acoadmarmon Goto Github PK
Name: Andrew Marmon
Type: User
Company: Google DeepMind
Bio: Machine Learning SWE at Google DeepMind
Twitter: acoadmarmon
Name: Andrew Marmon
Type: User
Company: Google DeepMind
Bio: Machine Learning SWE at Google DeepMind
Twitter: acoadmarmon
My solutions to all of the problems from advent of code 2019
My solutions to Advent of Code 2020.
Predict the tags for problems on codeforce based on their text.
We propose an unsupervised learning approach that can be tied back to existing metadata, like mortality, age, BMI, etc. To accomplish this, we will train an Autoencoder model to create a low-dimensional representation of each image (Bank et al. 2020), and then use different clustering methods to determine optimal groupings for these images based on their encoding (Song et al. 2013)(Guo et al. 2017). Once these groups are instantiated, we can then associate image metadata to each cluster to determine whether there are statistically significant attributes tied to specific clusters. If it could be proven that attributes like mortality rate or success with intubation are linked to certain clusters, that information could be incredibly valuable for clinical outcomes. Also, although we have limited prognosis labels, we will also determine autoencoder performance by trying to classify the image based on the encoding using fully connected layers.
My solution to the lanl-earthquake kaggle competition.
📈 Scripts for fetching OHLC (incl. volume) data for cryptocurrencies from online exchanges, such as GDAX or Kraken.
Implementation of ResNet18 using TensorFlow 2.0 Keras API. Currently ResNet 18 is not currently supported in base Tensorflow (see https://www.tensorflow.org/api_docs/python/tf/keras/applications for supported models), so a custom model is necessary to use this architecture.
Recommend users TV shows using Neural Collaborative Filtering (https://www.comp.nus.edu.sg/~xiangnan/papers/ncf.pdf) in PyTorch. This repository contains all code for modelling, training, and predicting on incoming data, and provides a service to run the model to accept http requests and get top picks for the user.
Models and examples built with Swift for TensorFlow
Fine-tuning a Hugging Face BERT model for the United Nations Named Entity Recognition task.
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.