Shishuai Wang's repositories
alpaca-on-amazon-sagemaker
This is a sample about how to run stanford_alpaca on Amazon SageMaker, only for demo use.
amazon-sagemaker-architecting-for-ml
Materials for a 3-day instructor led course on applying machine learning
accelerate
🚀 A simple way to train and use PyTorch models with multi-GPU, TPU, mixed-precision
amazon-sagemaker-examples
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
animegan2-pytorch
PyTorch implementation of AnimeGANv2
awesome-chatgpt-prompts
This repo includes ChatGPT prompt curation to use ChatGPT better.
awesome-chatgpt-prompts-zh
ChatGPT 中文调教指南。各种场景使用指南。学习怎么让它听你的话。
dlwpt-code
Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.
multi-model-server
Multi Model Server is a tool for serving neural net models for inference
sagemaker-custom-serving-containers
Custom serving containers for Amazon SageMaker
sagemaker-custom-training-containers
Implementations of Amazon SageMaker-compatible custom containers for training.
sagemaker-cv-preprocessing-training-performance
SageMaker training implementation for computer vision to offload JPEG decoding and augmentations on GPUs using NVIDIA DALI — allowing you to compare and reduce training time by addressing CPU bottlenecks caused by increasing data pre-processing load. Performance bottlenecks identified with SageMaker Debugger.
sagemaker-in-box
Simple samples for reference.
SageMaker-Inf1-Endpoints
SageMaker-Inf1-Endpoints
sagemaker-model-deployment-samples
In this repo, we will show three ways of model deployment in Amazon SageMaker.
transformers
🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.
youtube-dl
A copyright-respecting fork of youtube-dl