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implementations of Recurrent Convolutional Neural Network for object recognition
R-CNN: Regions with Convolutional Neural Network Features
A list of papers on Generative Adversarial (Neural) Networks
Personal Information Exfiltration Detection Using Machine Learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
Python code for Reinforcement Learning: An Introduction
Market making via reinforcement learning
Python command-line tool that uses nearest neighbor search methods for malware similarity analysis
Code for an AI agent to solve Raven's Progressive Matrices using visual data.
🌲 Implementation of the Robust Random Cut Forest algorithm for anomaly detection on streams
My solution to the final project in Udacity's CS373 course - Artificial Intelligence for Robotics
Example project showing how you can use your fast.ai based scripts to let Amazon SageMaker perform the training and hosting of your models
Code for the Adzuna Salary Prediction Kaggle competition - http://www.kaggle.com/c/job-salary-prediction Placed 10th out of approximately 300 teams.
A bundle for SAS syntax for Macromates' TextMate
Lectures on scientific computing with python, as IPython notebooks.
A machine learning framework for multi-output/multi-label and stream data. Inspired by MOA and MEKA, following scikit-learn's philosophy.
SegPhrase working on Chinese and Arabic
A self-driving car simulator built with Unity
The implementation of the Seq2Seq model for web attack detection. The Seq2Seq model is usually used in Neural Machine Translation. The main goal of this project is to demonstrate the relevance of the NLP approach for web security.
Deploy any Machine Learning model serverless in AWS.
Public examples for the SKIL Platform (client examples, notebooks, etc). Versioned for each release.
Mirror of Apache Spark
Dataflow analysis & differential privacy for SQL queries
This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.
Programming exercises for the Stanford Unsupervised Feature Learning and Deep Learning Tutorial
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.