xla
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JAX - A curated list of resources https://github.com/google/jax
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Feb 4, 2023
The purpose of this repo is to make it easy to get started with JAX, Flax, and Haiku. It contains my "Machine Learning with JAX" series of tutorials (YouTube videos and Jupyter Notebooks) as well as the content I found useful while learning about the JAX ecosystem.
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Jul 11, 2022 - Jupyter Notebook
Zero-copy MPI communication of JAX arrays, for turbo-charged HPC applications in Python
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Feb 9, 2023 - Python
Julia on TPUs
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Dec 18, 2020 - Julia
ALBERT model Pretraining and Fine Tuning using TF2.0
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Nov 21, 2022 - Python
TensorFlow wheels built for latest CUDA/CuDNN and enabled performance flags: SSE, AVX, FMA; XLA
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Feb 12, 2020
Simple and efficient RevNet-Library for PyTorch with XLA and DeepSpeed support and parameter offload
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Aug 6, 2022 - Python
基于tensorflow1.x的预训练模型调用,支持单机多卡、梯度累积,XLA加速,混合精度。可灵活训练、验证、预测。
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Aug 16, 2021 - Python
S + Autograd + XLA :: S-parameter based frequency domain circuit simulations and optimizations using JAX.
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Jan 7, 2023 - Jupyter Notebook
Tensorflow2 training code with jit compiling on multi-GPU.
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Jan 28, 2021 - Python
XLA integration of Open Neural Network Exchange (ONNX)
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Aug 17, 2018 - C++
Official scala pool repository
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Jan 22, 2023 - JavaScript
Automated provisioner of a Google Cloud TPU environment for training in PyTorch
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Aug 11, 2020 - HCL
Versatile Data Ingestion Pipelines for Jax
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Jan 21, 2023 - Python
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