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A unified framework for machine learning with time series
Mathematical Optimization in Julia. Local, global, gradient-based and derivative-free. Linear, Quadratic, Convex, Mixed-Integer, and Nonlinear Optimization in one simple, fast, and differentiable i…
High-performance metaheuristics for optimization coded purely in Julia.