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Name: Steve Li
Type: User
Bio: A PhD graduated with strong math, engineering and computer programming skills focused on machine learning tools
Location: Charlotte, NC
Name: Steve Li
Type: User
Bio: A PhD graduated with strong math, engineering and computer programming skills focused on machine learning tools
Location: Charlotte, NC
2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
Automated Machine Learning with scikit-learn
XGBoost + Optuna
Pandas on AWS - Easy integration with Athena, Glue, Redshift, Timestream, QuickSight, Chime, CloudWatchLogs, DynamoDB, EMR, SecretManager, PostgreSQL, MySQL, SQLServer and S3 (Parquet, CSV, JSON and EXCEL).
TensorFlow code and pre-trained models for BERT
Starter kit for H2O.ai competition Challenge Wildfires.
Essential Cheat Sheets for deep learning and machine learning researchers https://medium.com/@kailashahirwar/essential-cheat-sheets-for-machine-learning-and-deep-learning-researchers-efb6a8ebd2e5
Salary challenge for office hours
A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep
To predict whether a credit card transaction is fraud or genuine
Jupyter notebooks for using & learning Keras
深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,50余万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系[email protected] 版权所有,违权必究 Tan 2018.06
collection of Postman objects for Dremio
List of Data Science Cheatsheets to rule the world
My solution to the book A Collection of Data Science Take-Home Challenges
The fastai book, published as Jupyter Notebooks
Library for fast text representation and classification.
A fast and lightweight AutoML library.
Code from my series of articles on Flask
Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries
面试题
2019年最新总结,阿里,腾讯,百度,美团,头条等技术面试题目,以及答案,专家出题人分析汇总。
关于Python的面试题
Lime: Explaining the predictions of any machine learning classifier
Implementing a ChatGPT-like LLM in PyTorch from scratch, step by step
:speech_balloon: Machine Learning Course with Python. Refer to the course page for step-by-step explanations.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.