Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.
-
Updated
Jun 2, 2023 - Python
Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.
Fast and flexible AutoML with learning guarantees.
SkyPilot: Run LLMs, AI, and Batch jobs on any cloud. Get maximum savings, highest GPU availability, and managed execution—all with a simple interface.
GPT2 for Multiple Languages, including pretrained models. GPT2 多语言支持, 15亿参数中文预训练模型
Everything we actually know about the Apple Neural Engine (ANE)
<케라스 창시자에게 배우는 딥러닝 2판> 도서의 코드 저장소
Implementation of a Tensor Processing Unit for embedded systems and the IoT.
Testing framework for Deep Learning models (Tensorflow and PyTorch) on Google Cloud hardware accelerators (TPU and GPU)
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.
Differentiable Fluid Dynamics Package
DECIMER: Deep Learning for Chemical Image Recognition using Efficient-Net V2 + Transformer
A FPGA Based CNN accelerator, following Google's TPU V1.
Unofficial implementation of Octave Convolutions (OctConv) in TensorFlow / Keras.
Everything you want to know about Google Cloud TPU
Repository for Google Summer of Code 2019 https://summerofcode.withgoogle.com/projects/#4662790671826944
Edge TPU Accelerator / Multi-TPU + MobileNet-SSD v2 + Python + Async + LattePandaAlpha/RaspberryPi3/LaptopPC
Template for project1 TPU
TPU ile Yapay Sinir Ağlarınızı Çok Daha Hızlı Eğitin
Add a description, image, and links to the tpu topic page so that developers can more easily learn about it.
To associate your repository with the tpu topic, visit your repo's landing page and select "manage topics."