ychervonyi Goto Github PK
Name: Yuri Chervonyi
Type: User
Company: Google
Bio: Research engineer, PhD in String theory and Supergravity
Location: San Francisco Bay Area
Name: Yuri Chervonyi
Type: User
Company: Google
Bio: Research engineer, PhD in String theory and Supergravity
Location: San Francisco Bay Area
Useful extra functionality for TensorFlow 2.0 maintained by SIG-addons
Basic example of prediction from graph data
Text autoencoder with LSTMs
TensorFlow code and pre-trained models for BERT
Convolutional Neural Network for Text Classification in Tensorflow
CNNs for sentence classification
Deep Learning in Javascript. Train Convolutional (or fully-connected) Neural Networks in your browser.
Keras + tensorflow experiments with knowledge distillation on EMNIST dataset
Code for the paper "Language Models are Unsupervised Multitask Learners"
Keras implementation of Graph Convolutional Networks
Language-Agnostic SEntence Representations
TensorFlow and Keras examples
Handwriting generation by RNN with TensorFlow, based on "Generating Sequences With Recurrent Neural Networks" by Alex Graves
scikit-learn: machine learning in Python
Deep recommender models using PyTorch.
Computation using data flow graphs for scalable machine learning
TensorFlow and Scikit Flow examples
Generative Handwriting using LSTM Mixture Density Network with TensorFlow
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.