Showing 1-9 of 9 projects
This is a stock prediction AI project that uses a GAN with LSTM and CNN to forecast stock price movements.
Easy-to-use F#-like discriminated unions for C# with exhaustive compile-time matching
Python library for optimal transport and related problems, useful for machine learning tasks.
A comprehensive set of fairness metrics and algorithms to detect and mitigate bias in AI/ML models and datasets.
ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators for deep learning and NLP tasks
A simple, fluent discriminated union of an error or a result in C#.
StyleGAN2 implementation with adaptive discriminator augmentation (ADA) for training high-quality generative models.
A PyTorch library for joint discriminative and generative learning for person re-identification.
An open-source PyTorch library for training Generative Adversarial Networks (GANs) with spectral normalization and projection discriminators.
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