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This repository contains the 3D shapes dataset, used in Kim, Hyunjik and Mnih, Andriy. "Disentangling by Factorising." In Proceedings of the 35th International Conference on Machine Learning (ICML). 2018. to assess the disentanglement properties of unsupervised learning methods.
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
An adversarial example library for constructing attacks, building defenses, and benchmarking both
A blog which talks about machine learning, deep learning algorithms and the Math. and Machine learning algorithms written from scratch.
A simple and accurate method to fool deep neural networks
A collection of various deep learning architectures, models, and tips
Kaggle's competition for using Google's word2vec package for sentiment analysis
disentanglement_lib is an open-source library for research on learning disentangled representations.
TensorFlow documentation
List of Data Science Cheatsheets to rule the world
Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, Keras, …
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
learning javascript
Official Kaggle API
This is the code for the Kaggle Earthquake Challenge by Siraj Raval on Youtube
Logistic regression from scratch with NumPy
It uses machine learning models (Multinomial NB & SVM) to predict whether the email is spam or ligitimate on two corpus namely Ling-spam corpus and Euron-spam corpus.
Code for the IEEE S&P 2018 paper 'Manipulating Machine Learning: Poisoning Attacks and Countermeasures for Regression Learning'
Inference code and trained models for "Learning the Depths of Moving People by Watching Frozen People."
The Mathematics of Deep Learning, SIPB IAP 2018
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.