”tpu“ 的搜索结果

Reference models and tools for Cloud TPUs.

翻译 - Cloud TPU的参考模型和工具。

Machine learning compiler based on MLIR for Sophgo TPU.

#计算机科学#Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.

翻译 - 深度学习模型和数据集的库，旨在使深度学习更易于访问并加速ML研究。

Python+NumPy 程序的可组合转换：自动微分、向量化、JIT即时编译、GPU/TPU 等

#计算机科学#Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.

翻译 - 轻巧的ML研究人员专用的PyTorch包装器。缩放模型。写更少样板

#计算机科学#Enabling PyTorch on XLA Devices (e.g. Google TPU)

翻译 - 在Google TPU上启用PyTorch

An implementation of training for GPT2, supports TPUs

翻译 - GPT2培训的实施，支持TPU

A open source reimplementation of Google's Tensor Processing Unit (TPU).

Implementation of a Tensor Processing Unit for embedded systems and the IoT.

Free TPU for FPGA with compiler supporting Pytorch/Caffe/Darknet/NCNN. An AI processor for using Xilinx FPGA to solve image classification, detection, and segmentation problem.

Edge TPU Accelerator / Multi-TPU + MobileNet-SSD v2 + Python + Async + LattePandaAlpha/RaspberryPi3/LaptopPC

TPU, The Test Processing Unit. Or Terrible Processing Unit. A simple 16-bit CPU in VHDL for education as to the dataflow within a CPU. Designed to run on miniSpartan6+.

Edge TPU Accelerator / Multi-TPU / Multi-Model + Posenet/DeeplabV3/MobileNet-SSD + Python + Sync / Async + LaptopPC / RaspberryPi

Coral issue tracker (and legacy Edge TPU API source)

ISAR Layer for Coral TPU

IC implementation of Systolic Array for TPU

JAX implementation of OpenAI's Whisper model for up to 70x speed-up on TPU.

A FPGA Based CNN accelerator, following Google's TPU V1.

Enabling tinygrad compatibility with the Google Edge TPU

翻译 - 启用与 Google Edge TPU 的 tinygrad 兼容性

Refactoring dalle-pytorch and taming-transformers for TPU VM

🚀 A simple way to launch, train, and use PyTorch models on almost any device and distributed configuration, automatic mixed precision (including fp8), and easy-to-configure FSDP and DeepSpeed support

翻译 - 通过多GPU，TPU，混合精度训练和使用PyTorch模型的简单方法

Run Tiny YOLO-v3 on Google's Edge TPU USB Accelerator.

Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.

FREE TPU V3plus for FPGA is the free version of a commercial AI processor (EEP-TPU) for Deep Learning EDGE Inference