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Name: Federico Vaggi
Type: User
Company: Google X
Twitter: F_Vaggi
Location: Seattle
Name: Federico Vaggi
Type: User
Company: Google X
Twitter: F_Vaggi
Location: Seattle
A tensorflow implementation of google's AC-GAN ( Auxiliary Classifier GAN ).
Adaptive Skip-gram implementation in Julia
Deep generative models for semi-supervised learning.
BlackJAX is a sampling library designed for ease of use, speed and modularity.
Code used to implement the matchmaking procedure described in Vaggi et al, 2014.
A Python library for mathematical optimization
Image Completion with Deep Learning in TensorFlow
A tensorflow implementation of Deep Convolutional Generative Adversarial Networks
Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable.
A unified ensemble framework for PyTorch to improve the performance and robustness of your deep learning model.
Code for the paper "Feature Grouping as a Stochastic Regularizer for High-Dimensional Structured Data" at ICML 2019.
My Blog
code for the paper "Improved Techniques for Training GANs"
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
Journal Club on AdaBoost Paper July 13, 2017
Learning Julia with Advent of Code
Large-scale linear classification, regression and ranking in Python
Models built with TensorFlow
Official NetworkX source code repository.
numericalunits python package
Simplified version of the Facebook Prophet model re-implemented in PyMC3
Automatically exported from code.google.com/p/proxmap-mm
Github copy of Andrea Gavana's implementation of AmpGO
PyDSTool main development repo
An in-memory LRU cache for python
Code for replication of the paper "The relativistic discriminator: a key element missing from standard GAN"
scikit-learn: machine learning in Python
Some attempts at using meta-programming and Julia for automatic derivation of sensitivity equations.
Implementation of Sequence Generative Adversarial Nets with Policy Gradient
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.