整理 pytorch 单机多 GPU 训练方法与原理

ALBERT model Pretraining and Fine Tuning using TF2.0

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

A multi GPU audio to face animation AI model trainer for your iPhone ARKit data.

Tensorflow2 training code with jit compiling on multi-GPU.

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

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

Deep learning using TensorFlow low-level APIs

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

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

使用TensorFlow训练自己的图片，基于多GPU

PyTorch/Lightning implementation of https://github.com/kang205/SASRec

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.

Code for various probabilistic deep learning models

Transfer Learning applied to Image Classification (VGG16 - Distributed Training on Multi-GPUs)

Example of Distributed pyTorch

performance test of MNIST hand writings usign MXNet + TF

A reinforcement learning training application for CodinGame's "Mad Pod Racing" challenge using PyTorch and Proximal Policy Optimization (PPO). This project trains neural network agents to compete in pod racing through deep reinforcement learning.