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1st-edition

Source Code Collection and Supplemental Material for the O'Reilly Snowflake Definitive Guide 1st Edition book

acme.sh

A pure Unix shell script implementing ACME client protocol

amazon-bedrock-quick-start

Learn how to Quickly build Generative AI applications with Amazon Bedrock

amazon-bedrock-samples

This repository contains examples for customers to get started using the Amazon Bedrock Service. This contains examples for all availble foundational models

amazon-bedrock-workshop

This is a workshop designed for Amazon Bedrock a foundational model service.

amazon-sagemaker-examples

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

amazon-textract-serverless-large-scale-document-processing

Process documents at scale using Amazon Textract

amazon-transcribe-output-word-document

An Amazon Transcribe demo to produce a Microsoft Word document containing the turn-by-turn transcription of the audio. This will include additional metadata depending upon the options selected, such as caller sentiment, category identification and issue detection

amazon-transcribe-post-call-analytics

aws

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.

aws-experiments-comprehend-custom-classifier

How to train a custom NLP classifier with AWS Comprehend?

aws-sam-cli-app-templates

baidunetdisk-docker

bedrock-agent-txt2sql

Use natural language to Generate Amazon Athena SQL queries to fetch data.

bedrock-agents-streamlit

Creating Amazon Bedrock agents with Streamlit Framework

canlogger

Simple CAN Logger for Raspberry Pi using Python 3

chat

cheatsheets

My cheatsheets

chupacarbrah

Learn car hacking with Python and BeagleBone Blue

clrs

:notebook:Solutions to Introduction to Algorithms

codepipeline-ecr-build-sf-execution

complaint-content-classification-nlp

Natural Language Processing classification project with machine learning models developed to classify consumer complaints.

credit-card-fraud-detection-using-autoencoders-in-keras

iPython notebook and pre-trained model that shows how to build deep Autoencoder in Keras for Anomaly Detection in credit card transactions data

ctcdecoder

Connectionist Temporal Classification (CTC) decoding algorithms: best path, prefix search, beam search and token passing. Implemented in Python and OpenCL.

darknet

YOLOv4 - Neural Networks for Object Detection (Windows and Linux version of Darknet )

dataanalysiswithpythonandpyspark

Code repository for the "PySpark in Action" book

deepspeech

A TensorFlow implementation of Baidu's DeepSpeech architecture

distributed-database-simulation

Distributed Network Hash Table Simulation for EE 450 at USC

docker-elk

The Elastic stack (ELK) powered by Docker and Compose.