robertsdionne/bouncingball
Visualizes gradient descent techniques on functions of two variables f(x, y): Stochastic Gradient Descent, Momentum, Nesterov's Accelerated Gradient, AdaGrad, AdaDelta and Bouncing Ball Simulated Annealing.
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Discovered Oct 7, 2026
robertsdionne / sacred
Convolutional recurrent stacked denoising autoencoder library.
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