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amazon-sagemaker-examples

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

benchmark

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

chips-compilers-mlsys-21.github.io

fairscale

PyTorch extensions for high performance and large scale training.

gpu-scheduler-for-deep-learning

GPU-scheduler-for-deep-learning

iree

👻

jax

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

llvm-project

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 http://reviews.llvm.org.

machine-learning-tutorials

machine learning and deep learning tutorials, articles and other resources

onnx

Open Neural Network Exchange

onnx-mlir

Representation and Reference Lowering of ONNX Models in MLIR Compiler Infrastructure

pocl

pocl - Portable Computing Language

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

tensorflow

Computation using data flow graphs for scalable machine learning

tensorflow-sample-code

The sample code of running TensorFlow in Kubernetes

topdeeplearning

A list of popular github projects related to deep learning

torch-mlir

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

tvm

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

xla

Enabling PyTorch on Google TPU