 IntRange struct
  • 🔖 Number class
  • 🔖 Point<T> struct
  • 🔖 PointFp32 struct
  • 🔖 Range<T> class
  • 🔖 Rational<T> struct
  • 🔖 RectangleFP32 struct
  • 🔖 Size<T> struct
  • 🔖 SizeFp32 struct
  • 🔖 UInt24 struct

• 📒 Statistics module

  • 🔖 Basic statistics functions
  • 🔖 Advanced statistics functions
  • 🔖 Robust / RunningMoments
  • 🔖 Other statistics functions
  • 🔖 Distribution functions
  • 🔖 Time series analysis
  • 🔖 IComparable extensions
  • 🔖 ExtremeValueFinder
  • 🔖 INumber extensions

• 📒Calculus module

  • 🔖 Limits class
  • 🔖 Integration class
  • 🔖 Derivative class
  • 🔖 TaylorSeries class
  • 🔖 FourierSeries class
  • 🔖 RungeKutta class
  • 🔖 NewtonRaphson class
  • 🔖 Performance tuning guide

• 📒 FFTW extension

  • 🔖 Single-precision DFT
  • 🔖 Dft1D — 1D transform
  • 🔖 Dft2D — 2D transform
  • 🔖 Dft3D — 3D transform
  • 🔖 DftND — N-D transform
  • 🔖 RealToRealTransforms
  • 🔖 Double-precision DFT
  • 🔖 HilbertTransform class
  • 🔖 EnvelopeComputer class
  • 🔖 SignalExtension class

• 📒 Examples

  • 🔖 Directory structure conventions
  • 🔖 Audio_example — NAudio audio pipeline
  • 🔖 Core_example — core and ComputingContext
  • 🔖 MachineLearning_example — tabular learning
  • 🔖 Colorization_example — image colorization
  • 🔖 Models and scenarios
  • 🔖 Command-line usage
  • 🔖 Relationship to the deep learning module