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Name: Peter Henderson
Type: User
Bio: Currently at Stanford University.
Name: Peter Henderson
Type: User
Bio: Currently at Stanford University.
A pytorch implementation of Reading Wikipedia to Answer Open-Domain Questions.
Android Mesh Networking Chat with WiFI-Direct
This is the laptop client to to connect to echo nodes
A proof of concept sandbox for developing a Chaotically Randomized execution program on an Arduino Uno
Presentation for reading group on Levine et al. End-to-end Learning of Visuomotor Policies
Accounting Fraud Detection Using Machine Learning
A Sandbox for experimentation with genetic algorithms. First is one to determine sorting
This repo is intended as an extension for OpenAI Gym for auxiliary tasks (multitask learning, transfer learning, inverse reinforcement learning, etc.)
Repository for the paper "Automated Hate Speech Detection and the Problem of Offensive Language", ICWSM 2017
Custom tap for Homebrew recipes that might be useful that aren't in the core.
A starter using @SPF13's ported Hyde Theme for Hugo and Forestry as a Content Manager. Demo Site:
A scalable simulator for evaluating the performance of in-network caches in Information Centric Networking (ICN)
Imitation Learning in Deep RL
I re-implemented a semi-supervised recursive autoencoder in java. I think it is a pretty nice technique. Check it out! Or fork it
An attempt to use deep learning to estimate left ventricle size from fMRI image slices.
An open science effort to benchmark legal reasoning in foundation models
C++ library and Python bindings for the Music Encoding Initiative format
Lab Notebook - Source Version
Team Gredona's submission for the 2012 McGill Codejam. Algorithmic trading platform for Morgan Stanley's Electronic Trading Group. Implemented in Java.
Media Stream
A Java (and parts of a C++ in wrongly named java-impl branch) trial in TDD for making a mini version of the terminal dc calculator
Implementation of TRPO and related algorithms
A project on motion detection in a noisy environment (shaky or moving camera), through background subtraction with single Gaussian models.
Here, we compare Q(\sigma) learning presented by Sutton and Barto in [1] to Tree-Backup, n-step Expected Sarsa, and n-step Sarsa.
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.