AWS Machine Learning Blog

MAY 10, 2023

Introducing two generative AI extensions for Jupyter Generative AI can significantly boost the productivity of data scientists and developers as they write code. Today, we are announcing two Jupyter extensions that bring generative AI to Jupyter users through a chat UI, IPython magic commands, and autocompletion.

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AWS Machine Learning Blog

MAY 12, 2023

Today, we are excited to announce the availability of Amazon CodeWhisperer and Amazon CodeGuru Security extensions in SageMaker notebooks. These AI-powered extensions help accelerate ML development by offering code suggestions as you type, and ensure that your code is secure and follows AWS best practices.

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Mlearning.ai

JUNE 2, 2023

subscribers, however, the number of views on the product launch exceeded 100K ( at the time of writing this blog ). So, in this two-part blog, we are going to set-off on a journey together to explore the universe of Modular. Revolutionising the nature of AI programmability, usability, scalability & compute!

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AWS Machine Learning Blog

FEBRUARY 12, 2024

The solution involved two key components: Modifying and extending existing code – The first part of our solution involved the modification and extension of our existing code to make it compatible with AWS infrastructure. Using SageMaker on-demand available instances allowed for a tenfold wait time reduction.

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Google Research AI blog

JUNE 15, 2023

In this blog post, we summarize the core techniques we employed to successfully execute large diffusion models like Stable Diffusion at full resolution (512x512 pixels) and 20 iterations on modern smartphones with high-performing inference speed of the original model without distillation of under 12 seconds.

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PyImageSearch

JULY 24, 2023

In this tutorial, you will learn about Keras Core , the new Keras Team repository that allows switching from the Keras backend to TensorFlow , PyTorch , and JAX. To quote the actual definition from the Keras Core repository : Keras Core is a new multi-backend implementation of the Keras API, with support for TensorFlow, JAX, and PyTorch.

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Pickl AI

MAY 24, 2023

To help you understand Python Libraries better, the blog will explain a Python Libraries for Data Science List which you can learn about. Evidently, you may need neural network that neural networks are easily expressed using computational graphs, TensorFlow can be used to implement computational graphs on Tensors as a series of operations.

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Mlearning.ai

MARCH 26, 2023

This blog post aims to provide you with a step-by-step guide to kickstart your data science journey, with a focus on learning through comprehensive projects and hands-on experiences. I recommend starting with TensorFlow. Craft a CNN model with TensorFlow or PyTorch. Evaluate your model and tweak it.

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Heartbeat

OCTOBER 24, 2023

One of ONNX’s key benefits is that it makes it simple to export models from one framework, like PyTorch, and import them into another framework, like TensorFlow. One of ONNX’s key benefits is that it makes it simple to export models from one framework, like PyTorch, and import them into another framework, like TensorFlow.

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AWS Machine Learning Blog

MAY 10, 2023

SageMaker provides an open-source extension that can be installed on any JupyterLab environment and be used to run notebooks as ephemeral jobs and on a schedule. The SageMaker extension expects the JupyterLab environment to have valid AWS credentials and permissions to schedule notebook jobs. or higher).

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PyImageSearch

JANUARY 8, 2024

Home Table of Contents Adversarial Learning with Keras and TensorFlow (Part 1): Overview of Adversarial Learning Configuring Your Development Environment Need Help Configuring Your Development Environment? Furthermore, we build our model architecture and related modules using Keras and TensorFlow.

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ODSC - Open Data Science

JANUARY 5, 2024

In this blog, we’re going to take a look at some of the top Python libraries of 2023 and see what exactly makes them tick. With the explosion of AI across industries TensorFlow has also grown in popularity due to its robust ecosystem of tools, libraries, and community that keeps pushing machine learning advances.

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AWS Machine Learning Blog

MARCH 20, 2023

with PyTorch (v1.11) being the ML framework used with Intel® Extension for PyTorch. We use Intel extensions for PyTorch for an effective INT8 deployment workflow. This is a guest post co-written with Antony Vance from Intel. In the following example figure, we show INT8 inference performance in C6i for a BERT-base model.

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Becoming Human

MAY 15, 2023

Both of these languages have extensive libraries that will get you started with the basics of machine learning. This data comes everywhere, including articles, blogs, news sites, and journals. Introduction Over the past decade, major breakthroughs have been made in the field of Artificial Intelligence (AI). What are LLMs used for?

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AWS Machine Learning Blog

APRIL 12, 2023

This is a guest blog post co-written with Hussain Jagirdar from Games24x7. Games24x7 is one of India’s most valuable multi-game platforms and entertains over 100 million gamers across various skill games. This work has been published in CIKM’21 and is open source for rare class identification for any longitudinal telemetry data.

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The MLOps Blog

APRIL 20, 2023

In this blog post, I’ll share my own experiences and the hard-won insights I’ve gained from designing, building, and deploying cutting-edge CV models across various platforms like cloud, on-premise, and edge devices. Data augmentation Data augmentation is essential for boosting the size and diversity of your dataset.

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Mlearning.ai

JUNE 5, 2023

A Guide to Computer Vision Tools Hello and welcome to my blog on computer vision tools! In this blog, I will introduce you to some of the most popular and powerful computer vision tools that you can use to unleash your creativity and have fun. If you are like me, you love playing with images and videos and making them do cool things.

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AWS Machine Learning Blog

JUNE 8, 2023

AWS Deep Learning Containers already provides pre-built Docker images for training and serving models in common frameworks such as TensorFlow, PyTorch, and MXNet. Studio provides an extensive list of first-party images with common frameworks and packages, such as Data Science, TensorFlow, PyTorch, and Spark.

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PyImageSearch

DECEMBER 4, 2023

This blog is the 1st of a 3-part series: ML Days in Tashkent — Day 1: City Tour (this tutorial) ML Days in Tashkent — Day 2: Sprints and Sessions ML Days in Tashkent — Day 3: Demos and Workshops ML Days in Tashkent — Day 1: City Tour Arriving at Tashkent! pip uninstall -q tensorflow -y !pip pip uninstall -q keras -y !pip

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The MLOps Blog

NOVEMBER 14, 2023

That said, many of the machine learning visualization techniques I covered in my last blog post apply to deep learning models as well. The large language model GPT-4 that OpenAI released in the spring of 2023 is rumored to have nearly 2 trillion parameters. This is where visualizations in ML come in.

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Ocean Protocol

FEBRUARY 1, 2024

These AI/ML models become invaluable tools for aviation operations and safety by harnessing the extensive historical METAR data. ‘Aviation Weather Forecasting Using METAR Data’ is the second data challenge in 2024, and the second opportunity to score points in the Championship Leaderboard for this season.

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AWS Machine Learning Blog

MARCH 15, 2024

This is a guest blog post written by Nitin Kumar, a Lead Data Scientist at T and T Consulting Services, Inc. In this post, we discuss the value and potential impact of federated learning in the healthcare field. This isolated legacy data has the potential for massive impact if cumulated. So why hasn’t it been used yet?

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Heartbeat

JUNE 23, 2023

Time series analysis has become increasingly relevant for a variety of industries, including banking, healthcare, and retail, as big data and the internet of things (IoT) have grown in popularity. In the past, traditional statistical methods such as Autoregressive Integrated Moving Average were used for time-series analysis. Let’s dive in!

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DagsHub

SEPTEMBER 7, 2023

In this tutorial, we’ll use the Kvasir Image Segmentation project to build and automate a custom pipeline that trains an image-segmentation model that can detect diseases in the gastrointestinal tract What will this blog cover? Automated Pipeline : We'll automate the pipeline's execution using dedicated build scripts.

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Heartbeat

AUGUST 9, 2023

Step 1: Getting Dataset and Heading to Notebook To download the dataset used in this project, visit this link to Kaggle, register (if you are not a member), and download: NB: The dataset is originally found in the Tensorflow Utils datasets. To learn more about Tensorflow, visit this link.

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Heartbeat

JULY 27, 2023

Well, that’s because at the heart of Tensorflow’s TFRecords, are protobufs. The most basic component of a TFRecord (and by extension, the protobufs that make up TFRecords) is data that consists of one of three types bytes  — Would be used for text, audio, or video based features/inputs. Tensorflow’s Feature proto definition.

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Heartbeat

AUGUST 15, 2023

Implementing CNNs in Python is relatively easy due to the availability of popular machine learning libraries such as PyTorch and TensorFlow. Photo by Mick Haupt on Unsplash Handwriting recognition is the process of converting handwritten text into computer-readable text.

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Pickl AI

NOVEMBER 8, 2023

It excels in Machine Learning and Artificial Intelligence with libraries like TensorFlow and Scikit-learn. Large Standard Library Python comes with an extensive standard library that provides pre-built modules and functions for a wide range of tasks. A Python developer gets ₹5,00000 per year in India.

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Heartbeat

MARCH 13, 2024

Comet extensively integrates with multiple libraries, including the most common ones for deep learning, such as TensorFlow, Keras, and Pytorch. These integrations are well-supported and allow extensive types of workflows, including those that require transfer learning. Sign up here. A Python 3.9+ A fierce learning spirit.

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phData

JUNE 28, 2023

In this blog, we will discuss the complementary nature of KNIME and Snowflake in a data analytics workflow. By explaining the key distinct advantages of using both tools together, this blog will provide organizations with insights on how they can maximize the potential of their data stack.

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Heartbeat

MAY 24, 2023

Let’s try to load an image as a NumPy matrix and a TensorFlow Tensor. Image Metadata Note that the extension value is derived from the filename value. Loading images with Image() class Here we will use an image of a cat and load it using the Image() class. image = kg.Image('/content/cats-dogs/cat1.jpeg') jpeg').to_pil()

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Pickl AI

JUNE 15, 2023

The growth of Artificial Intelligence across the world is quite rapid and the modern-day industries have been using AI to enhance their products and services. Consequently, the need for AI experts is increasing rapidly as well which has led to the coming up of various courses in the market. What is Artificial Intelligence?

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AWS Machine Learning Blog

APRIL 29, 2024

This is a guest post by Mark McQuade, Malikeh Ehghaghi, and Shamane Siri from Arcee. In recent years, large language models (LLMs) have gained attention for their effectiveness, leading various industries to adapt general LLMs to their data for improved results, making efficient training and hardware availability crucial.

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Google Research AI blog

JULY 23, 2023

We look forward to sharing some of our extensive ML research and expanding our partnership with the broader ML research community. See Google DeepMind’s blog to learn about their technical participation at ICML 2023. Google is also proud to be a Platinum Sponsor for both the LatinX in AI and Women in Machine Learning workshops.

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Pickl AI

JULY 18, 2023

Its simplicity, versatility, and extensive range of libraries make it a favorite choice among Data Scientists. Additionally, its natural language processing capabilities and Machine Learning frameworks like TensorFlow and scikit-learn make Python an all-in-one language for Data Science.

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AWS Machine Learning Blog

DECEMBER 14, 2023

The flexible and extensible interface of SageMaker Studio allows you to effortlessly configure and arrange ML workflows, and you can use the AI-powered inline coding companion to quickly author, debug, explain, and test code. A Space represents a combination of a compute instance, storage, and other runtime configurations.

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The MLOps Blog

MARCH 23, 2023

These models have achieved various groundbreaking results in many NLP tasks like question-answering, summarization, language translation, classification, paraphrasing, et cetera. Even if you are fine-tuning an average-sized model for a large-scale application, you need to muster a huge amount of data. For instance, a 1.5B For instance, a 1.5B

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