kennethzhu88 Goto Github PK
Name: Kenneth Zhu
Type: User
Bio: Data Scientist x Software Engineer
Location: Singapore
Name: Kenneth Zhu
Type: User
Bio: Data Scientist x Software Engineer
Location: Singapore
Anomaly detection related books, papers, videos and toolboxes
A curated list of awesome architecture search resources
A curated list of awesome computer vision resources
A curated list of references for MLOps
bitcoin-order-app
CatBoost is an open-source gradient boosting on decision trees library with categorical features support out of the box for Python, R
A complete computer science study plan to become a software engineer.
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
《21个项目玩转深度学习———基于TensorFlow的实践详解》配套代码
Deep Learning Specialization by Andrew Ng on Coursera.
How to predict credit defaulting?
A collection of various deep learning architectures, models, and tips
deeplearning.ai(吴恩达老师的深度学习课程笔记及资源)
Deep learning classical paper deposit
Face recognition using Tensorflow
Fast, parallel implementations of tSNE
Data Science Resources (Mostly Free)
gitmerge-workshop
通过 MXNet / Gluon 来动手学习深度学习
Course materials for Georgia Tech CS 4650 and 7650, "Natural Language"
Open Source Fast Scalable Machine Learning Platform For Smarter Applications (Deep Learning, Gradient Boosting, Random Forest, Generalized Linear Modeling (Logistic Regression, Elastic Net), K-Means, PCA, Stacked Ensembles, Automatic Machine Learning (AutoML), ...)
Run Hadoop Custer within Docker Containers
Mirror of Apache Toree (Incubating)
Jupyter metapackage for installation, docs and chat
Multi-user server for Jupyter notebooks
Jupyter notebooks and code examples for my Kaggle Beginners' Guide.
Deep Learning for humans
Oxford Deep NLP 2017 course
A fast, distributed, high performance gradient boosting (GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks. It is under the umbrella of the DMTK(http://github.com/microsoft/dmtk) project of Microsoft.
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.