kenhehuang

Pinned Repositories

100-Days-Of-ML-Code
100 Days of ML Coding
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amazon-sagemaker-examples
Example notebooks that show how to apply machine learning and deep learning in Amazon SageMaker
Language:Jupyter Notebook0 2 00
amazon-sagemaker-workshop
Amazon SageMaker workshop lab guides and materials
Language:Jupyter Notebook0 2 00
Awesome-Android-Interview
:fire: A awesome android expert interview questions and answers（continuous updating ...）
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Awesome-pytorch-list
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
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awesome-tensorflow
TensorFlow - A curated list of dedicated resources http://tensorflow.org
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aws-ai-qna-bot
Code samples related to "Creating a Question and Answer Bot with Amazon Lex and Amazon Alexa", published on the AWS AI Blog. QnABot (pronounced “Q and A Bot”), uses Amazon Lex and Amazon Alexa to provide a conversational interface to your “Questions and Answers”, so users can just ask their questions and get quick and relevant answers.
Language:JavaScript0 1 00
aws-ml-data-lake-workshop
As customers move from building data lakes and analytics on AWS to building machine learning solutions, one of their biggest challenges is getting visibility into their data for feature engineering and data format conversions for using AWS SageMaker. In this workshop, we demonstrate best practices and build data pipelines for training data using Amazon Kinesis Data Firehose, AWS Glue, and Amazon SageMaker, and then we use Amazon SageMaker for inference.
Language:Python0 2 00
aws-nlp-workshop
Natural Language Processing on AWS Workshop
Language:Jupyter Notebook0 2 00

kenhehuang's Repositories

kenhehuang/Awesome-Android-Interview
:fire: A awesome android expert interview questions and answers（continuous updating ...）
0 1 00
kenhehuang/BestNote
:punch: 持续更新，Java Android 近几年最全面的技术点以及面试题供自己学习使用
1 0
kenhehuang/C-Plus-Plus
Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes.
Language:C++1 0
kenhehuang/coding-interview-university
A complete computer science study plan to become a software engineer.
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kenhehuang/Coursera-ML-AndrewNg-Notes
吴恩达老师的机器学习课程个人笔记
Language:HTML1 0
kenhehuang/d2l-zh
《动手学深度学习》，英文版即伯克利深度学习（STAT 157，2019春）教材。面向中文读者、能运行、可讨论。
Language:Python1 0
kenhehuang/DataStructures-Algorithms
The best library for implementation of all Data Structures and Algorithms - Trees + Graph Algorithms too!
Language:C++0 0
kenhehuang/deeplearningbook-chinese
Deep Learning Book Chinese Translation
Language:TeX0 0
kenhehuang/facets
Visualizations for machine learning datasets
Language:Jupyter Notebook1 0
kenhehuang/grokking-system-design
Grokking system design
kenhehuang/horovod
Distributed training framework for TensorFlow, Keras, and PyTorch.
Language:C++2 0
kenhehuang/interview
📚 C/C++ 技术面试基础知识总结，包括语言、程序库、数据结构、算法、系统、网络、链接装载库等知识及面试经验、招聘、内推等信息。This repository is a summary of the basic knowledge of recruiting job seekers and beginners in the direction of C/C++ technology, including language, program library, data structure, algorithm, system, network, link loading library, interview experience, recruitment, recommendation, etc.
Language:C++1 0
kenhehuang/interview-1
笔试面试知识整理
Language:Shell0 0
kenhehuang/interviews
Everything you need to know to get the job.
Language:Java1 0
kenhehuang/leetcode
👏🏻 leetcode solutions for Humans™
Language:Python0 0
kenhehuang/LeetCode-Sol-Res
Clean, Understandable Solutions and Resources for LeetCode Online Judge Algorithm Problems.
Language:Java0 0
kenhehuang/LeetCode-Solutions
:octocat: (Weekly Update) Python / C++11 Solutions of All 1521 LeetCode Problems
Language:C++1 0
kenhehuang/magenta
Magenta: Music and Art Generation with Machine Intelligence
Language:Python2 0
kenhehuang/notes
detailed notes on computer science topics, in one page
1 0
kenhehuang/ParlAI
A framework for training and evaluating AI models on a variety of openly available dialog datasets.
Language:Python2 0
kenhehuang/practicalAI
A practical approach to learning machine learning.
Language:Jupyter Notebook2 0
kenhehuang/pyro
Deep universal probabilistic programming with Python and PyTorch
Language:Python2 0
kenhehuang/pytorch-CycleGAN-and-pix2pix
Image-to-image translation in PyTorch (e.g., horse2zebra, edges2cats, and more)
Language:Python2 0
kenhehuang/sre-interview-prep-guide
Site Reliability Engineer Interview Preparation Guide
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kenhehuang/system-design-interview
System design interview for IT companies
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kenhehuang/System-Design-Interview-Questions
A curated list of System Design interview questions for SDE-1 (Experienced),SDE-2 and above.
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kenhehuang/system-design-primer
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
Language:Python0 0
kenhehuang/system_design
Preparation links and resources for system design questions
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kenhehuang/tech-interview-handbook
💯 Algorithms study materials, behavioral content and tips for rocking your coding interview
Language:JavaScript1 0
kenhehuang/what-happens-when-zh_CN
What-happens-when 的中文翻译，原仓库 https://github.com/alex/what-happens-when
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