Representation and Reference Lowering of ONNX Models in MLIR Compiler Infrastructure

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

Computation using data flow graphs for scalable machine learning

pocl - Portable Computing Language

PyTorch extensions for high performance and large scale training.

The LLVM Project is a collection of modular and reusable compiler and toolchain technologies. Note: the repository does not accept github pull requests at this moment. Please submit your patches at…

Tensors and Dynamic neural networks in Python with strong GPU acceleration

TorchBench is a collection of open source benchmarks used to evaluate PyTorch performance.

The Torch-MLIR project aims to provide first class support from the PyTorch ecosystem to the MLIR ecosystem.

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

Enabling PyTorch on Google TPU

GPU-scheduler-for-deep-learning

The sample code of running TensorFlow in Kubernetes

Open Neural Network Exchange

A list of popular github projects related to deep learning

machine learning and deep learning tutorials, articles and other resources