Machine learning Guide. Learn all about Machine Learning Tools, Libraries, Frameworks, Large Language Models (LLMs), and Training Models.
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Updated
Jan 4, 2024 - Python
Machine learning Guide. Learn all about Machine Learning Tools, Libraries, Frameworks, Large Language Models (LLMs), and Training Models.
BentoML Example Projects 🎨
Amazon SageMaker Solution for explaining credit decisions.
Using Deep Learning for Demand Forecasting with Amazon SageMaker
Streamlit EDA Dashboard Powered by AWS Cloud
ACK service controller for Amazon SageMaker
Code for the Generative AI workshop
Demonstration of LLM integration into a lex bot using Lambda codehooks and a Sagemaker endpoint.
This code is used for making MindsDB run on Amazon SageMaker.
CMPE 266 Big Data Engineering & Analytics Project
Run remote machine learning model training jobs right from the command line.
Distributed Deep Reinforcement Learning in an HPC system and deployment to the Cloud
Amazon Sagemaker, AWS SES, Route 53 and CloudFormation
It contains the reward function and model generated that used in battle-of-schools March 2020 at RIT
Toolkit for easy deployment of machine learning models on AWS SageMaker
Playing Flappy Bird based on Deep Q Network (DQN) and Dueling DQN
The project deals with solving the global pandemic using Cloud-based services. The facility will be provided to the patient at the comfort of their home. The idea is to provide appointment booking, DNA sample collection, and a report delivery mechanism to the end-user.
Using supervised learning on Lending Club loan data to predict default and / or bad loans
IIAS is a simple serverless application supported via AWS SAM to manage EC2 and SageMaker instances. IIAS scans and applies configurations for stop idle instances
Add a description, image, and links to the aws-sagemaker topic page so that developers can more easily learn about it.
To associate your repository with the aws-sagemaker topic, visit your repo's landing page and select "manage topics."