Yann Dupis (yanndupis)

yanndupis

Geek Repo

Company:@capeprivacy @tf-encrypted

Location:San Francisco

Home Page:https://yanndupis.github.io/

Github PK Tool:Github PK Tool


Organizations
capeprivacy
tf-encrypted

Yann Dupis's repositories

yanndupis.github.io

Personal Website

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work

source files from different contests

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srijan-gsoc-2020

Healthcare-Researcher-Connector Package: Federated Learning tool for bridging the gap between Healthcare providers and researchers

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flax

Flax is a neural network library for JAX that is designed for flexibility.

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swift-tensorflow-ppml

Privacy-preserving machine learning with Swift TensorFlow

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PySyft

A library for encrypted, privacy preserving deep learning - based on PyTorch

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tf-encrypted

Layer on top of TensorFlow for doing machine learning on encrypted data

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models

Models and examples built with TensorFlow

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atom

:atom: The hackable text editor

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tutorials

Learn how to use OpenMined by Example

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OpenMined

The OpenMined Unity Application

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Bygone

A centralized service with a goal of becoming obsolete.

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language-translation

Language Translation with Sequence to Sequence

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2-chainz

🎤 An experiment in lyric generation using Markov Chains

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face-generation

Generative adversarial networks to generate new images of faces

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RNN-Amazon-Fine-Food-Reviews

Amazon Fine Food Reviews Sentiment Analysis with Recurrent Neural Network

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image-classification

Convolutional neural network to classify images from the CIFAR-10 datasets

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smartcab

Reinforcement learning techniques for a self-driving agent

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Creating-Customer-Segments

Use unsupervised learning techniques to see if any similarities exist between customers, and how to best segment customers into distinct categories.

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Exploratory-Data-Analysis-with-R-Prosper

In this exploratory analysis we will explore a dataset from the company Prosper, who is part of the peer-to-peer lending industry.

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Prosper-Data-Visualizations-with-Dimple.js-and-D3

Data visualizations on Prosper data using Dimple.js and D3

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Building-a-Student-Intervention-System

Trained and tested several supervised machine learning models on a given dataset to predict how likely a student is to pass.

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A-B-test-Free-Trial-Screener

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.

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Identify-Fraud-from-Enron-Email

Identified which Enron employees are more likely to have committed fraud using machine learning and public Enron financial and email data.

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