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Name: 阳仔Sheli
Type: User
Company: Baidu
Name: 阳仔Sheli
Type: User
Company: Baidu
Winning solution for the National Data Science Bowl competition on Kaggle (plankton classification)
Winning solution to the Kaggle competition - How Much Did It Rain? II
2nd place solution to the Kaggle Right Whale challenge
Prize winning solution to the SeeClickFix contest hosted on Kaggle, developed by teammates Bryan Gregory and Miroslaw Horbal. The purpose of the contest was to train a model (as scored by RMSLE) using supervised learning that will accurately predict the views, votes, and comments that an issue posted to the www.seeclickfix.com website will receive. My teammate and I used this ensemble code base to combine our top ranked individual models to create a prize-winning solution, defeating >500 other teams and winning a prize of $1,000.
Winning solution for the Taxi-Trip Time Prediction Challenge on Kaggle
Some tools that I often find myself using in Kaggle challenges.
Winning solution scripts
Fifth place solution of the Kaggle Diabetic Retinopathy competition.
3rd place solution for the second kaggle national datascience bowl
Kaggle datascience bowl 2017
the data and ipython notebook of my attempt to solve the kaggle titanic problem
Deep Learning library for Python. Runs on TensorFlow, Theano, or CNTK.
Keras Generative Adversarial Networks
Visualizing RNNs using the attention mechanism
Attention mechanism Implementation for Keras.
Keras implementation of Deep Convolutional Generative Adversarial Networks
Keras-tensorflow implementation of Fully Convolutional Networks for Semantic Segmentation(Unfinished)
Using Keras and Deep Q-Network to Play FlappyBird
Keras implementations of Generative Adversarial Networks.
Keras Implementation of Google's Inception-V4 Architecture (includes Keras compatible pre-trained weights)
:book: Some language modeling tools for Keras
Autoencoder network for learning a continuous representation of molecular structures.
Accelerating Deep Learning with Multiprocess Image Augmentation in Keras
Residual networks implementation using Keras-1.0 functional API
Directory of tutorials and open-source code repositories for working with Keras, the Python deep learning library
Keras implementation of RetinaNet object detection.
Deep Reinforcement Learning for Keras.
SqueezeNet implementation with Keras Framework
Text Classification Library in Keras
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.