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amazon-sagemaker-examples

Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker

amazon-sagemaker-mlops-workshop

Machine Learning Ops Workshop with SageMaker: lab guides and materials.

ctci-solutions

Python solutions to Cracking the Coding Interview (6th edition)

deeplearningbook-notes

Notes on the Deep Learning book from Ian Goodfellow, Yoshua Bengio and Aaron Courville (2016)

features-selection

hummingbird

Hummingbird compiles trained ML models into tensor computation for faster inference.

leetcode

LeetCode Solutions: A Record of My Problem Solving Journey.( leetcode题解，记录自己的leetcode解题之路。)

leetcodeanimation

Demonstrate all the questions on LeetCode in the form of animation.（用动画的形式呈现解LeetCode题目的思路）

lightning_lr_find

Finding good LR in PyTorch Lightning

lstm

Using LSTM and CSI based amplitude for multi-class human activities

pythondatasciencehandbook

Python Data Science Handbook: full text in Jupyter Notebooks

reverse-interview

Questions to ask the company during your interview

serverless-sagemaker-orchestration

This example shows how to build a serverless pipeline to orchestrate the continuous training and deployment of a linear regression model for predicting housing prices using Amazon SageMaker, AWS Step Functions, AWS Lambda, and Amazon CloudWatch Events.

tensorflow-examples

TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

xla

Enabling PyTorch on Google TPU