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Name: Matt Paterson
Type: User
Bio: Data Scientist | Machine Learning Engineer
Location: Santa Cruz, California
Name: Matt Paterson
Type: User
Bio: Data Scientist | Machine Learning Engineer
Location: Santa Cruz, California
Finding all Astrophysics Data System papers with ML/NLP
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk
An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.
Pushshift API
Machine Learning University: Accelerated Natural Language Processing Class
Docker containers for running training scripts on AzureML
Official community-driven Azure Machine Learning examples, tested with GitHub Actions.
Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms
Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE
Snapshot from 10-10-2020 of the severity of Covid-19 by county in the US, looking at race and socioeconomic factors
A KMeans Clustering algorithm and a Linear Regression that look at Covid-19 by County
Group Project from Data Science Fellowship at General Assembly re Natural Disasters and Covid-19
Daily update to dashboards at https://DataDemo.me and https://cloudbrigade.com/covid-19-data-exploration
Official Class Github Repo General Assembly's Part Time Data Science Class, starting at 11-15
worked by bowei he(Buaa) and Alex zhao(Umich)
Machine learning models and utilities for exoplanet science.
First Run at detecting exoplanets using RNN, LogisticRegression, and RandomForestClassifier
Full stack, modern web application generator. Using FastAPI, PostgreSQL as database, Docker, automatic HTTPS and more.
Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BERT.
An implementation of model parallel autoregressive transformers on GPUs, based on the DeepSpeed library.
A toolkit for developing and comparing reinforcement learning algorithms.
First Project from the tutorial for GitHub.
Enterprise Scale NLP with Hugging Face & SageMaker Workshop series
Exercise in learning Java - Retirement Calculator
Johns Hopkins Project for Coursera Data Scientists Toolbox
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.