FlowingData

MAY 5, 2023

Bhatia used nanoGPT , an open source library, to model Jane Austen, Shakespeare, and Star Trek: The Next Generation. Tags: AI , language , model , Upshot Aatish Bhatia, for NYT’s The Upshot, walks you through how such a model “learns” to write based on a relatively small body of text.

AWS 94

AWS AI AI 94

FlowingData

OCTOBER 4, 2022

The Olli library aims to make it easier for developers to improve the accessibility of existing charts : Olli is an open-source library for converting data visualizations into accessible text structures for screen reader users. Tags: accessibility , Matt Blanco , Olli.

Data Visualization 104

Data Visualization 104

Data Science Dojo

AUGUST 4, 2023

Understanding Dockers and Containers – Source: Microsoft Understanding the concept of Docker and Containers The concept of Docker for Data Science is to help developers develop and ship their code easily, in the form of containers. Open your project directory in VS Code. It should say “Open a Remote Window.”

Data Science 195

Data Science Python Data Scientist Machine Learning 195

AWS Machine Learning Blog

JUNE 8, 2023

To improve this experience, we announced a public beta of the SageMaker open-source distribution at 2023 JupyterCon. The open-source SageMaker Distribution supports the most common packages and libraries for data science, ML, and visualization, such as TensorFlow, PyTorch, Scikit-learn, Pandas, and Matplotlib.

AWS 75

AWS ML ML Data Scientist 75

FlowingData

MAY 19, 2022

Leonardo is an open source project from Adobe that helps you pick accessible colors. Tags: accessibility , color , Leonardo. There’s a JavaScript API along with a browser tool that lets you select colors interactively. Color is a common encoding to visualize data. So it’s good to see these sorts of tools available.

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Towards AI

DECEMBER 28, 2023

In this article, I’ll introduce you to 10+ essential open-source Python packages for Natural Language Processing that you can’t miss. Before starting, consider taking a look at my Medium profile where I cover topics on Data Science, Machine Learning, and Python! ."""

Natural Language Processing 97

Natural Language Processing Python Artificial Intelligence Artificial Intelligence 97

FlowingData

MAY 17, 2022

The Open-Source Psychometrics Project, which seems to have been around for a while, provides personality quizzes as an exercise in data collection and personality education : This website has been offering a wide selection of psychological assessments, mostly personality tests, since late 2011 and has given millions of results since then.

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FlowingData

MAY 25, 2022

Using Nexis, news articles, open-source databases, law enforcement reports, information from school websites and calls to schools and police departments, The Post reviewed more than 1,000 alleged incidents but counted only those that happened on campuses immediately before, during or just after classes.

Database 101

Database 101

FlowingData

APRIL 27, 2022

Finally, we introduce and validate the design of an open-source, three-dimensionally printed Oreometer powered by rubber bands and coins for encouraging higher precision home studies to contribute new discoveries to this incipient field of study. Tags: MIT , Oreo , physics. This is very important. via kottke ].

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Data Science 101

AUGUST 27, 2023

“One example of the open ecosystem: making.NET Core cross-platform and open source was a huge win.” Having said that, however, it really is a great ecosystem to work with and it’s only improved over the years, especially after MS embraced the open-source community more openly. It is great.

Azure 98

Azure SQL Database 98

The MLOps Blog

APRIL 16, 2024

You log all the metadata into this one source of truth, and you see it in an intuitive web app. It’s a technology-agnostic, open-source pipelines framework that’s easy to plugin and just works. neptune_run = get_neptune_run() … You can also tell ZenML to pass custom tags to the Neptune run object upon instantiation.

ML 52

ML ML 52

ODSC - Open Data Science

SEPTEMBER 12, 2023

Although setting up a database to run your analyses may seem like an arduous task, modern open-source time series databases can provide significant benefits to any scientist running time series analysis on a large data set — and with much less effort than you might imagine.

Data Scientist 97

Data Scientist Database Data Lakes Data Science 97

DagsHub

MARCH 21, 2024

But, constructing a comprehensive solution tailored for computer vision using Machine Learning Operations (MLOps) is often demanding, and requires a strategic integration of open-source tools. an open-source platform that ensures scalable and reliable storage solutions. Leveraging Min.IO

Machine Learning 52

Machine Learning Machine Learning AWS Data Visualization 52

IBM Data Science in Practice

MARCH 8, 2023

Hidden Technical Debt in Machine Learning Systems More money, more problems — Rise of too many ML tools 2012 vs 2023 — Source: Matt Turck People often believe that money is the solution to a problem. Source: A Chat with Andrew on MLOps: From Model-centric to Data-centric AI So how does this data-centric approach fit in with Machine Learning? — Features

Machine Learning 264

Machine Learning Machine Learning ML ML 264

Defined.ai blog

JANUARY 5, 2023

Open-source datasets are a valuable resource for developers and researchers working on conversational AI. There are many open-source datasets available, but some of the best for conversational AI include the Cornell Movie Dialogs Corpus, the Ubuntu Dialogue Corpus, and the OpenSubtitles Corpus.

AI 52

AI AI Machine Learning Machine Learning 52

Dataconomy

AUGUST 14, 2023

This open-source tool reached its funding goal on Kickstarter in 2020, underlining its appeal to a niche community. Capturing and storing the signal from a garage door opener. Engagement with RFID tags and cards In conjunction with NFC, Flipper Zero can engage with RFID, even reading a hotel key card.

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Data Science Dojo

AUGUST 8, 2023

10 steps to become a prompt engineer – Source: Data Science Dojo Roadmap to becoming a prompt engineer Becoming a proficient prompt engineer requires following a structured path and gaining expertise in various areas. Stay updated by following reputable sources, attending conferences, and engaging with the AI community.

Natural Language Processing 221

Natural Language Processing AI AI Python 221

Dataconomy

AUGUST 29, 2023

the latest iteration, the base model of Stable Diffusion v2 was adapted using an extensive dataset of 5,468,025 anime text-image samples, sourced from Danbooru , a well-known anime imageboard. ” Open your web browser and navigate to the URL displayed in the message to access the Web UI. For Waifu Diffusion v1.4,

AI 185

AI AI Python Artificial Intelligence 185

Defined.ai blog

MARCH 23, 2023

This step involves techniques such as named entity recognition and part-of-speech tagging to identify the specific nouns and noun phrases that represent said aspects or entities. Advantages and disadvantages of Open-source datasets Open-source datasets are important for sentiment analysis projects for several reasons.

Natural Language Processing 52

Natural Language Processing Algorithm Artificial Intelligence Artificial Intelligence 52

Smart Data Collective

AUGUST 25, 2021

Image source. Image Tagging. Like visual search, image tagging also uses visual recognition technology. If you click one of the labels, the platform will direct you to visually similar results under that tag. Image tagging offers quick and relevant search results to users. Image source.

Artificial Intelligence 135

Artificial Intelligence Artificial Intelligence AI AI 135

AWS Machine Learning Blog

MAY 5, 2023

Voxel51 is the company behind FiftyOne, the open-source toolkit for building high-quality datasets and computer vision models. FiftyOne by Voxel51 is an open-source toolkit for curating, visualizing, and evaluating computer vision datasets so that you can train and analyze better models by accelerating your use cases.

Machine Learning 76

Machine Learning Machine Learning AWS ML 76

Dataconomy

JANUARY 2, 2024

Once you find the desired character, click on them to open a chat window. For instance, if you create a character like Gamer Boy, you might have her open with a greeting like, “Hey there. Here, you can add relevant tags and keywords, which help in accurately representing your character. ” Step 3 on C.ai

AI 103

AI AI Artificial Intelligence Artificial Intelligence 103

AWS Machine Learning Blog

OCTOBER 26, 2023

One of the key requirements for many customers using Drupal is the ability to easily and securely find accurate information across all the documents in the data source. This post shows you how to use the Amazon Kendra Drupal connector to configure the connector as a data source for your Amazon Kendra index and search your Drupal documents.

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AWS Machine Learning Machine Learning Cloud Computing 99

AWS Machine Learning Blog

FEBRUARY 13, 2024

The BigBasket team was running open source, in-house ML algorithms for computer vision object recognition to power AI-enabled checkout at their Fresho (physical) stores. Use a custom PyTorch Docker container including other open source libraries. The following figure provides an overview of the checkout process.

AWS 103

AWS AI AI ML 103

Iguazio

FEBRUARY 20, 2024

The introduction of ChatGPT, Microsoft Copilot, Midjourney, Stable Diffusion and many more incredible tools have opened up new possibilities we couldn’t have imagined 18 months ago. Unconstrained, long, open-ended generation that may expose harmful or biased content to users, like legal document creation.

AI 52

AI AI Data Pipeline Data Quality 52

AssemblyAI

OCTOBER 2, 2023

Share any innovations you're working on to Discord or tag us on Twitter or LinkedIn ! The NEW #1 Open-Source AI Model : Explore the leading new open-source AI mode: Falcon-180B and learn how to deploy it instantly! With easy-to-use code snippets for common use-cases, get started with our powerful API today!

AI 52

AI AI 52

Tableau

MARCH 3, 2021

However, when it comes to using data from external sources, the potential often remains untapped: Important context is missing from your analysis and key insights remain undiscovered. Initially, we created a catalog of curated, public datasets from sources such as the U.S. Introducing the Data Repository.

Tableau 106

Tableau Analytics Analytics 106

Snorkel AI

JULY 19, 2023

We used weak supervision to programmatically curate instruction tuning data for open-source LLMs. Unfortunately, high variance in the quality and distribution of responses collected by volunteers has limited the quality of resulting open source models. For these experiments, we use the RedPajama family of LLMs.

AI 52

AI AI Natural Language Processing Machine Learning 52

Snorkel AI

JULY 19, 2023

We used weak supervision to programmatically curate instruction tuning data for open-source LLMs. Unfortunately, high variance in the quality and distribution of responses collected by volunteers has limited the quality of resulting open source models. For these experiments, we use the RedPajama family of LLMs.

AI 52

AI AI Natural Language Processing Machine Learning 52

Mlearning.ai

MARCH 3, 2024

You can keep your code open source (Anyone can see your code) or you can keep it in a private repository (Only you and people you add can see the code) Assuming you already have a GitHub account, you need to add ssh to be able to add code via command line. Now that you have understood version, Let’s get back to our code situation.

AI 52

AI AI ML ML 52

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. The first 6 lines are for importing necessary classes in our source codes. matplotlib==3.5.0 inside. ."

Data Science 52

Data Science Python ML ML 52

ODSC - Open Data Science

JANUARY 1, 2024

Blogs In this tag , we have dozens of blogs related to Microsoft tools and processes, including items written by ODSC staff, news pieces, and tutorials written by Microsoft creators themselves. All you need to do is register for a free Ai+ Training account and watch all of them on-demand whenever you want. Where can I stay up to date?

Azure 52

Azure Data Science Machine Learning Machine Learning 52

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. Select the notebook aws-llm-apps-blog and choose Open JupyterLab.

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AWS Clustering Python ML 76

The MLOps Blog

MARCH 15, 2023

Data pipeline stages But before delving deeper into the technical aspects of these tools, let’s quickly understand the core components of a data pipeline succinctly captured in the image below: Data pipeline stages | Source: Author What does a good data pipeline look like? Does the tool offer customer support ?

Data Pipeline 59

Data Pipeline ETL SQL Data Quality 59

AWS Machine Learning Blog

APRIL 25, 2023

Solution overview A data source is a data repository or location that Amazon Kendra connects to and indexes your documents or content. After you create an Amazon Kendra index, you can create one or many data sources and configure them to start ingesting documents from the data source. Choose Add data source.

AWS 65

AWS Natural Language Processing Machine Learning Machine Learning 65

Snorkel AI

FEBRUARY 2, 2023

If you’re not familiar with the Snorkel Flow platform, the iteration loop looks like this: Label programmatically: Encode labeling rationale as labeling functions (LFs) that the platform uses as sources of weak supervision to intelligently auto-label training data at scale. Streamlined tagging workflows. Improved tagging analysis.

Machine Learning 52

Machine Learning Machine Learning ML ML 52

Snorkel AI

FEBRUARY 2, 2023

If you’re not familiar with the Snorkel Flow platform, the iteration loop looks like this: Label programmatically: Encode labeling rationale as labeling functions (LFs) that the platform uses as sources of weak supervision to intelligently auto-label training data at scale. Streamlined tagging workflows. Improved tagging analysis.

Machine Learning 52

Machine Learning Machine Learning ML ML 52