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Apache TVM is a compiler stack for deep learning systems. It is designed to close the gap between the productivity-focused deep learning frameworks, and the performance- and efficiency-focused hardware backends. TVM works with deep learning frameworks to provide end to end compilation to different backends.
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🕹 Automated hmmer, automatically completing hmmbuild, hmmsearch, and extracting IDs and protein sequences.更新于 -
Apache Flink is an open source stream processing framework with powerful stream- and batch-processing capabilities.
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Superset is a modern data exploration and data visualization platform. Superset can replace or augment proprietary business intelligence tools for many teams. Superset integrates well with a variety of data sources.
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