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Name: jzhou86
Type: User
Name: jzhou86
Type: User
100 Days of ML Coding
Apache Airflow tutorial
Blog post on ETL pipelines with Airflow
:memo: An awesome Data Science repository to learn and apply for real world problems.
CPU simulation framework for CS520 (Binghamton University, Graduate Computer Architecture)
Best practices of using Spark for practicing data scientists in the context of a data scientist’s standard workflow.
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
A collection of various deep learning architectures, models, and tips
Deep Learning NLP Pipeline implemented on Tensorflow
Code repo for the book "Feature Engineering for Machine Learning," by Alice Zheng and Amanda Casari, O'Reilly 2018
Sentiment analysis
Codes for Kaggle Competitions
A repository for some of the code I use in kaggle data science & machine learning tasks.
There are plenty of courses and tutorials that can help you learn machine learning from scratch but here in GitHub, I want to solve some Kaggle competitions as a comprehensive workflow with python packages. After reading, you can use this workflow to solve other real problems and use it as a template.
Collection of LeetCode questions to ace the coding interview! - Created using [LeetHub](https://github.com/QasimWani/LeetHub).
Automatically sync your leetcode solutions to your github account - top 5 trending GitHub repository
Sentiment Analysis with LSTMs in Tensorflow
LSTM-RNN Tutorial with LSTM and RNN Tutorial with Demo with Demo Projects such as Stock/Bitcoin Time Series Prediction, Sentiment Analysis, Music Generation using Keras-Tensorflow
Python code for common Machine Learning Algorithms
Open Machine Learning Course
Apache NiFi
YSDA course in Natural Language Processing
Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.
Python Data Science Handbook: full text in Jupyter Notebooks
Learning note & practice
VIP cheatsheets for Stanford's CS 229 Machine Learning
Simple and ready-to-use tutorials for TensorFlow
Practical tutorials and labs for TensorFlow used by Nvidia, FFN, CNN, RNN, Kaggle, AE
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.