sadpasmgp Goto Github PK

ai-notes

notes for software engineers getting up to speed on new AI developments. Serves as datastore for https://latent.space writing, and product brainstorming, but has cleaned up canonical references under the /Resources folder.

als-recommender-pyspark

Recommender System is an information filtering tool that seeks to predict which product a user will like, and based on that, recommends a few products to the users. For example, Amazon can recommend new shopping items to buy, Netflix can recommend new movies to watch, and Google can recommend news that a user might be interested in. The two widely used approaches for building a recommender system are the content-based filtering (CBF) and collaborative filtering (CF).

ama_prompting

Ask Me Anything language model prompting

awesome-mlops

A curated list of references for MLOps

awesome-production-machine-learning

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

cloudbuild-demo

Using cloudbuild trigger to do a simple docker build with a github event like github push

cloudbuild-demo-ml

Demonstrate use of cloudbuild triggers to initiate Vertex AI pipeline run

cml-example-minimal

Continuous ML sample project

cognixia_datascience

Cognixia datascience training course

continuous-adaptation-with-vertexai-automl-pipeline

deeplearning.ai

deeplearning_using_tensorflow

build Deep Neural Networks models for different business domains with one of the most common machine learning library TensorFlow provided by Google AI team. main focus is on Keras. Focus on the advanced topics such as transfer learning, autoencoders, face recognition (including those models: VGG-Face, Google FaceNet, OpenFace and Facebook DeepFace).

deploying-machine-learning-models

Example Repo for the Udemy Course "Deployment of Machine Learning Models"

docker_in_a_nutshell

How to build dockerfile and use it to deploy apps.

dtu_mlops

Exercises and supplementary material for the machine learning operations course at DTU.

fraudfinder

Fraudfinder: A comprehensive lab series on how to build a real-time fraud detection system on Google Cloud

freebooks

All internet curated datascience books

gcp-essentials

Example gcloud statements and service info for GCP services

github-actions-pipeline

Trigger a Vertex AI pipeline with github actions

google-cloud-challenge-labs

Solutions of all challenge labs of Google Cloud Ready Facilitator Program

google_it_automation_cert

Automation certification

hands-on-machine-learning-for-algorithmic-trading

Hands-On Machine Learning for Algorithmic Trading, published by Packt

image_unblur

Sharp Image Deblurring

linalg_for_datascience

Linear Algebra essentials

linkedin_learnings

Micro courses from Linkedin

lp_courses

multiple courses

machine-learning-with-python

Python code for common Machine Learning Algorithms

machinelearning-a-z

All ML related courses with codes and solved exercises

mlops-basics

mlops-course

Learn how to design, develop, deploy and iterate on production-grade ML applications.