markhl's Stars
nomic-ai/gpt4all
GPT4All: Run Local LLMs on Any Device. Open-source and available for commercial use.
huggingface/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
meta-llama/llama
Inference code for Llama models
tatsu-lab/stanford_alpaca
Code and documentation to train Stanford's Alpaca models, and generate the data.
homeferences/list
List of Homeferences
algorithmiaio/sample-apps
Sample apps and sites with Algorithmia integration
amazon-archives/aws-lambda-zombie-workshop
Code and walkthrough labs to set up a serverless chat application for the Zombie Apocalypse Workshop
aws-samples/aws-media-services-simple-vod-workflow
Lab that covers video conversion workflow for Video On Demand using AWS MediaConvert.
blubilly/Analytics-lab
Lab for data analytics on AWS
mgrube49/Rekognition-Example
AWS Rekognition example for Big Data/AI SIG Cloud Lab
dylan-tong-aws/aws-advanced-analytics-jumpstarter
Collection of labs designed to enable users to perform advanced analytics on AWS
aws-samples/aws-serverless-workshops
Code and walkthrough labs to set up serverless applications for Wild Rydes workshops
TalkAI/DeepLearning-Meetup
Presentations and code reviewed at DeepLearning with MXNet meetups in 2018
awslabs/aws-well-architected-labs
Hands on labs and code to help you learn, measure, and build using architectural best practices.
piyushghai/mxnet-gluon-gan
Highly scalable Apache MXNet based implementation of various Generative Adversarial Networks.
awsdocs/aws-transit-gateway-guide
The open source version of the AWS Transit Gateway Guide. To submit feedback or requests for changes, submit an issue or make changes and submit a pull request.
awsdocs/amazon-vpc-network-administrator-guide
The open source version of the Amazon VPC network administrator docs. You can submit feedback and requests for changes by submitting issues in this repo or by making proposed changes and submitting a pull request.
awsdocs/amazon-vpc-peering-guide
The open source version of the Amazon VPC peering docs. You can submit feedback and requests for changes by submitting issues in this repo or by making proposed changes and submitting a pull request.
awsdocs/amazon-vpc-user-guide
The open source version of the Amazon VPC docs. You can submit feedback and requests for changes by submitting issues in this repo or by making proposed changes and submitting a pull request.
aws-solutions-library-samples/guidance-for-training-an-aws-deepracer-model-using-amazon-sagemaker
DeepRacer workshop content. This Guidance demonstrates how software developers can use an Amazon SageMaker Notebook instance to directly train and evaluate AWS DeepRacer models with full control
aws-samples/amazon-sagemaker-keras-text-classification
A step-by-step guide that shows how to do text classification by run training/inference for a custom model in Amazon SageMaker
lmorri/SagemakerKerasWorkshop
A step-by-step guide that shows how to do text classification by run training/inference for a custom model in Amazon SageMaker
nmwalsh/sagemaker-rec-demo
Recommendation engine example notebook using Amazon SageMaker and Factorization Machines
openimages/dataset
The Open Images dataset
wrbaldwin/da-week
Data Analytics Week at the AWS Loft
awslabs/amazon-sagemaker-workshop
Amazon SageMaker workshops: Introduction, TensorFlow in SageMaker, and more
aws/amazon-sagemaker-examples
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
aws/sagemaker-spark
A Spark library for Amazon SageMaker.
aws/sagemaker-python-sdk
A library for training and deploying machine learning models on Amazon SageMaker
datasciencescoop/Data-Science--Cheat-Sheet
Cheat Sheets