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#

multi-gpu-training

Here are 28 public repositories matching this topic...

整理 pytorch 单机多 GPU 训练方法与原理

  • UpdatedNov 23, 2021
  • Python

Efficient and Scalable Physics-Informed Deep Learning and Scientific Machine Learning on top of Tensorflow for multi-worker distributed computing

  • UpdatedMar 1, 2022
  • Python

Distributed Reinforcement Learning for LLM Fine-Tuning with multi-GPU utilization

  • UpdatedMar 12, 2025
  • Python

jupyter notebooks to fine tune whisper models on Vietnamese using Colab and/or Kaggle and/or AWS EC2

  • UpdatedAug 15, 2025
  • Jupyter Notebook

Tensorflow2 training code with jit compiling on multi-GPU.

  • UpdatedJan 28, 2021
  • Python

Deep learning using TensorFlow low-level APIs

  • UpdatedJul 13, 2020
  • Python

A lightweight Python template for deep learning project or research with PyTorch.

  • UpdatedJan 5, 2025
  • Python

A pytorch project template for intensive AI research. Separate datamodule and models and thus support for multiple data-loaders and multiple models in same project

  • UpdatedOct 31, 2022
  • Python

In depth tutorial for conducting distributed training at NSM Clusters for custom workloads

  • UpdatedSep 25, 2025
  • Jupyter Notebook

使用TensorFlow训练自己的图片,基于多GPU

  • UpdatedJul 7, 2019
  • Python

Production-ready multi-GPU distributed training framework with DDP/FSDP, gradient compression, and 89% scaling efficiency at 16 GPUs. Includes TensorBoard monitoring, auto-checkpointing, and Kubernetes deployment.

  • UpdatedSep 21, 2025
  • Python

PyTorch/Lightning implementation ofhttps://github.com/kang205/SASRec

  • UpdatedFeb 3, 2022
  • Jupyter Notebook

SHUKUN Technology Co.,Ltd Algorithm intern (2020/12-2021/5). Multi-GPU, Multi-node training for deep learning models. Horovod, NVIDIA clara train sdk, configuration tutorial,performance testing.

  • UpdatedSep 18, 2022
  • HTML

"This repository is a proof-of-concept demonstrating how to deploy and manage VLLM for fast LLM inference across a supercluster. It showcases distributed system architecture for high-performance computing (HPC)."

  • UpdatedDec 6, 2025
  • C++

Production-scale video style transfer (AdaIN + RAFT Optical Flow) achieving 6.45 FPS and trained via DDP on 118K images.

  • UpdatedNov 22, 2025
  • Python

Code for various probabilistic deep learning models

  • UpdatedJun 28, 2023
  • Jupyter Notebook

End-to-End Neural Diarization with python

  • UpdatedNov 24, 2025
  • Python

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