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Name: Paul Paul
Type: User
Company: zurman
Name: Paul Paul
Type: User
Company: zurman
In this notebook we will explore a machine learning approach to find anomalies in stock options pricing.
This repository will house a visualization that will attempt to convey instant enlightenment of how Attention works to someone not working in artificial intelligence, with 3Blue1Brown as inspiration
A demonstration of the attention mechanism with some toy experiments and explanations.
Tasks to using attention
SOTA punctation restoration (for e.g. automatic speech recognition) deep learning model based on BERT pre-trained model
Bioinformatics with Python Cookbook Second Edition, published by Packt
Run VS Code on a remote server.
Cryptocurrency price prediction using Neural Network
Interactive data analytics
Deep Learning Course
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
TensorFlow documentation
The fastai deep learning library, plus lessons and tutorials
A Tensorflow 2.0 implementation of Graph Isomorphism Networks.
PyTorch Implementation and Explanation of Graph Representation Learning papers involving DeepWalk, GCN, GraphSAGE, ChebNet & GAT.
Jeff Heaton's Kaggle Utilities
Experimental project to punctuate text using a embedding layer, single convolutional layer and output softmax layer written in Keras.
Implementation of the paper - Generative Recurrent Networks for De Novo Drug Design.
Machine Learning Problem Bible | Problem Set Here >>
A course in reinforcement learning in the wild
A bidirectional recurrent neural network model with attention mechanism for restoring missing punctuation in unsegmented text
create maps with the folium package
A short walkthrough that demonstrates how to perform neural style transfer with a pre-trained model.
Example showing how to generate a map with markers, custom markers, circle markers, vega visualizations, Geojson and choropleth maps
Deep Learning (with PyTorch)
Python Implementation of Reinforcement Learning: An Introduction
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.