AWS Machine Learning Blog

SEPTEMBER 26, 2023

Solution overview In this solution, we show how to host a ML serial inference application on Amazon SageMaker with real-time endpoints using two custom inference containers with latest scikit-learn and xgboost packages. For this, we use python:3.9-slim-buster Here’s a sample code snippet that demonstrates this. Refer to preprocessing.py

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AWS Machine Learning Blog

NOVEMBER 14, 2023

Python 3.10 Experiments plus callback integration Amazon SageMaker Experiments lets you organize, track, compare and evaluate machine learning (ML) experiments and model versions from any integrated development environment (IDE), including local Jupyter Notebooks, using the SageMaker Python SDK or boto3.

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Flipboard

OCTOBER 9, 2023

Getting Used to Docker for Machine Learning Introduction Docker is a powerful addition to any development environment, and this especially rings true for ML Engineers or enthusiasts who want to get started with experimentation without having to go through the hassle of setting up several drivers, packages, and more.

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Mlearning.ai

JULY 22, 2023

The UI of MakeSense The problem of such is the tons of clicks required to tag the whole dataset, while this platform also include an AI assited tagging, you can either use a model on roboflow, or provide your own model (which required a Tensorflow.js NET, Java and shell script. and supporting functions in model_handler.py

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Shreyansh Singh

JANUARY 23, 2022

Quite a while back, I had written a post in which I described how to package your Machine Learning models using Docker and deploy them using Flask. Package Requirements An Amazon Web Services account (I intentionally use a simple ML model to deploy as it remains in the AWS Free tier constraints across all the services I mention above.

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AWS Machine Learning Blog

MAY 16, 2024

However, if you specify the framework for your estimator here, you can pass in the version of the framework and Python version to use, and it will automatically fetch the version-appropriate container image from Amazon ECR. By registering trained models in model packages, you can manage them by version, as shown in the following screenshot.

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Pragnakalp

JANUARY 12, 2023

In this tutorial, we will walk you through the process of packaging an ML model as a Docker container and deploying it on AWS Lambda, a serverless computing service. Containers allow a developer to package up an application with all of the parts it needs, such as libraries and other dependencies, and ship it all out as one package.

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TensorFlow

FEBRUARY 3, 2023

In 2022, the MediaPipe hands NPM package had around 70K downloads, the pose package had about 90K downloads, and the selfie segmentation package had over 130K downloads! The MediaPipe Model Maker package is a simple, low-code solution for customizing on-device ML models, including models for the web.

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AWS Machine Learning Blog

APRIL 25, 2023

With this new capability of the SageMaker Python SDK, data scientists can onboard their ML code to the SageMaker Training platform in a few minutes. In this release, you can run your local machine learning (ML) Python code as a single-node Amazon SageMaker training job or multiple parallel jobs.

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AWS Machine Learning Blog

NOVEMBER 20, 2023

KT’s AI Food Tag is an AI-based dietary management solution that identifies the type and nutritional content of food in photos using a computer vision model. The AI Food Tag can help patients with chronic diseases such as diabetes manage their diets. In this post, we describe KT’s model development journey and success using SageMaker.

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AWS Machine Learning Blog

FEBRUARY 29, 2024

framework/createmodel/ – This directory contains a Python script that creates a SageMaker model object based on model artifacts from a SageMaker Pipelines training step. framework/processing/ – This directory contains a Python script that creates a SageMaker Processing job based on the specified Docker image and entry point script.

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Chatbots Life

SEPTEMBER 11, 2023

Introduction The article explores the practical application of essential Python libraries like TextBlob, symspell, pyspellchecker and Flan-T5 based grammar checker in the context of spell and grammar checking. Different Python libraries for spell checker and grammar checker. Install the packages !pip

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Explosion

NOVEMBER 4, 2021

CPU BLIS thinc-apple-ops Package power (Watt) Mac Mini (M1) 6,492 27,676 5 MacBook Air Core i5 2020 9,790 10,983 9 AMD Ryzen 5900X 22,568 n/a 52 Doc input for pipelines nlp and nlp.pipe accept Doc input, skipping the tokenizer if a Doc is provided instead of a string. New transformer package for Japanese spaCy v3.2

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Heartbeat

FEBRUARY 29, 2024

If you know Python but not HTML, you should first understand the basics of HTML. A set of tags is used to structure content on the Internet. Tags are like containers that wrap various elements, defining their structure and appearance on a web page. HTML Tags Tags are the heart of HTML. <img>: Images. <ul>,

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Heartbeat

FEBRUARY 8, 2023

The first section of this article will look at the various languages that can be used for NLP, and the second section will focus on five NLP packages available in the R language. We’d also do a little NLP project in R with the “sentimentr” package. Python also includes a large number of packages that allow for code reuse.

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Mlearning.ai

FEBRUARY 28, 2023

Building a Simple Front End with Streamlit Streamlit is an open-source Python library that let users build web applications quickly without any knowledge of common web development frameworks such as JavaScript, HTML or CSS. This is a question of packaging our entire application and ship it to the users. FROM python:3.9.16-slim

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The MLOps Blog

AUGUST 4, 2023

or as narrow as a couple of Python projects developed by a small team thrown into a single repository. How to set up ML monorepo with Python? Since most machine learning is done in Python, let’s focus on the ones with the best Python support. In this blog post, we focus on repositories storing machine learning code.

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Marktechpost

AUGUST 13, 2023

HTML, CSS, JavaScript, PHP, and Python are just some of the file formats that may be uploaded and run on Live Server. The prettier-formatter package can be used to create a customized Prettier formatting setting. With the prettier-formatter package, you can set up Prettier to suit your needs. to produce dynamic web pages.

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Heartbeat

APRIL 17, 2023

In this article, we will discuss how to perform Named Entity Recognition with SpaCy , a popular Python library for NLP. Part-of-speech (POS) tagging: Each word in the text is tagged with its part-of-speech (e.g., This involves identifying contiguous groups of words that belong together, based on their part-of-speech tags.

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AWS Machine Learning Blog

OCTOBER 2, 2023

The sample use case used for this series is a visual quality inspection solution that can detect defects on metal tags, which you can deploy as part of a manufacturing process. In a production setting, you can decide to automatically notify another system that takes care of removing faulty metal tags from the production line.

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Towards AI

APRIL 19, 2024

It’s an open-source Python package for Exploratory Data Analysis of text. It has functions for the analysis of explicit text elements such as words, n-grams, POS tags, and multi-word expressions, as well as implicit elements such as clusters, anomalies, and biases.

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AWS Machine Learning Blog

MAY 25, 2023

We use a combination of different AWS services, open-source foundation models ( FLAN-T5 XXL for text generation and GPT-j-6B for embeddings) and packages such as LangChain for interfacing with all the components and Streamlit for building the bot frontend. AWS Identity and Access Management roles and policies for access management.

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AWS Machine Learning Blog

JUNE 27, 2023

Discover models You can access the foundation models through SageMaker JumpStart in the SageMaker Studio UI and the SageMaker Python SDK. You can identify proprietary models by the “Proprietary” tag on model cards, as shown in the following screenshot. The selected model package contains the mapping of ARNs to Regions.

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Mlearning.ai

JUNE 29, 2023

This omnipotent tool possesses a profound ability to transmute ordinary individuals into Python-fueled sorcerers, endowing developers with the effortless prowess to conjure captivating web applications that enrapture the senses through unparalleled data visualization and analytics capabilities. children='Hello DASH!

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Mlearning.ai

OCTOBER 14, 2023

The popularity of the last ones are best reflected by Kaggle statistics — 6 688 of available datasets are tagged as ”tabular”, 4 908 datasets contain the tag ”image” and 178 datasets are tagged as ”text”. However, they are extremely difficult to work with. Why is that?

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Explosion

JULY 6, 2021

Named entity recognition isn’t the right tool for this problem, since an entity recognizer typically predicts single token-based tags that are very sensitive to boundaries. adds 5 new pipeline packages, including a new core family for Catalan and a new transformer-based pipeline for Danish using the danish-bert-botxo weights.

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AWS Machine Learning Blog

NOVEMBER 30, 2023

Models are packaged into containers for robust and scalable deployments. It’s a low-level API available for Java, C++, Go, JavaScript, Node.js, PHP, Ruby, and Python. The SageMaker Python SDK is a high-level Python API that abstracts some of the steps and configuration, and makes it easier to deploy models.

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AWS Machine Learning Blog

FEBRUARY 14, 2024

We use XML tags to better improve the performance of the model. intents_block} The output format is: {{ "intent_id": intent_id, "confidence": confidence }} For the given utterance, you try to categorize the intent of the caller to be one of the intents in tags. Put your thinking in tags before deciding on the intent.

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AssemblyAI

JANUARY 19, 2023

Flask is a micro web framework for Python that allows us to run arbitrary Python functions associated with different routes. First, we need to install all necessary packages to use Hugging Face's diffusers library, which allows us to use the Stable Diffusion model. pip install diffusers==0.10.2

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Pragnakalp

JANUARY 12, 2023

Introduction Extracting video, image URLs, and text from the webpage can be done easily with selenium and beautiful soup in python. They are often used in conjunction with HTML5 video elements, which allow web developers to embed video content directly into a web page, using a simple <video> tag. decode("utf-8").split("n")

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AWS Machine Learning Blog

FEBRUARY 29, 2024

Install the plugin package in the OpenSearch Service domain. On the Packages tab, choose Associate package to associate the Amazon Personalize Search Ranking plugin with your OpenSearch Service domain. After you have connected the plugin, it will appear in the list of packages as a plugin type. The closer to 1.0

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AWS Machine Learning Blog

OCTOBER 2, 2023

Use case: Inspecting the quality of metal tags As an ML engineer, it’s important to understand the business case you are working on. Imagine a production line of a manufacturer that engraves metal tags to create customized luggage tags. To make this process more efficient, we use ML to detect faulty tags early in the process.

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AWS Machine Learning Blog

DECEMBER 13, 2023

It also maintains a rule that prompts the Lambda function to deploy the model pipeline when the status of the model package version changes from PendingManualApproval to Approved within the model registry. A model package group is established that houses all related model versions. For Version title , choose 1.0. Choose Review.

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Heartbeat

DECEMBER 27, 2023

Containers : Containers take an alternative approach, as they package just the application alongside its binaries, libraries, and dependencies and ship it all out as one package. These Python virtual environments encapsulate and manage Python dependencies, while Docker encapsulates the project’s dependency stack down to the host OS.

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Heartbeat

JANUARY 19, 2024

Installation The SDK and YOLOPandas can be installed using the Python package installer — pip #install CometLLM pip install comet_llm #install YOLOPandas pip install yolopandas Import libraries After installation, the next steps require you to import both the SDK and the Library into your notebook.

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AWS Machine Learning Blog

MARCH 15, 2023

The term legacy code refers to code that was developed to be manually run on a local desktop, and is not built with cloud-ready SDKs such as the AWS SDK for Python (Boto3) or Amazon SageMaker Python SDK. The best practice for migration is to refactor these legacy codes using the Amazon SageMaker API or the SageMaker Python SDK.

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AWS Machine Learning Blog

APRIL 17, 2023

The custom transform feature supports Python, PySpark, and SQL as different steps in code snippets. NLTK is a leading platform for building Python programs to work with human language data. You can create a custom transform using Pandas, PySpark, Python user-defined functions, and SQL PySpark. Choose Python (Pandas).

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