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Python library for adversarial machine learning (evasion, extraction, poisoning, verification, certification) with attacks and defences for neural networks, logistic regression, decision trees, SVM, gradient boosted trees, Gaussian processes and more with multiple framework support
Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker
:books: List of awesome university courses for learning Computer Science!
:memo: An awesome Data Science repository to learn and apply for real world problems.
A curated list of awesome Deep Learning tutorials, projects and communities.
A curated list of awesome Machine Learning frameworks, libraries and software.
A collection of awesome things regarding React ecosystem.
Catalog of React Components & Libraries
Awesome React Native components, news, tools, and learning material!
Recurrent Neural Network - A curated list of resources dedicated to RNN
Free resources for learning Full Stack Web Development
Native AngularJS (Angular) directives for Bootstrap. Smaller footprint (20kB gzipped), no 3rd party JS dependencies (jQuery, bootstrap JS) required. Please read the README.md file before submitting an issue!
Sample code for Channel 9 Python for Beginners course
Caffe: a fast open framework for deep learning.
Essential Cheat Sheets for deep learning and machine learning researchers
Big Data ETL and Utilities for Hadoop Map Reduce and Storm
Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit
[DEPRECATED] See the new edition:
Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1
Ipython notebook presentations for getting starting with basic programming, statistics and machine learning techniques
A curated list of data science blogs
Career Resources for Data Science, Machine Learning, Big Data and Business Analytics Career Repository
Goal of this repo is to provide the solutions of all Data Science Competitions(Kaggle, Data Hack, Machine Hack, Driven Data etc...).
Continually updated data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines. https://bit.ly/data-notes
common data analysis and machine learning tasks using python
a curated list of R tutorials for Data Science, NLP and Machine Learning
Open Source Data Science Resources.
http://DataScienceSpecialization.github.io
Deep learning in Python
A TensorFlow implementation of Baidu's DeepSpeech architecture
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.