Apache TVM, a deep learning compiler that enables access to high-performance machine learning anywhere for everyone. TVM’s diverse community of hardware vendors, compiler engineers and ML researchers work together to build a unified, programmable software stack, that enriches the entire ML technology ecosystem and make it accessible to the wider ML community. TVM empowers users to leverage community-driven ML-based optimizations to push the limits and amplify the reach of their research and development, which in turn raises the collective performance of all ML, while driving its costs down.

TVM - Open deep learning compiler stack for cpu, gpu and specialized accelerators

AdaNet is a lightweight TensorFlow-based framework for automatically learning high-quality models with minimal expert intervention. AdaNet builds on recent AutoML efforts to be fast and flexible while providing learning guarantees. Importantly, AdaNet provides a general framework for not only learning a neural network architecture, but also for learning to ensemble to obtain even better models.

AdaNet - Fast and flexible AutoML with learning guarantees

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TVM - Open deep learning compiler stack for cpu, gpu and specialized accelerators

AdaNet - Fast and flexible AutoML with learning guarantees

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TVM - Open deep learning compiler stack for cpu, gpu and specialized accelerators

AdaNet - Fast and flexible AutoML with learning guarantees

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