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Name: Wayne Satz
Type: User
Bio: Emergency Physician, Epic builder, and Data Scientist
Location: Phila, PA
Name: Wayne Satz
Type: User
Bio: Emergency Physician, Epic builder, and Data Scientist
Location: Phila, PA
Convolutional Variational Autoencoder for classification and generation of time-series
This repository holds all the code for the site http://www.adventuresinmachinelearning.com
AffinityNet with feature attention layer and kNN attention pooling layer for few-shot semi-supervised learning
An open-source NLP research library, built on PyTorch.
Notebooks for the Altair tutorial
Anomaly detection using Autoencoder implemented with Keras 2.
Concatenated p-mean Embeddings as Universal Cross-Lingual Sentence Representations
An SDK for commercial device makers to integrate Alexa directly into connected products.
A model for learning distributed representations of MLB players.
super resolution with conditional GANs
Keras implementation of a conditional Wasserstein GAN
conditional variational autoencoder written in Keras
Simple implementation of Conditional Variational Autoencoder
We applied an ARIMA-LSTM hybrid model to predict future price correlation coefficients of two assets
This is the native Python implementation of CPT(compact Prediction Tree)
Using various machine learning algorithms to identify fraudulent transactions on a highly imbalanced dataset
iPython notebook and pre-trained model that shows how to build deep Autoencoder in Keras for Anomaly Detection in credit card transactions data
Repository of code used for text processing tutorial series
Generating sign language images with DCGAN using our own Sign Language Dataset
Keras implementation of "DeblurGAN: Blind Motion Deblurring Using Conditional Adversarial Networks"
An on going implementation of the gcForest algorithm
A model combining Deep Neural Networks and (Stochastic) Random Forests.
Pytorch implementations of various Deep NLP models in cs-224n(Stanford Univ)
A series of Docker images (and their generator) that allows you to quickly set up your deep learning research environment.
Config files for my GitHub profile.
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.