yanndupis Goto Github PK
Name: Yann Dupis
Type: User
Company: @capeprivacy @tf-encrypted
Bio: Machine Learning Engineer / Privacy Researcher
Location: San Francisco
Name: Yann Dupis
Type: User
Company: @capeprivacy @tf-encrypted
Bio: Machine Learning Engineer / Privacy Researcher
Location: San Francisco
🎤 An experiment in lyric generation using Markov Chains
Designed an A/B test, including which metrics to measure and how long the test should be run. I also analyzed the results of an A/B test that was run by Udacity, recommended a decision, and proposed a follow-up experiment.
Used data science techniques to answer questions and draw conclusions about subway and weather data for New York City.
:atom: The hackable text editor
Trained and tested several supervised machine learning models on a given dataset to predict how likely a student is to pass.
A centralized service with a goal of becoming obsolete.
Use unsupervised learning techniques to see if any similarities exist between customers, and how to best segment customers into distinct categories.
In this exploratory analysis we will explore a dataset from the company Prosper, who is part of the peer-to-peer lending industry.
Generative adversarial networks to generate new images of faces
Flax is a neural network library for JAX that is designed for flexibility.
Identified which Enron employees are more likely to have committed fraud using machine learning and public Enron financial and email data.
Convolutional neural network to classify images from the CIFAR-10 datasets
Language Translation with Sequence to Sequence
Models and examples built with TensorFlow
The OpenMined Unity Application
Data visualizations on Prosper data using Dimple.js and D3
A library for encrypted, privacy preserving deep learning - based on PyTorch
Amazon Fine Food Reviews Sentiment Analysis with Recurrent Neural Network
Reinforcement learning techniques for a self-driving agent
Healthcare-Researcher-Connector Package: Federated Learning tool for bridging the gap between Healthcare providers and researchers
Privacy-preserving machine learning with Swift TensorFlow
Analyzed the Stroop effect using descriptive statistics to provide an intuition about the data, and inferential statistics to draw a conclusion based on the results.
Layer on top of TensorFlow for doing machine learning on encrypted data
Learn how to use OpenMined by Example
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.