huy75's Stars
fastai/fastbook
The fastai book, published as Jupyter Notebooks
aws/amazon-sagemaker-examples
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
awsdocs/aws-doc-sdk-examples
Welcome to the AWS Code Examples Repository. This repo contains code examples used in the AWS documentation, AWS SDK Developer Guides, and more. For more information, see the Readme.md file below.
getmoto/moto
A library that allows you to easily mock out tests based on AWS infrastructure.
nlp-with-transformers/notebooks
Jupyter notebooks for the Natural Language Processing with Transformers book
data-science-on-aws/data-science-on-aws
AI and Machine Learning with Kubeflow, Amazon EKS, and SageMaker
keithrozario/Klayers
Python Packages as AWS Lambda Layers
GoogleCloudPlatform/asl-ml-immersion
This repos contains notebooks for the Advanced Solutions Lab: ML Immersion
aws-samples/aws-glue-samples
AWS Glue code samples
Denis2054/Transformers-for-NLP-2nd-Edition
Transformer models from BERT to GPT-4, environments from Hugging Face to OpenAI. Fine-tuning, training, and prompt engineering examples. A bonus section with ChatGPT, GPT-3.5-turbo, GPT-4, and DALL-E including jump starting GPT-4, speech-to-text, text-to-speech, text to image generation with DALL-E, Google Cloud AI,HuggingGPT, and more
tmabraham/awesome-fastai
A curated list of awesome fastai projects/blog posts/tutorials/etc.
awsrun/aws-serverless
AWS Lambda & Serverless - Developer Guide with Hands-on Labs. Develop thousands line of aws lambda functions interact to aws serverless services with real-world hands-on labs
victorcouste/data-tools
Data Tools Subjective List
LazaUK/DeepLearningAI-ChatGPT-PromptEngineering
Practical Jupyter notebooks from Andrew Ng and Isa Fulford's "ChatGPT Prompt Engineering for Developers" course on DeepLearning.AI.
anshulc55/terraform
Terraform code files and resources
gal-a/blog
Files for my blog
zaireali649/boto3_python_scripts
LazaUK/DeepLearningAI-LangChain-AppDevelopment
Practical Jupyter notebooks from Andrew Ng and Harrison Chase's "LangChain for LLM Application Development" course on DeepLearning.AI.