Popular GitHub Repositories for Tpu

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.

Everything we actually know about the Apple Neural Engine (ANE)

GPT2 for Multiple Languages, including pretrained models. GPT2 多语言支持, 15亿参数中文预训练模型

Large-scale LLM inference engine

Everything you want to know about Google Cloud TPU

Neural network-based chess engine capable of natural language commentary

JetStream is a throughput and memory optimized engine for LLM inference on XLA devices, starting with TPUs (and GPUs in future -- PRs welcome).

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.

DECIMER Image Transformer is a deep-learning-based tool designed for automated recognition of chemical structure images. Leveraging transformer architectures, the model converts chemical images into SMILES strings, enabling the digitization of chemical data from scanned documents, literature, and patents.

Small-scale Tensor Processing Unit built on an FPGA

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

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

? Training StyleGAN2 on TPUs in JAX

EfficientNet, MobileNetV3, MobileNetV2, MixNet, etc in JAX w/ Flax Linen and Objax

TF2 implementation of knowledge distillation using the "function matching" hypothesis from https://arxiv.org/abs/2106.05237.

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

PyTorch/XLA integration with JetStream (https://github.com/google/JetStream) for LLM inference"

Tutorial to pretrain & fine-tune a ? Flax T5 model on a TPUv3-8 with GCP

? The Sebulba architecture to scale reinforcement learning on Cloud TPUs in JAX