nikhilsanghi

amazon-sagemaker-developer-guide

The open source version of the Amazon SageMaker docs

amazon-sagemaker-examples

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

amazon-sagemaker-workshop

Amazon SageMaker workshops: Introduction, TensorFlow in SageMaker, and more

Dec-advanced

bla bla

DeepLearning.ai-Summary

This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.

dsml-june22-intermediate

examples-1

Jina examples and demos to help you get started

examples1

executor-simpleindexer

Simple Indexer based on mmap

Explaining_Model_using_What_If_Tool_on_GCP

feature-engineering-tutorials

Data Science Feature Engineering and Selection Tutorials

Fraud-Detection-on-BigQuery-ML

Fraud_Detection

Handwritten_form_using_Document_AI

helper_bash_files

Image_classification_squeenzenet_TPUs

jina

Cloud-native neural search framework for 𝙖𝙣𝙮 kind of data

maven-project

ML_models_for_ridership_gcp

multi

multires

oreilly_book

AI and Machine Learning with Kubeflow, Amazon EKS, and SageMaker

python-aiplatform

A Python SDK for Vertex AI, a fully managed, end-to-end platform for data science and machine learning.

PythonDataScienceHandbook

Python Data Science Handbook

quantstats

Portfolio analytics for quants, written in Python

sagemaker-python-sdk

A library for training and deploying machine learning models on Amazon SageMaker

sample_fast_api

Sept_beg_tue_oct_beg_tue

sept_beg_tue_oct_beg_tue1

translate_app_docker_cloud_run