ODSC - Open Data Science

OCTOBER 19, 2023

Trending AI GitHub Repos: Week of October 9, 2023 This week’s trending GitHub AI repos have been highlighted by tools that streamline LLMs, integrate GPT models, and store data.

AI 97

AI AI Citizen Data Scientist Data Science 97

phData

OCTOBER 27, 2023

Setup The demo is available in this repo. Make sure you clone the repo onto your machine to follow along. Conclusion In this blog/demo, we explored how to create batch feature engineering pipelines with Airflow and dbt on Snowflake using Feast as the feature store.

Machine Learning 52

Machine Learning Machine Learning Python ML 52

AWS Machine Learning Blog

APRIL 4, 2023

We explore how to extract characteristics, also called features , from time series data using the TSFresh library —a Python package for computing a large number of time series characteristics—and perform clustering using the K-Means algorithm implemented in the scikit-learn library. UCI Machine Learning Repository: [link].

Clustering 82

Clustering ML ML AWS 82

AWS Machine Learning Blog

DECEMBER 13, 2023

AWS CodeStar connection – We use AWS CodeStar to establish a link with the GitHub repository and utilize it as code repo integration with AWS resources, like SageMaker Studio. Clone the GitHub repository You can reuse an existing GitHub repo for this example. The relevant code sample for this can be found in the following GitHub repo.

AWS 103

AWS ML ML Data Preparation 103

Mlearning.ai

JULY 13, 2023

link] In this article, I explore an approach to generating ambigrams using deep learning techniques. Check out full code in my github repo. Github Repo: [link] Shoulders of Giants DiffSVG: [link] Word-As-Image: [link] EazyOCR: [link] WRITER at MLearning.ai // Code Interpreter // Jailbreaking GPT-4! The output is a svg file.

Deep Learning 52

Deep Learning Deep Learning ML ML 52

AWS Machine Learning Blog

DECEMBER 14, 2023

To address the challenge of prompt engineering, the industry has explored various approaches: Prompt libraries – Some companies curate libraries of pre-written prompts that you can access and customize. She spends most of her spare time with her daughter exploring the nature of Pacific Northwest.

AWS 97

AWS Natural Language Processing Database ML 97

ODSC - Open Data Science

JANUARY 11, 2024

AI’s Impact on Businesses in 2024 by Use Case Here, we’ll explore a few different AI use cases, such as implementing generative AI and improved analytics, and how your business can gain an advantage by using AI. Take a deep dive into challenges, solutions, and opportunities with leading experts over food and drink!

Data Engineering 52

Data Engineering Data Engineer Data Engineering Data Engineering 52

ODSC - Open Data Science

MARCH 7, 2023

Now, she has the choice to specify: The branch of the repo (default is main). By simply sharing the GitHub repo link with the workshop audience, Tracey can provide her attendees with the same environment she is using, with the only requirement of having a GitHub account. Explore the documentation to learn more.

Python 98

Python Data Science Data Scientist Data Visualization 98

ODSC - Open Data Science

DECEMBER 28, 2023

The Top Large Language Models of 2023, 8 Python Libraries You Should be Using, and Why You Need an Observability Platform The Top Large Language Models Going Into 2024 Let’s explore the top large language models that made waves in 2023, and see why you should be using these LLMs in 2024.

Python 52

Python Data Science Machine Learning Machine Learning 52

Mlearning.ai

FEBRUARY 21, 2023

During this tutorial, we will explore how to supercharge Large Language Models (LLMs) with LangChain. All the code for this tutorial can be found in this GitHub repo. Note: In a future tutorial we will explore how we can use other LLMs besides OpenAI’s GPT-3 and test their performance. Why is it important?

Database 52

Database Natural Language Processing Machine Learning Machine Learning 52

DagsHub

SEPTEMBER 5, 2023

Let’s explore how the same tools that helped us in building a continuous training pipeline - Amazon SageMaker, Dagshub, and MLFlow - can help us in Deploying a model. You can find the specific MLflow configurations for your repository in the remote section of your repo. Endless opportunities await, go forth and explore.

AWS 98

AWS Machine Learning Machine Learning ML 98

DrivenData Labs

JANUARY 11, 2023

The goal of the Mars Spectrometry 2: Gas Chromatography Challenge was to build a model to automatically analyze gas chromatography–mass spectrometry (GCMS) data collected for Mars exploration. All bonus prize write-ups are available alongside the winners' code in the winners' repo. The NASA Mars Curiosity rover.

Deep Learning 130

Deep Learning Deep Learning Machine Learning Machine Learning 130

DrivenData Labs

DECEMBER 13, 2022

The goal of this benchmark is to: Demonstrate how to explore and work with the data Provide a basic framework for building a model Demonstrate how to package your work correctly for submission You can either expand on and improve this benchmark, or start with something completely different! This is a very simple way to choose the best image.

ML 130

ML ML Python Deep Learning 130

AWS Machine Learning Blog

APRIL 8, 2024

In this post, we explore how to harness the power of LlamaIndex , Llama 2-70B-Chat , and LangChain to build powerful Q&A applications. All the code in this post is available in the GitHub repo. You can find the end-to-end implementation code in the accompanying GitHub repo. Query the knowledge base.

AWS 102

AWS Machine Learning Machine Learning Natural Language Processing 102

Mlearning.ai

JULY 29, 2023

INTRODUCTION Recently I had the pleasure to explore different options to automate a daily ML inference job, which reads raw data from a database table and write the inference results to another table. So getting the codes from your remote repo is a breeze. ML inference written to the resignated table).

Azure 52

Azure Machine Learning Machine Learning ML 52

AWS Machine Learning Blog

NOVEMBER 7, 2023

In this post, we explore how RAG combined with Amazon Kendra or custom embeddings can overcome these challenges and provide refined responses to natural language queries. We have provided this demo in the GitHub repo. We have provided this demo in the GitHub repo. We have provided this demo in the GitHub repo.

AWS 97

AWS AI AI Database 97

Towards AI

FEBRUARY 21, 2024

Enter ML Conference Paper Explorer: your sidekick in navigating the ML paper maze with ease. Data Storage: Important paper details — title, abstract, authors, URL, year, and conference name — are saved in a JSON file in the repo (papers_repo.json), ready for quick keyword searches and filtering.

ML 107

ML ML Machine Learning Machine Learning 107

phData

FEBRUARY 10, 2023

To retrieve the project, start by cloning the repo here. Once that repo is cloned, the property “profile” in dbt_project.yml will need to be updated to reflect the profile created in ~/.dbt/profiles.yml. This post will take that project and modify it to add some review data on the orders (sourced from Kaggle ). dbt/profiles.yml.

Python 59

Python Machine Learning Machine Learning SQL 59

AWS Machine Learning Blog

SEPTEMBER 7, 2023

This approach does not require interaction with the process directly in an exploration stage, which removes one of the barriers for the adoption of reinforcement learning in safety-critical applications. sudo yum install jq cd utils sh generate_mock_data.sh

AWS 97

AWS Machine Learning Machine Learning Natural Language Processing 97

Heartbeat

JANUARY 19, 2024

Source: unsplash I wrote an article on how you can explore your data with YOLOPandas and Comet, and you can find the article here. As prompt engineering is fundamentally different from training machine learning models, Comet has released a new SDK tailored for this use case comet-llm. Check out the Comet LLMOps tool.

Machine Learning 52

Machine Learning Machine Learning ML ML 52

Mlearning.ai

JULY 24, 2023

Here are two classes I used in this project that helped me explore concepts like constructors (initialize attributes), inheritance (properties can be shared between a class and subclass(es)), and polymorphism (multiple objects can be called if they share a common method).

Machine Learning 52

Machine Learning Machine Learning Python Data Analysis 52

AWS Machine Learning Blog

MAY 19, 2023

After exploring models available in the Hugging Face model hub, we chose to use the OFA model because as described by the authors, it is “a task-agnostic and modality-agnostic framework that supports Task Comprehensiveness”. The notebook in this repo is an excellent guide to deploy the OFA large model in a Jupyter notebook in SageMaker.

AWS 90

AWS Machine Learning Machine Learning AI 90

Applied Data Science

OCTOBER 16, 2021

Data We can calculate both of these quantities statistically, using the Lichess opening explorer API to grab data from online Lichess games. O-O To take the challenge, start by cloning the repo and following the instructions in the README ?. Potency How likely is the player to lose after they have fallen into the trap? Nxe5 Nc6 4.

Data Science 130

Data Science Python AWS AI 130

AWS Machine Learning Blog

SEPTEMBER 19, 2023

Data exploration on stock data is done using Athena. To dive deeper into the solution and code for all the steps shown here, refer to the GitHub repo. AWS Identity and Access Management (IAM) policies are also required, the details which you can find in the GitHub repo. The source is Retrieve_Kendra and PythonREPLTool().

AWS 105

AWS AI AI ML 105

AWS Machine Learning Blog

MAY 9, 2023

Refer to the GitHub repo for more deployment details. Deploy the solution architecture To set up the solution, complete the following steps: Clone the GitHub repo , run cdk deploy PdfMapperToFhirWorkflow from your command prompt or terminal and follow the README file.

AWS 70

AWS Natural Language Processing ML ML 70

AWS Machine Learning Blog

NOVEMBER 15, 2023

After providing the dataset, SageMaker Autopilot automatically explores different solutions to find the best model. This post shows how to create a custom-made AutoML workflow on Amazon SageMaker using Amazon SageMaker Automatic Model Tuning with sample code available in a GitHub repo.

Algorithm 89

Algorithm AWS ML ML 89

AWS Machine Learning Blog

JANUARY 22, 2024

Use the Queries feature on the Amazon Textract console Before you build the vaccination verification solution, let’s explore how you can use Amazon Textract Queries to extract vaccination status via the Amazon Textract console. You can use the vaccination card sample you downloaded from the GitHub repo.

AWS 102

AWS ML ML Machine Learning 102

AWS Machine Learning Blog

NOVEMBER 13, 2023

Refer to the GitHub repo for the full implementation code. Her passion is exploring how generative AI can solve real-world problems and create value for customers. To learn more about traditional RAG use cases, refer to Question answering using Retrieval Augmented Generation with foundation models in Amazon SageMaker JumpStart.

AWS 98

AWS AI AI Data Scientist 98

ODSC - Open Data Science

MARCH 8, 2024

This project aims to create a simple and scalable repo, to reproduce Sora. The Open-Sora Plan project ‘s aim is to reproduce OpenAI’s Sora. Sora is a generative AI model that creates realistic videos based on prompt descriptions. raised $600M from private investors.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence AI AI 52

AWS Machine Learning Blog

MARCH 1, 2024

When exploring AWS CCI capabilities with Amazon Lex and Genesys Cloud, you may be unsure of where to start on your bot design journey. Download the GitHub repo and unzip to your directory. In his free time, he enjoys spending quality time with his family exploring new places and over analyzing his sports team’s performance.

AWS 98

AWS ML ML Analytics 98

Flipboard

NOVEMBER 30, 2023

1 DLC and pushed to personal ECR repo image_uri = ".dkr.ecr.us-west-2.amazonaws.com/my-byoc:xgb" In her spare time, she loves to explore nature and spend time with family and friends. In his spare time, he enjoys traveling and exploring new places. its "predict" method will be invoked in the endpoint.

ML 128

ML ML AWS Python 128

AWS Machine Learning Blog

SEPTEMBER 22, 2023

In this blog post, we illustrate how RLHF can be performed on Amazon SageMaker by conducting an experiment with the popular, open-sourced RLHF repo Trlx. Since training the reward model is not the focus of this post, we will use a pre-trained reward model specified in the Trlx repo, the Dahoas/gptj-rm-static. When was Canada colonized?

AWS 101

AWS Machine Learning Machine Learning Computer Science 101

AWS Machine Learning Blog

JANUARY 16, 2024

In this post, we embark on an exploration of SageMaker’s capabilities, specifically focusing on hosting Whisper models. The exploration encompassed various inference options on Amazon SageMaker, offering insights into efficiently handling audio data, making predictions, and managing costs effectively.

Python 105

Python Machine Learning Machine Learning AWS 105

Mlearning.ai

APRIL 21, 2023

There are many ways we can do this conversion but I tell you what I have explored. The resulting annotated text data can then be used to train and improve the accuracy of LLM models for specific natural language processing tasks. Let's convert our raw data into SQuAD format. then bring all stuff to a common folder.

Natural Language Processing 52

Natural Language Processing Supervised Learning Machine Learning Machine Learning 52

AWS Machine Learning Blog

JANUARY 30, 2023

This post explores using Forecast to address this use case by using historical time series data. Download data files from the GitHub repo and upload to the newly created S3 bucket. To set up your analysis, choose Explore what-if analysis on the dashboard. For instructions, refer to Create your first S3 bucket. Choose Create.

ML 66

ML ML AWS System Architecture 66

IBM Journey to AI blog

JULY 18, 2023

In this blog post, we explore the practical implementation of utilizing Terraform on IBM Cloud to create and manage secrets by seamlessly integrating your IBM Cloud Kubernetes Service with IBM Cloud Secrets Manager. files from the example repo. Run terraform init in your directory. Copy the main.tf and output.tf

Clustering 56

Clustering 56

AWS Machine Learning Blog

MAY 10, 2023

For more details, refer to the GitHub repo. In his free time, he enjoys exploring music and traveling. This service compares the performance of your ML model in terms of latency and cost on different instances and recommends the instance and configuration that gives the best performance for the lowest cost.

AWS 78

AWS ML ML Machine Learning 78