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#

tpu

Here are 245 public repositories matching this topic...

A high-throughput and memory-efficient inference and serving engine for LLMs

  • UpdatedFeb 20, 2026
  • Python

Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.

  • UpdatedJun 2, 2023
  • Python

Run, manage, and scale AI workloads on any AI infrastructure. Use one system to access & manage all AI compute (Kubernetes, 20+ clouds, or on-prem).

  • UpdatedFeb 20, 2026
  • Python

Fast and flexible AutoML with learning guarantees.

  • UpdatedNov 30, 2023
  • Jupyter Notebook

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

  • UpdatedOct 21, 2025

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

  • UpdatedMay 22, 2023
  • Python

Machine learning compiler based on MLIR for Sophgo TPU.

  • UpdatedFeb 12, 2026
  • C++

Elegant and Performant Deep Learning

  • UpdatedFeb 16, 2026
  • Julia

Everything you want to know about Google Cloud TPU

  • UpdatedJul 16, 2024
  • Python
JAXFLUIDS

Neural network-based chess engine capable of natural language commentary

  • UpdatedNov 15, 2022
  • C++

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

  • UpdatedJan 5, 2026
  • Python

Dual Edge TPU Adapter to use it on a system with single PCIe port on m.2 A/B/E/M slot

  • UpdatedSep 2, 2025
DECIMER-Image_Transformer

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.

  • UpdatedDec 2, 2025
  • Python

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.

  • UpdatedMay 6, 2023
  • Shell

Small-scale Tensor Processing Unit built on an FPGA

  • UpdatedAug 4, 2019
  • Verilog

torchax is a PyTorch frontend for JAX. It gives JAX the ability to author JAX programs using familiar PyTorch syntax. It also provides JAX-Pytorch interoperability, meaning, one can mix JAX & Pytorch syntax together when authoring ML programs, and run it in every hardware JAX can run.

  • UpdatedFeb 20, 2026
  • Python

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