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Helps find, analyze or synthesize information for research and knowledge discovery.
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Optimization library focused on machine learning, pythonic implementations of gradient descent, LBFGS, rmsprop, adadelta and others.
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An optimization library for Torch. SGD, Adagrad, Conjugate-Gradient, LBFGS, RProp and more.
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Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library.
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Automatic "Differentiation" via Text, using large language models to backpropagate textual gradients.