philip-bachman Goto Github PK
Name: Philip Bachman
Type: User
Company: McGill University
Location: Montreal
Name: Philip Bachman
Type: User
Company: McGill University
Location: Montreal
Public repo for Augmented Multiscale Deep InfoMax representation learning
Covariance Coding for Image Features
Code for ICML 2014 paper: "Sample-based Approximate Regularization"
Code for models in my ICML 2015 paper on VAEs, GSNs, etc.
Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on Theano and TensorFlow.
Repo for code for the NIPS paper entitled "An Architecture for Deep, Hierarchical Generative Models"
Code for algorithms and tests pertaining to sparse network basis learning
Code for a variety of approaches to learning classifiers via boosting
This code is for training feedforward neural networks with dropout.
The useful and used parts of NN-Dropout
Random notes on papers, likely a short-term repo.
code for performing pragmatic banditry
Materials for implementing and reproducing results in the NIPS paper.
Generative models and other stuff too, maybe, perhaps even probably
Assorted code fragments
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.