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Name: life
Type: User
Bio: Pay attention to data mining, machine learning, deep learning, applying technology to recommendation.
Name: life
Type: User
Bio: Pay attention to data mining, machine learning, deep learning, applying technology to recommendation.
Implementation of RankNet with chainer (python neural network library)
My (slightly modified) Keras implementation of RankNet and PyTorch implementation of LambdaRank.
Learning to rank using gradient descent
Tensorflow implementation of Restricted Boltzman Machine(RBM) and Autoencoder with layerwise pretraining.
Dimensionality Reduction with Neural Networks
My python implementation of RBM and denoising Autoencoder for pre-training
experiments and datasets used for the paper "A Deep Learning Approach to Unsupervised Ensemble Learning"
An R Package with Boosting and SMOTEBoost implementations for Regression Tasks
A unified, comprehensive and efficient recommendation library
Classical RecSys algorithms implemented by using TensorFlow Estimators
利用MovieLens数据,Pearson相似度,分别基于User和Item构建一个简单的kNN推荐系统,并给出RMSE评测
Minimal and Clean Reinforcement Learning Examples
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
🤖 Implements of Reinforcement Learning algorithms.
This repository contains most of classic deep reinforcement learning algorithms, including - DQN, DDPG, A3C, PPO, TRPO. (More algorithms are still in progress)
solutions to the examples and exercises
Python Implementation of Reinforcement Learning: An Introduction
Programming solutions and textbook notes for David Silver's Reinforcement Learning Course
Code repository for my course on the fundamentals of reinforcement learning
A collection of Reinforcement Learning algorithms from Sutton and Barto's book and other research papers implemented in Python.
Simple Reinforcement learning tutorials
Implementation of selected reinforcement learning algorithms in Tensorflow. A3C, DDPG, REINFORCE, DQN, etc.
这是一个学习强化学习基础原理学的仓库,里面有对于深入浅出强化学习原理入门一些例子和课后作业的代码
This code is written for the blogs
利用强化学习预测股价变化
Minimal implementations of reinforcement learning algorithms by Tensorflow
Representation-Learning-on-Heterogeneous-Graph
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.