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:ledger: GPU policy
- :bookmark: Why the main package drops GPU
- :bookmark: Current performance path
- :bookmark: If you still need more compute
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:ledger: ComputingContext module
- :bookmark: ComputingContext / ComputingScope
- :bookmark: Integrated APIs
- :bookmark: Verification and tests
- :bookmark: FftVersion (removed)
- :bookmark: ComputingBackend / priority
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:ledger: Core module
- :bookmark: ArrayExtension class
- :bookmark: BaseConverter class
- :bookmark: BitMathExtension class
- :bookmark: Combinatorics class
- :bookmark: ConstantsFp32 class
- :bookmark: NumberMapper class
- :bookmark: PinnableArray<T> class
- :bookmark: SimpleRNG_Fp32 and SimpleRNG_Fp64 classes
- :bookmark: TrigonometryHelper class
- :bookmark: VMath class
- :bookmark: Pinned buffers (Buffers)
- :bookmark: IPinnedBuffer<T> interface
- :bookmark: POHBuffer<T> class
- :bookmark: NativeBuffer<T> class
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:ledger: Deep learning module
- :bookmark: BatchTensor and Trainer
- :bookmark: Learning-rate schedulers
- :bookmark: ModelSerializer v3
- :bookmark: Audio integration
- :bookmark: Layers.Layers class (legacy)
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:ledger: Linear algebra module
- :bookmark: BasisTransformation class
- :bookmark: LinearEquationSolver class
- :bookmark: Matrix class
- :bookmark: Matrix<T> class
- :bookmark: VMatrixHelper class
- :bookmark: MatrixOperations class
- :bookmark: Quaternion struct
- :bookmark: Tensor class
- :bookmark: Tensor<T> class
- :bookmark: VectorSpan class
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:ledger: Machine learning module
- :bookmark: 0.9 classifier walkthrough
- :bookmark: KNN<T> class
- :bookmark: MultipleLinearRegression<T> class
- :bookmark: SimpleLinearRegression<T> class
- :bookmark: SupportVectorMachine<TSelf> class
- :bookmark: DBSCAN<T> class
- :bookmark: ExpectationMaximization<T> class
- :bookmark: GMM<T> class
- :bookmark: HierarchicalClustering<T> class
- :bookmark: KMeansClusterer<T> class
- :bookmark: VectorQuantization<T> class
- :bookmark: FactorAnalysis<T> class
- :bookmark: PCA<TSelf> class
- :bookmark: TSNE<T> class
- :bookmark: Distance metric classes
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:ledger: Signal processing module
- :bookmark: Audio effects
- :bookmark: Feature extractors
- :bookmark: Other audio feature computation
- :bookmark: Filters
- :bookmark: Fourier transforms
- :bookmark: Common operations
- :bookmark: Time-scale modification (Tsm)
- :bookmark: Signal definition and related operations
- :bookmark: Generators (0.9+)
- :bookmark: Transform operations
- :bookmark: Window functions
- :bookmark: Other
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:ledger: Numerics module
- :bookmark: BigFloat struct
- :bookmark: Complex<T> struct
- :bookmark: ComplexFp32 struct
- :bookmark: Int24 struct
- :bookmark: IntRange struct
- :bookmark: Number class
- :bookmark: Point<T> struct
- :bookmark: PointFp32 struct
- :bookmark: Range<T> class
- :bookmark: Rational<T> struct
- :bookmark: RectangleFP32 struct
- :bookmark: Size<T> struct
- :bookmark: SizeFp32 struct
- :bookmark: UInt24 struct
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:ledger: Statistics module
- :bookmark: Basic statistics functions
- :bookmark: Advanced statistics functions
- :bookmark: Robust / RunningMoments
- :bookmark: Other statistics functions
- :bookmark: Distribution functions
- :bookmark: Time series analysis
- :bookmark: IComparable extensions
- :bookmark: ExtremeValueFinder
- :bookmark: INumber extensions
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:ledger:Calculus module
- :bookmark: Limits class
- :bookmark: Integration class
- :bookmark: Derivative class
- :bookmark: TaylorSeries class
- :bookmark: FourierSeries class
- :bookmark: RungeKutta class
- :bookmark: NewtonRaphson class
- :bookmark: Performance tuning guide
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:ledger: FFTW extension
- :bookmark: Single-precision DFT
- :bookmark: Dft1D โ 1D transform
- :bookmark: Dft2D โ 2D transform
- :bookmark: Dft3D โ 3D transform
- :bookmark: DftND โ N-D transform
- :bookmark: RealToRealTransforms
- :bookmark: Double-precision DFT
- :bookmark: HilbertTransform class
- :bookmark: EnvelopeComputer class
- :bookmark: SignalExtension class
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:ledger: Examples
- :bookmark: Directory structure conventions
- :bookmark: Audio_example โ NAudio audio pipeline
- :bookmark: Core_example โ core and ComputingContext
- :bookmark: MachineLearning_example โ tabular learning
- :bookmark: Colorization_example โ image colorization
- :bookmark: Models and scenarios
- :bookmark: Command-line usage
- :bookmark: Relationship to the deep learning module