Topic: "aws-sagemaker"
mikeroyal/Machine-Learning-Guide
Machine learning Guide. Learn all about Machine Learning Tools, Libraries, Frameworks, Large Language Models (LLMs), and Training Models.
Language: Python - Size: 1.05 MB - Last synced at: 19 days ago - Pushed at: over 1 year ago - Stars: 611 - Forks: 51
explainX/explainx
Explainable AI framework for data scientists. Explain & debug any blackbox machine learning model with a single line of code. We are looking for co-authors to take this project forward. Reach out @ [email protected]
Language: Jupyter Notebook - Size: 61.3 MB - Last synced at: 11 days ago - Pushed at: 8 months ago - Stars: 430 - Forks: 56
Pythondeveloper6/Awesome-MLOPS
All the available resources to master MLOPS from scratch
Size: 60.5 KB - Last synced at: 8 days ago - Pushed at: 12 months ago - Stars: 299 - Forks: 42
awslabs/fraud-detection-using-machine-learning
Setup end to end demo architecture for predicting fraud events with Machine Learning using Amazon SageMaker
Language: Jupyter Notebook - Size: 199 KB - Last synced at: 12 months ago - Pushed at: almost 4 years ago - Stars: 259 - Forks: 146
RubensZimbres/Repo-2018
Deep Learning Summer School + Tensorflow + OpenCV cascade training + YOLO + COCO + CycleGAN + AWS EC2 Setup + AWS IoT Project + AWS SageMaker + AWS API Gateway + Raspberry Pi3 Ubuntu Core
Language: Jupyter Notebook - Size: 116 MB - Last synced at: 24 days ago - Pushed at: over 3 years ago - Stars: 173 - Forks: 80
bentoml/gallery
BentoML Example Projects 🎨
Size: 123 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 135 - Forks: 50
aws-samples/mlops-e2e
MLOps End-to-End Example using Amazon SageMaker Pipeline, AWS CodePipeline and AWS CDK
Language: TypeScript - Size: 5.09 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 126 - Forks: 82
awslabs/sagemaker-explaining-credit-decisions
Amazon SageMaker Solution for explaining credit decisions.
Language: Python - Size: 2.77 MB - Last synced at: 5 days ago - Pushed at: almost 2 years ago - Stars: 96 - Forks: 28
awslabs/sagemaker-deep-demand-forecast
Using Deep Learning for Demand Forecasting with Amazon SageMaker
Language: Python - Size: 14.4 MB - Last synced at: 5 days ago - Pushed at: over 2 years ago - Stars: 85 - Forks: 27
aws-samples/streamlit-application-deployment-on-aws
Streamlit EDA Dashboard Powered by AWS Cloud
Language: Python - Size: 4 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 71 - Forks: 28
awslabs/aws-fleet-predictive-maintenance
Predictive Maintenance for Vehicle Fleets
Language: Jupyter Notebook - Size: 898 KB - Last synced at: 5 days ago - Pushed at: over 2 years ago - Stars: 67 - Forks: 32
aws-controllers-k8s/sagemaker-controller
ACK service controller for Amazon SageMaker
Language: Python - Size: 3.01 MB - Last synced at: 19 days ago - Pushed at: 26 days ago - Stars: 43 - Forks: 36
honghanhh/coursera-practical-data-science-specialization
Solutions on Practical Data Science Specialization on Coursera (offered by deeplearning.ai)
Language: Jupyter Notebook - Size: 29.7 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 37 - Forks: 33
AWS-Big-Data-Projects/aws-forest-fire-predictive-analytics
Big Data Engineering & Analytics Project
Language: Python - Size: 10.9 MB - Last synced at: 7 days ago - Pushed at: over 4 years ago - Stars: 31 - Forks: 7
awslabs/sagemaker-corporate-credit-rating
Corporate Credit Rating Prediction with AWS SageMaker JumpStart
Language: Jupyter Notebook - Size: 317 KB - Last synced at: 5 days ago - Pushed at: over 1 year ago - Stars: 21 - Forks: 6
vinayak-shanawad/AI-ML-Projects
AWS SageMaker, SeldonCore, KServe, Kubeflow & MLflow, VectorDB
Language: Jupyter Notebook - Size: 87.9 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 19 - Forks: 9
pm3310/hotel-recommender-system
A hotel recommender system using SageMaker
Language: Jupyter Notebook - Size: 31.3 KB - Last synced at: about 2 years ago - Pushed at: almost 5 years ago - Stars: 17 - Forks: 1
build-on-aws/building-gen-ai-apps-with-found-models-workshop
Code for the Generative AI workshop
Language: Python - Size: 978 KB - Last synced at: 13 days ago - Pushed at: about 1 year ago - Stars: 16 - Forks: 4
AditModi/AWS-Business-Analysis-and-Prediction
Build machine learning-powered business intelligence analyses using Amazon QuickSight
Size: 25.4 KB - Last synced at: 12 months ago - Pushed at: over 4 years ago - Stars: 12 - Forks: 2
intel/openvino-demos
This repo contains information regarding cloud offerings of OpenVINOâ„¢ and demos to showcase OpenVINOâ„¢ via sample Jupyter notebooks.
Language: Jupyter Notebook - Size: 38 MB - Last synced at: 5 months ago - Pushed at: 9 months ago - Stars: 11 - Forks: 13
Andrewwango/open-set-resnet
Open set classification of car models. This 3-step classifier solves the problem where dogs are classified as cars, by first filtering these images out using ResNet CNNs transfer-trained on different datasets.
Language: Jupyter Notebook - Size: 3.07 MB - Last synced at: 13 days ago - Pushed at: about 2 years ago - Stars: 11 - Forks: 4
hjlopes/sagemaker-sentiment-analysis
Deep Learning Udacity Nanodegree - SageMaker Deployment of a Sentiment Analysis model
Language: HTML - Size: 182 KB - Last synced at: about 2 years ago - Pushed at: about 6 years ago - Stars: 11 - Forks: 8
luongtruong77/practical-data-science
This repo contains materials from the Deeplearning.AI's Practical Data Science Specialization offered by Coursera.
Language: Jupyter Notebook - Size: 11.6 MB - Last synced at: almost 2 years ago - Pushed at: almost 4 years ago - Stars: 10 - Forks: 11
akkik04/PulmoLens
Leveraging AWS SageMaker and associated tools (e.g. Lambda, API-Gateway, S3, IAM, CloudWatch) with ML fundamentals to implement a deep learning model for pneumonia detection through X-ray images. Extensively tested using Postman-API to confirm system's efficacy!
Language: Jupyter Notebook - Size: 1.17 GB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 9 - Forks: 0
AIVenture0/PubG-Win-prediction-using-ML
PUBG- PlayerUnknown's BattleGrounds (PUBG)
Language: Jupyter Notebook - Size: 1.81 MB - Last synced at: about 2 years ago - Pushed at: over 5 years ago - Stars: 9 - Forks: 3
xbwei/data-analysis-aws
Introducing basic usage of AWS
Language: Jupyter Notebook - Size: 477 KB - Last synced at: over 1 year ago - Pushed at: almost 2 years ago - Stars: 8 - Forks: 18
hectorLop/Waste-Detector
This repostory contains a deep learning-based system to detect and classify waste according to which container it should be thrown into.
Language: Jupyter Notebook - Size: 43 MB - Last synced at: about 1 year ago - Pushed at: over 2 years ago - Stars: 8 - Forks: 3
mindsdb/mindsdb-sagemaker-container 📦
This code is used for making MindsDB run on Amazon SageMaker.
Language: Python - Size: 85 KB - Last synced at: 8 days ago - Pushed at: almost 5 years ago - Stars: 7 - Forks: 0
aws-samples/asset-prediction-sagemaker-pipelines-example
Asset Prediction Sagemaker Pipelines Example
Language: TypeScript - Size: 6.82 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 6 - Forks: 2
Kenza-AI/kenza
Open-Source Machine Learning Platform
Language: Go - Size: 5.62 MB - Last synced at: 12 days ago - Pushed at: over 2 years ago - Stars: 6 - Forks: 3
jesussantana/AWS-Machine-Learning-Foundations
AWS Machine Learning Engineer Scholarship Program
Language: HTML - Size: 27.4 MB - Last synced at: 17 days ago - Pushed at: over 3 years ago - Stars: 6 - Forks: 1
RobinCPC/minibot_candy_pick_demo
Use NexCOBOT MiniBOT to pick candy with AWS SageMaker as inference engine
Language: Jupyter Notebook - Size: 4.39 MB - Last synced at: 21 days ago - Pushed at: 4 months ago - Stars: 5 - Forks: 2
aws-samples/amazon-sagemaker-gluonts-entrypoint
Sample GluonTS entrypoint scripts for Amazon SageMaker.
Language: Jupyter Notebook - Size: 1.89 MB - Last synced at: about 2 years ago - Pushed at: about 3 years ago - Stars: 5 - Forks: 7
mathewsrc/Operationalizing-an-AWS-ML-Project
This project SageMaker features to adjust, improve, configure, and prepare a image classification model for production-grade deployment.
Language: Jupyter Notebook - Size: 2.16 MB - Last synced at: 12 months ago - Pushed at: almost 2 years ago - Stars: 4 - Forks: 1
ChaitanyaC22/Udacity-AWS-MLE-ND-Project2-Build-a-ML-Workflow-For-Scones-Unlimited-On-Amazon-SageMaker
The primary objective of this project was to build and deploy an image classification model for Scones Unlimited, a scone-delivery-focused logistic company, using AWS SageMaker.
Language: HTML - Size: 1.07 MB - Last synced at: 28 days ago - Pushed at: about 2 years ago - Stars: 4 - Forks: 1
MLDA-NTU/AWS-Workshop-2020
AWS event workshop about machine learning in AWS Sagemaker
Language: Jupyter Notebook - Size: 20.4 MB - Last synced at: about 1 year ago - Pushed at: over 2 years ago - Stars: 4 - Forks: 3
vijpandaturtle/eeg-stress-companion
Building an application for stress detection and management using OpenBCI ganglion, PyTorch and AWS.
Language: Jupyter Notebook - Size: 16.8 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 4 - Forks: 3
datadrivers/effective-guide-mlops
Example end-to-end ml pipeline build with the Sagemaker Python SDK
Language: Jupyter Notebook - Size: 490 KB - Last synced at: 17 days ago - Pushed at: over 3 years ago - Stars: 4 - Forks: 2
mrtj/smx-validator
Orchestrate k-fold cross validated SageMaker training jobs on Amazon Web Services infrastructure
Language: Python - Size: 32.2 KB - Last synced at: 16 days ago - Pushed at: almost 4 years ago - Stars: 4 - Forks: 1
aaakashkumar/Plagiarism-Detection-Project
An end-to-end plagiarism classification model, deployed to SageMaker.
Language: Jupyter Notebook - Size: 755 KB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 4 - Forks: 2
ResidentMario/fahr
Run remote machine learning model training jobs right from the command line.
Language: Python - Size: 7.08 MB - Last synced at: 11 days ago - Pushed at: over 5 years ago - Stars: 4 - Forks: 0
k-chuang/aws-forest-fire-predictive-analytics
CMPE 266 Big Data Engineering & Analytics Project
Language: Python - Size: 8.29 MB - Last synced at: over 1 year ago - Pushed at: almost 6 years ago - Stars: 4 - Forks: 2
masoodkhanpatel/Sentiment-Analysis-Deployed
A sentiment analysis model that can be deployed on AWS SageMaker
Language: Jupyter Notebook - Size: 105 KB - Last synced at: about 2 years ago - Pushed at: about 6 years ago - Stars: 4 - Forks: 0
ccnets-team/agent-gpt
AgentGPT: Distributed RL training with AWS and remote environments.
Language: Python - Size: 1010 KB - Last synced at: 8 days ago - Pushed at: about 1 month ago - Stars: 3 - Forks: 1
JayPat2003/Brain-Tumor-Detection
Brain Tumor Detection using Deep Learning on AWS SageMaker: A project focused on building and training a deep learning model to detect brain tumors in MRI images. Leveraging AWS SageMaker and Ground Truth, we explore binary classification techniques for accurate diagnosis.
Language: Python - Size: 29.5 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 3 - Forks: 0
somanathkshirsagar/Practical_Data_Science_on_the_AWS-Cloud-Specialization
The Practical Data Science Specialization brings together these disciplines using purpose-built ML tools in the AWS cloud. It helps you develop the practical skills to effectively deploy your data science projects and overcome challenges at each step of the ML workflow using Amazon SageMaker. This Specialization is designed for data-focused develop
Language: Jupyter Notebook - Size: 11.5 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 3 - Forks: 0
machinelearnear/asr-restore-punctuation-summarization-biomedical-ehr
Language: Jupyter Notebook - Size: 34.2 KB - Last synced at: 12 months ago - Pushed at: almost 3 years ago - Stars: 3 - Forks: 2
mkredzel/crypto-market-cap
Cryptocurrency rate visualization tool
Language: JavaScript - Size: 209 KB - Last synced at: 5 months ago - Pushed at: about 4 years ago - Stars: 3 - Forks: 0
arnabd64/Fine-Tune-Instruct-Pix2Pix
A simple jupyter notebook that will help you fine tune your own Instruct Pix2Pix Stable Diffusion model.
Language: Jupyter Notebook - Size: 8.79 KB - Last synced at: 18 days ago - Pushed at: 5 months ago - Stars: 2 - Forks: 1
miraytopal/Medical-Image-Classification-AWS-SageMaker
Language: Jupyter Notebook - Size: 82 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 2 - Forks: 0
Mohamed-Galloul/Deep-Learning-Nanodegree-Projects
This a repo for the projects I completed during my Deep Learning Udacity Nanodegree.
Language: HTML - Size: 11.6 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 0
nicolaivicol/ml-pred-default-deploy-aws-sagemaker
Modelling and prediction of default + deployment via AWS Sagemaker
Language: HTML - Size: 10.3 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 0
akkik04/GreenGuardian
creating a greener globe with object detection models and batch transformation pipelines 🤖💚
Language: Jupyter Notebook - Size: 223 MB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 0
OmarKhalil10/Bike-Sharing-Demand
predict bike sharing demand using the AWS AutoGloun Framework
Language: Jupyter Notebook - Size: 4.81 MB - Last synced at: about 1 year ago - Pushed at: almost 2 years ago - Stars: 2 - Forks: 0
IntelAI/aws-sagemaker-marketplace 📦
This repo contain example notebooks with instructions on using Intel AI Software listed in AWS SageMaker Marketplace.
Language: Jupyter Notebook - Size: 8.23 MB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 4
jesussantana/Modern-Artificial-Intelligence
Projects that Unleash the Power of AI to Solve Real-World Business Challenges
Language: Jupyter Notebook - Size: 163 MB - Last synced at: 17 days ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 2
rkp678/Project3
Sentiment Analysis for Cryptocurrency, Open Banking, and Traditional Banking
Language: Jupyter Notebook - Size: 114 MB - Last synced at: about 2 years ago - Pushed at: about 3 years ago - Stars: 2 - Forks: 1
miquelescobar/ddrl
Distributed Deep Reinforcement Learning in an HPC system and deployment to the Cloud
Language: Python - Size: 27.8 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 2 - Forks: 0
aaakashkumar/Sentiment-Analysis-Web-App
A deployed RNN performing sentiment analysis on movie reviews complete with publicly accessible API and a simple web page which interacts with the deployed endpoint.
Language: HTML - Size: 1.22 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 2 - Forks: 0
dheerajnbhat/sentiment-analysis-webapp-sagemaker
A simple Web app for interacting with the Sentiment Analysis model using AWS Sagemaker for the purpose of determining the sentiment of a movie review using the IMDB data set.
Language: Jupyter Notebook - Size: 143 KB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 2 - Forks: 3
avaibh/Intelligent-System-Design-using-Cloud
Amazon Sagemaker, AWS SES, Route 53 and CloudFormation
Language: Python - Size: 699 KB - Last synced at: almost 2 years ago - Pushed at: almost 5 years ago - Stars: 2 - Forks: 0
Ideas2IT/datascience-lab
Data Science Experiments Repository of Ideas2IT
Language: Jupyter Notebook - Size: 464 KB - Last synced at: about 1 year ago - Pushed at: about 5 years ago - Stars: 2 - Forks: 1
silviomori/udacity-machine-learning-plagiarism-detector
Build a plagiarism detector that examines a text file and performs binary classification; labeling that file as either plagiarized or not
Language: Jupyter Notebook - Size: 503 KB - Last synced at: about 2 years ago - Pushed at: over 5 years ago - Stars: 2 - Forks: 3
SaifurRR/ML-Model-Deployment-using-AWS-Sagemaker-Docker
Language: Jupyter Notebook - Size: 1.14 MB - Last synced at: 10 days ago - Pushed at: 10 days ago - Stars: 1 - Forks: 0
shwetam19/Generative-AI-with-AWS
This repository contains the code and documentation for deploying and fine-tuning the Llama2 model which generates text on AWS SageMaker.
Language: Jupyter Notebook - Size: 396 KB - Last synced at: 4 days ago - Pushed at: 18 days ago - Stars: 1 - Forks: 0
samarasimhapeyala/Udacity-MLengineer-Nanodegree
This repo is a collection of my projects that I have completed during my Machine Learning Engineer Nanodegree at Udacity
Language: Jupyter Notebook - Size: 985 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 1 - Forks: 0
benitomartin/mlops-aws-insurance
End-to-end AWS Pipelines: Preprocessing till Monitoring
Language: Python - Size: 640 KB - Last synced at: 2 months ago - Pushed at: 10 months ago - Stars: 1 - Forks: 1
Arjun-08/Intrusion-Detection-System
This project uses XGBoost for intrusion detection in cloud computing, achieving 99.17% accuracy on the KDDcup99 dataset. Leveraging AWS services like Amazon S3 and SageMaker, we ensure robust security and efficiency in handling large datasets.
Language: Jupyter Notebook - Size: 1000 KB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 1 - Forks: 0
elmezianech/SageMaker-IT-Domain-Expert
This repository hosts a proof-of-concept (POC) project aimed at developing a domain expert model tailored for the Information Technology (IT) domain. The project employs advanced NLP techniques to train and deploy in AWS SageMaker a large language model, capable of generating informative and contextually relevant text responses in the IT domain.
Language: Jupyter Notebook - Size: 914 KB - Last synced at: about 2 months ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0
wellcometrust/sage
Toolkit for easy deployment of machine learning models on AWS SageMaker
Language: Python - Size: 209 KB - Last synced at: 7 days ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 1
RuFerdZ/Medical-X
US Insurance cost predicting linear regression model. Mainly used to learn about Machine Learning tools in Amazon Web Services (AWS)
Language: Jupyter Notebook - Size: 25.1 MB - Last synced at: about 1 month ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 1
fedeztk/aws-sagemaker-sentiment-analysis
AWS terraform deployment of a sentiment analysis API endpoint
Language: HCL - Size: 91.8 KB - Last synced at: about 2 months ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0
eljandoubi/DogBreedClassificationAWS
Use AWS Sagemaker to train a pretrained model that can perform image classification by using the Sagemaker profiling, debugger, hyperparameter tuning and other good ML engineering practices.
Language: Jupyter Notebook - Size: 1.17 MB - Last synced at: about 1 month ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 1
mihirkudale/Mobile-Price-Prediction
Language: Jupyter Notebook - Size: 53.7 KB - Last synced at: about 1 month ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 0
fernando-duarte/X17A5
Database construction scripts from parsed X-17A-5 filings for broker-dealers from EDGAR
Language: Jupyter Notebook - Size: 677 MB - Last synced at: over 1 year ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 1
Hegzo-bit/Practical_DS_AWS
Coursera Practical Data Science on AWS Specialization Courses Notebooks.
Language: Jupyter Notebook - Size: 6.19 MB - Last synced at: 12 months ago - Pushed at: about 2 years ago - Stars: 1 - Forks: 0
zakkipuar23/Shipper_and_AWS_hackathon
Put-away is one of the most crucial process in supply chain. If we misplace the goods, all of the rest process could be potentially delayed. That's why we choose this process to be improved by multiclassification machine learning model and dashboarding with AWS.
Size: 3.11 MB - Last synced at: over 1 year ago - Pushed at: almost 3 years ago - Stars: 1 - Forks: 0
bhagatsnehal/dog-breed-classification-model-deployment-AWS
Dog Breed Classification using Transfer Learning in AWS Sagemaker
Language: Jupyter Notebook - Size: 6.37 MB - Last synced at: 5 months ago - Pushed at: almost 3 years ago - Stars: 1 - Forks: 2
JoAmps/AWS_ML_architecture_for_cost_prediction_of_sporting_equipment
Build and Train a model on AWS sagemaker, and automate the various data and machine learning tasks using AWS step functions via AWS lambda and deploy to a webapp
Language: Jupyter Notebook - Size: 2.74 MB - Last synced at: almost 2 years ago - Pushed at: almost 3 years ago - Stars: 1 - Forks: 0
Devalent/aws-realtime-predictions
An end-to-end example of a serverless machine learning pipeline for multiclass classification on AWS with SageMaker Pipelines, Data Wrangler, Athena and XGBoost.
Language: TypeScript - Size: 1.17 MB - Last synced at: about 2 years ago - Pushed at: about 3 years ago - Stars: 1 - Forks: 0
OpenKBC/multiple_sclerosis_AWSmodule
This repository contains AWS module for MS project in OpenKBC
Language: Shell - Size: 1.05 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0
rodolfojt/Predicting_Starbucks_Offers
Capstone project from Machine Learning Engineer Nanodegree program.
Language: Jupyter Notebook - Size: 32 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0
xxl4tomxu98/SageMaker-MNIST
Xgboost-PyTorch Models on MNIST with K8s SageMaker Operators
Language: Jupyter Notebook - Size: 38.6 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0
JuanitaSmith/sagemaker_sentiment_analysis
ML: Sentiment Analysis using AWS Sagemaker Deployment
Language: Jupyter Notebook - Size: 91.8 KB - Last synced at: almost 2 years ago - Pushed at: almost 4 years ago - Stars: 1 - Forks: 0
JuanitaSmith/plagiarism_detection
ML: Plagiarism Detection using AWS pagemaker
Language: Jupyter Notebook - Size: 416 KB - Last synced at: almost 2 years ago - Pushed at: almost 4 years ago - Stars: 1 - Forks: 0
SumanthJain2998/Udacity-Deep-Learning-Nanodegree-Sentiment_Analysis_With_SageMaker
A Sentiment analysis web Application developed using AWS SageMaker's Machine Learning Workflow in Udacity’s Deep Learning Nanodegree
Language: HTML - Size: 124 KB - Last synced at: 3 months ago - Pushed at: almost 4 years ago - Stars: 1 - Forks: 0
ankushjain2001/SecuroDrive
Securodrive is a driving assistant platform built on Amazon Web Services (AWS). It is built to avoid road accidents due to sleepy drivers. This app assists the drivers by applying AI techniques to the live video stream of the driver and generating alerts when the driver appears to be yawning excessively or going in a drowsy state.
Language: Jupyter Notebook - Size: 83.6 MB - Last synced at: about 2 years ago - Pushed at: about 4 years ago - Stars: 1 - Forks: 0
Jensssen/Image-Classification-App
This repository contains my Rock Paper Scissor Classification App Project. It has been programmed using Kotlin and it uses AWS Sagemaker as a backend service to perform inference.
Language: Kotlin - Size: 406 KB - Last synced at: about 1 month ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 0
leosimoes/Udacity-Starbucks
Project 3 of the Udacity Machine Learning Engineer Nanodegree Program. Data analysis and machine learning application to Starbukcs data.
Language: Jupyter Notebook - Size: 414 KB - Last synced at: about 1 month ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 0
jcpsantiago/hazal
Test custom Sagemaker containers from the comfort of your laptop
Size: 82 KB - Last synced at: 5 days ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 0
CopperOnion/Pied-Paper
Language: Jupyter Notebook - Size: 44.4 MB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 2
ObinnaIheanachor/Deploy-a-Sentiment-Analysis-Model-using-AWS-Sagemaker
In this project, I have built a Sentiment Analysis Model on PyTorch to predict sentiment of movie reviews. This model has been deployed as a web app using AWS Sagemaker.
Language: Jupyter Notebook - Size: 216 KB - Last synced at: about 2 years ago - Pushed at: almost 5 years ago - Stars: 1 - Forks: 0
kunjan-mhaske/amazon-deepracer-reinforcement-learning
It contains the reward function and model generated that used in battle-of-schools March 2020 at RIT
Language: Python - Size: 42.9 MB - Last synced at: about 2 years ago - Pushed at: almost 5 years ago - Stars: 1 - Forks: 0
robcost/sagemaker-jetson-nano-workflow
This repo provides a workflow for creating and managing Machine Learning models in AWS SageMaker, and running them on a Jetson Nano SBC device. The goal of this repo is to show how to create multiple object detection ML models using MXNet, TensorFlow, and PyTorch, and deploy the models to a Jetson Nano.
Language: Jupyter Notebook - Size: 3.74 MB - Last synced at: about 2 years ago - Pushed at: almost 5 years ago - Stars: 1 - Forks: 0
basilwong/ai-cover-musician
Takes a song, interprets it, produces a cover of that song using AWS Sagemaker.
Language: Jupyter Notebook - Size: 1.39 GB - Last synced at: about 2 years ago - Pushed at: about 5 years ago - Stars: 1 - Forks: 0
SamiIbishi/udacity-nlp
This repo contains the practical assignments from Udacitys Nanodegree programm "Natural Language Programming".
Language: HTML - Size: 15.3 MB - Last synced at: over 1 year ago - Pushed at: about 5 years ago - Stars: 1 - Forks: 0
karanrn/AWS_Sagemaker
First attempt at AWS Sagemaker
Language: Jupyter Notebook - Size: 1.24 MB - Last synced at: about 2 years ago - Pushed at: over 7 years ago - Stars: 1 - Forks: 0
razamehar/Predicting-Bank-Customer-Churn
This project aims to predict bank customer churn using a dataset derived from the Bank Customer Churn Prediction dataset available on Kaggle. The dataset for this competition has been generated from a deep learning model trained on the original dataset, with feature distributions being similar but not identical to the original data.
Language: Jupyter Notebook - Size: 9.24 MB - Last synced at: 11 days ago - Pushed at: 11 days ago - Stars: 0 - Forks: 0
RishiMdvrm/RIOT-Games-Esports-Manager-Challenge
A digital assistant for VALORANT esports teams, leveraging LLMs, Amazon Bedrock, and Pinecone to optimize player scouting, team building, and performance analysis through data-driven insights and interactive queries. Built with React.js for the frontend, FastAPI for the backend, and Riot Games API for real-time data integration.
Language: Jupyter Notebook - Size: 144 KB - Last synced at: 16 days ago - Pushed at: 16 days ago - Stars: 0 - Forks: 0
rapha18th/AWS-sagemaker-Project1
Deployment of a sentiment analysis model
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