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abagail

The library contains a number of interconnected Java packages that implement machine learning and artificial intelligence algorithms. These are artificial intelligence algorithms implemented for the kind of people that like to implement algorithms themselves.

aws-sagemaker-mlops

End-to-end machine learning (ML) workflows (MLOPs) using Amazon SageMaker Pipelines, Amazon SageMaker Model Registry, and Amazon SageMaker Clarify.

bioinformatic-algorithm

core_java

a core Java tutorial

cs6250

cs6300_a2_try2

Assignment 2 try 2

cs6300_assignment2

try git

dstoolkit-mlops-databricks

ML Ops Accelerator: Databricks & Azure Machine Learning Unification

flight_delay_prediction_web_app

A big data web application to predict USA airline traffic delay with Python, Flask, Apache Spark, Kafka, MongoDB, ElasticSearch, d3.js, scikit-learn, MLlib and Apache Airflow.

fsdl-text-recognizer-2022-labs

Complete deep learning project developed in Full Stack Deep Learning, 2022 edition. Generated automatically from https://github.com/full-stack-deep-learning/fsdl-text-recognizer-2022

gcp-vertex-mlops

A reference implementation of Vertex Pipelines for creating a production-ready MLOps solution on Google Cloud.

generative-ai-for-beginners

18 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/

github-slideshow

A robot powered training repository :robot:

h2ogpt

Private Q&A and summarization of documents+images or chat with local GPT, 100% private, Apache 2.0. Supports LLaMa2, llama.cpp, and more. Demo: https://gpt.h2o.ai/

hello-world

first repository!

leetcode

Python solutions to leetcode problems

llm_apps

A playground of trying out LLM applications

machine_learning

Udacity-Intro Machine Learning

machine_learning_projects

Python & R Data Science Projects

mlops-chicken-disease-classifier

Implementation of an end to end Deep Learning project using MLOps tools such as DVC along with the deployment using Github action in GCP, Azure and AWS cloud

promptflow

Build high-quality LLM apps - from prototyping, testing to production deployment and monitoring.

python-machine-learning-book-2nd-edition

The "Python Machine Learning (2nd edition)" book code repository and info resource

python_algorithms

Data structure and algorithms in Python

rag-llm-applications

A comprehensive guide to building RAG-based LLM applications for production.

sec-insights

A real world full-stack application using LlamaIndex

txt2hpo

Python library for extracting HPO encoded phenotypes from text

ud120-projects

Starter project code for students taking Udacity ud120

voila

Voilà turns Jupyter notebooks into standalone web applications