Name: Madeleine Shang
Type: User
Bio: RecSys Team Lead @OpenMined Research | Leading Data Science and ML @WomenWhoCode
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AI / Blockchain Research | Founder | Adventurer | Futurist
Location: Cambridge, MA | Toronto, ONT
Madeleine Shang's Projects
Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker
UNMAINTAINED! - Complete Google Analytics, Mixpanel, KISSmetrics (and more) integration for JavaScript applications.
Source code for paper "How to Backdoor Federated Learning" (https://arxiv.org/abs/1807.00459)
basic jquery/bootstrap calculator - to be converted into MEAN stack
Bayesian Data Analysis course at Aalto
A client library to connect to Dash Core RPC in JavaScript.
Blockchain APIs for bitcore
Extensible full node using dash v0.12.1.x
day1
Being Right when it Really Matters. #ML #Embeddings #NLP #transferLearning
:black_medium_small_square::black_medium_small_square::black_medium_small_square: Stores blockchain headers and verifies transactions with SPV
ruby on rails
🏕 IPFS Camp is a 3 day hacker retreat designed for the builders of the Distributed Web.
crowd sourced camp director and review, Node, Express, MongoDB, Middleware, RESTlayer with CRUD, Authentication & Authorization, Bootstrap, to be Angularized
This lab guides you through using AlexNet and TensorFlow to build a feature extraction network.
Clojure greasy spoon app
A privacy-preserving app for comparing last-known locations of coronavirus patients
exploring and hacking market inefficiencies in cryptocurrencies with machine learning.
me playing with d3
making a trans education / bio site for danica
dash foundation homepage =====>
testing account registration tx with OP_return
early prototype demo of instant transactions on the dash network (bitcore-dash version)
IPython notebooks with demo code intended as a companion to the book "Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control" by J. Nathan Kutz and Steven L. Brunton