ODSC - Open Data Science

APRIL 19, 2023

Deep learning continues to be a hot topic as increased demands for AI-driven applications, availability of data, and the need for increased explainability are pushing forward. So let’s take a quick dive and see some big sessions about deep learning coming up at ODSC East May 9th-11th.

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AWS Machine Learning Blog

APRIL 19, 2023

The DJL is a deep learning framework built from the ground up to support users of Java and JVM languages like Scala, Kotlin, and Clojure. With the DJL, integrating this deep learning is simple. Our data scientists train the model in Python using tools like PyTorch and save the model as PyTorch scripts.

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Flipboard

NOVEMBER 30, 2023

Although it provides various entry points like the SageMaker Python SDK, AWS SDKs, the SageMaker console, and Amazon SageMaker Studio notebooks to simplify the process of training and deploying ML models at scale, customers are still looking for better ways to deploy their models for playground testing and to optimize production deployments.

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PyImageSearch

APRIL 24, 2023

This tutorial is primarily for developers who want to accelerate their deep learning models with PyTorch 2.0. In this series, you will learn about Accelerating Deep Learning Models with PyTorch 2.0. TorchDynamo extracts FX Graphs by inspecting Python bytecode at runtime and detecting calls to PyTorch operations.

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Flipboard

FEBRUARY 7, 2023

Although you can easily carry out smaller experiments and demos with the sample notebooks presented in this post on Studio Lab for free, it is recommended to use Amazon SageMaker Studio when you train your own medical image models at scale. Make sure to choose the medical-image-ai Python kernel when running the TCIA notebooks in Studio Lab.

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ODSC - Open Data Science

MARCH 20, 2023

Finally, Tuesday is the first day of the AI Expo and Demo Hall , where you can connect with our conference partners and check out the latest developments and research from leading tech companies. This will also be the last day to connect with our partners in the AI Expo and Demo Hall.

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PyImageSearch

FEBRUARY 3, 2025

Gradio is an open-source Python library that empowers developers to build interactive web interfaces for their machine learning models, APIs, or any Python functions with ease. In essence, Gradio serves as a bridge between complex machine learning models and the non-technical users who can benefit from them.

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AWS Machine Learning Blog

MARCH 3, 2025

Prerequisites To run this demo, complete the following prerequisites: Create an AWS account , if you dont already have one. Under Application and OS Images (Amazon Machine Image) , select an AWS Deep Learning AMI that comes preconfigured with NVIDIA OSS driver and PyTorch. Amazon Linux 2). model=meta-llama/Llama-3.2-3B

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AWS Machine Learning Blog

NOVEMBER 19, 2024

As attendees circulate through the GAIZ, subject matter experts and Generative AI Innovation Center strategists will be on-hand to share insights, answer questions, present customer stories from an extensive catalog of reference demos, and provide personalized guidance for moving generative AI applications into production.

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ODSC - Open Data Science

MARCH 13, 2023

Looking forward If you’re interested in learning more about machine learning, Then check out ODSC East 2023 , where there will be a number of sessions as part of the machine & deep learning track that will cover the tools, strategies, platforms, and use cases you need to know to excel in the field.

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AWS Machine Learning Blog

FEBRUARY 19, 2024

DJL Serving is built on top of DJL , a deep learning library written in the Java programming language. It can take a deep learning model, several models, or workflows and make them available through an HTTP endpoint. This instructs DJLServing to use the Python engine. The serving.properties is shown as follows.

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AWS Machine Learning Blog

SEPTEMBER 1, 2023

We use Streamlit for the sample demo application UI. Option 1: Deploy a real-time streaming endpoint using an LMI container The LMI container is one of the Deep Learning Containers for large model inference hosted by SageMaker to facilitate hosting large language models (LLMs) on AWS infrastructure for low-latency inference use cases.

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ODSC - Open Data Science

APRIL 6, 2023

For budding data scientists and data analysts, there are mountains of information about why you should learn R over Python and the other way around. Though both are great to learn, what gets left out of the conversation is a simple yet powerful programming language that everyone in the data science world can agree on, SQL.

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DataRobot

FEBRUARY 10, 2021

Deep Learning for Coders with fastai and PyTorch: AI Applications Without a PhD by Jeremy Howard and Sylvain Gugger is a hands-on guide that helps people with little math background understand and use deep learning quickly. The following figure shows the Python code and how it led to data after November 2011.

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Mlearning.ai

MAY 25, 2023

Hey, guys in this blog we will see some of the Best Python mini projects that anyone can implement to make their Python game even stronger. Python is widely known for its simplicity and readability , making it an excellent choice for beginners and experienced developers alike. Working of our App [link] 2.

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AWS Machine Learning Blog

MARCH 20, 2023

In the context of deep learning, the predominant numerical format used for research and deployment has so far been 32-bit floating point, or FP32. However, the need for reduced bandwidth and compute requirements of deep learning models has driven research into using lower-precision numerical formats. 2xLarge-INT8 35.7

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Hacker News

SEPTEMBER 4, 2023

Such representations are called embeddings and are used extensively in deep learning, from language models to image generators. In the context of image compression, for example, rather than recording every pixel value, Neural Compression learns to identify critical features or visual patterns.

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ODSC - Open Data Science

MAY 23, 2023

Fortunately, ODSC Europe 2023 this June 14th-15th — both in-person and virtually — will be offering several opportunities for you to learn more about the AI products and services available today, as well as best practices for how to implement machine learning solutions in your organization. Delta & Databricks Make This A Reality!

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Mlearning.ai

JUNE 19, 2023

Hey, guys in this blog we will see some of the Best Python projects for beginners with source code that anyone can implement to make their Python game even stronger. By working on Python projects, beginners can apply their knowledge of Python and develop real-world applications that showcase their skills.

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Towards AI

JULY 21, 2023

Deep learning and semantic parsing, do we still care about information extraction? Where are those commonsense reasoning demos? CryptoHack – Home A fun platform to learn about cryptography through solving challenges and cracking insecure code. How are downstream tasks being used in the enterprise? So… where are we….

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ODSC - Open Data Science

AUGUST 8, 2023

Pre-Bootcamp On-Demand Training Before the conference, you’ll have access to on-demand, self-paced training on core skills like Python, SQL, and more from some of our acclaimed instructors. Day 1 will focus on introducing fundamental data science and AI skills.

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AWS Machine Learning Blog

SEPTEMBER 6, 2023

This feature is particularly beneficial for deep learning and generative AI models that require accelerated compute. It is recommended to run this example on a SageMaker notebook instance using the conda_python3 (Python 3.10.10) kernel. RUN pip install opencv-python-headless==4.7.0.68 RUN pip install matplotlib==3.6.3

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Towards AI

JULY 21, 2023

To further comment on Fury, for those looking to intern in the short term, we have a position available to work in an NLP deep learning project in the healthcare domain. A toolkit that allows the developer to dig deep into language models, in addition to dataset visualization. We do… huggingface.co What can it do?

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Flipboard

AUGUST 21, 2023

In the first segment of this tutorial, we will address the essential Python packages necessary for building our people counter on OAK. As we approach the culmination of this tutorial, we will define the primary Python driver script that integrates all the utilities and logic that have been developed. mp4 │ └── example_02.mp4

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AWS Machine Learning Blog

AUGUST 24, 2023

Today, we’re pleased to announce the preview of Amazon SageMaker Profiler , a capability of Amazon SageMaker that provides a detailed view into the AWS compute resources provisioned during training deep learning models on SageMaker. In this post, we walk you through the capabilities of SageMaker Profiler. gpu-py310-cu118-ubuntu20.04-sagemaker",

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ODSC - Open Data Science

FEBRUARY 8, 2024

Deep Learning with PyTorch and TensorFlow Dr. Jon Krohn | Chief Data Scientist | Nebula.io Jon Krohn, for an immersive introduction to Deep Learning that brings high-level theory to life with interactive examples featuring all three of the principal Python libraries, PyTorch, TensorFlow 2, and Keras.

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AWS Machine Learning Blog

DECEMBER 14, 2023

For the demo, we use simulated bank statements like the following example. In the demo, the pre-manifest file shows the following code: [ { 'pdf': 's3:// /data_aws_idp_workshop_data/bank_stmt_0.pdf', pdf', 'expected_entities': 's3:// /prelabeling-inputs/expected-entities/example-demo/fuzzymatching_version/file_bank_stmt_0.json'

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ODSC - Open Data Science

APRIL 10, 2023

Deep Learning with PyTorch and TensorFlow part 1 and 2 Dr. Jon Krohn | Chief Data Scientist | Nebula.io Introduction to scikit-learn: Machine Learning in Python Thomas J. Intermediate Machine Learning with scikit-learn: Pandas Interoperability, Categorical Data, Parameter Tuning, and Model Evaluation Thomas J.

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ODSC - Open Data Science

FEBRUARY 28, 2023

We couldn’t be more excited to announce our first group of partners for ODSC East 2023’s AI Expo and Demo Hall. Improving Operations and Infrastructure Taipy The inspiration for this open-source software for Python developers was the frustration felt by those who were trying, and struggling, to bring AI algorithms to end-users.

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Mlearning.ai

FEBRUARY 9, 2023

AI tools, such as ChatGPT and DALL-E, are developed with deep learning techniques. Deep learning is a subfield of AI that aims to extract knowledge from data through complex neural networks. Performing deep learning projects is difficult. Building a deep learning model takes both money and time.

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AWS Machine Learning Blog

NOVEMBER 8, 2023

MAPs can use both predefined and customized operators for DICOM image loading, series selection, model inference, and postprocessing We have developed a Python module using the AWS HealthImaging Python SDK Boto3. We have used a prebuilt container with Python 3.8 To create a SageMaker model, you will need to load a model.tar.gz

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Mlearning.ai

FEBRUARY 23, 2023

Read full article with demo here —  [link] GFPGAN aims to develop a Practical Algorithm for Real-world Face Restoration. GFPGAN (Generative Facial Prior-Generative Adversarial Network) GFPGAN is a deep-learning model that has shown great promise in restoring old images. So this is all for this blog folks.

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Mlearning.ai

AUGUST 28, 2023

I recently took the Azure Data Scientist Associate certification exam DP-100, thankfully I passed after about 3–4 months for studying the Microsoft Data Science Learning Path and the Coursera Microsoft Azure Data Scientist Associate Specialization. In this post, I go through a complete workflow for: [0] creating a .py csv data files.

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Data Science Dojo

JULY 26, 2023

Key features of PaLM 2 PaLM 2 is an exceptional language model equipped with commonsense reasoning capabilities, enabling it to draw inferences from extensive data and conduct valuable research in artificial intelligence, natural language processing, and machine learning.

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AWS Machine Learning Blog

JANUARY 25, 2023

Additionally, unlike non-deep-learning techniques such as nearest neighbor, Stable Diffusion takes into account the context of the image, using a textual prompt to guide the upscaling process. However, you can also use JumpStart models programmatically by using APIs that are integrated into the SageMaker Python SDK.

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AWS Machine Learning Blog

AUGUST 26, 2024

The Step Functions workflow has three steps: Convert the audio input to English text using Amazon Transcribe, an automatic speech-to-text AI service that uses deep learning for speech recognition. env_setup.cmd Prepare the sign video annotation file for each processing run: python prep_metadata.py

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ODSC - Open Data Science

MARCH 2, 2023

That’s because coding/programming skills such as R or Python allow you to collect, clean, and manipulate data while also providing avenues to build models or visualizations that allow you to communicate the meaning behind your data. But it’s not only the ability to work with data, it’s also about scaling your own abilities.

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