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AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.
A curated list of awesome research papers, projects, code, dataset, workshops etc. related to virtual try-on.
MASS: Masked Sequence to Sequence Pre-training for Language Generation
Natural Language Processing Best Practices & Examples
Tensors and Dynamic neural networks in Python with strong GPU acceleration
A toolkit for developing and comparing reinforcement learning algorithms.
Kepler.gl is a powerful open source geospatial analysis tool for large-scale data sets.
Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
Computer generated building footprints for the United States