There are 6 repositories under tpu topic.
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.
GPT2 for Multiple Languages, including pretrained models. GPT2 多语言支持, 15亿参数中文预训练模型
SkyPilot is a framework for easily running machine learning workloads on any cloud through a unified interface.
Everything we actually know about the Apple Neural Engine (ANE)
Everything you want to know about Google Cloud TPU
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.
Dual Edge TPU Adapter to use it on a system with single PCIe port on m.2 A/B/E/M slot
🖼 Training StyleGAN2 on TPUs in JAX
TPU ile Yapay Sinir Ağlarınızı Çok Daha Hızlı Eğitin
Simple and efficient RevNet-Library for PyTorch with XLA and DeepSpeed support and parameter offload
EfficientNet, MobileNetV3, MobileNetV2, MixNet, etc in JAX w/ Flax Linen and Objax
Unofficial implementation of Octave Convolutions (OctConv) in TensorFlow / Keras.
Edge TPU Accelerator / Multi-TPU + MobileNet-SSD v2 + Python + Async + LattePandaAlpha/RaspberryPi3/LaptopPC
EvoPose2D is a two-stage human pose estimation model that was designed using neuroevolution. It achieves state-of-the-art accuracy on COCO.
DECIMER 2.0: Deep Learning for Chemical Image Recognition using Efficient-Net V2 + Transformer
TF2 implementation of knowledge distillation using the "function matching" hypothesis from https://arxiv.org/abs/2106.05237.
Repository for Google Summer of Code 2019 https://summerofcode.withgoogle.com/projects/#4662790671826944
Small-scale Tensor Processing Unit built on an FPGA
Testing framework for Deep Learning models (Tensorflow and PyTorch) on Google Cloud hardware accelerators (TPU and GPU)
Tutorial to pretrain & fine-tune a 🤗 Flax T5 model on a TPUv3-8 with GCP
Edge TPU Accelerator / Multi-TPU / Multi-Model + Posenet/DeeplabV3/MobileNet-SSD + Python + Sync / Async + LaptopPC / RaspberryPi
Train DCGAN with TPUs on Google Cloud
Managed Machine Learning Systems and Internet of Things Live Lesson
TF2 implementation of PointNet for segmenting point clouds
HomebrewNLP in JAX flavour for maintable TPU-Training
Automatic GPU, TPU, FPGA, Xeon Phi, Multithreaded, Distributed, etc. offloading for scientific machine learning (SciML) and differential equations
Website for Eclipse ioFog, a distributed Edge Compute Network (ECN) platform
BERT Model Fine-tuning on Quora Questions Pairs
Boost hardware utilization for ML training workloads via Inter-model Horizontal Fusion