Sheheryar's repositories
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)
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
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