qifeng2010 Goto Github PK
Type: User
Type: User
Implementation of Attention-Based Neural Matching Model Proposed in CIKM16 for Answer Sentence Selection
A curated list of awesome pipeline toolkits inspired by Awesome Sysadmin
OpenAI Gym environment for Backtrader trading platform
Java-Based Context-aware Recommendation Library
Python implementations of contextual bandits algorithms
Repo for coursera specialization Machine Learning by University of Washington
Yuhao's cheat sheet for Spark DataFrame
Minimal Deep Q Learning (DQN & DDQN) implementations in Keras
Deep neural networks for voice conversion (voice style transfer) in Tensorflow
A set of Deep Reinforcement Learning Agents implemented in Tensorflow.
The world's simplest facial recognition api for Python and the command line
TensorFlow CNN for fast style transfer! β‘π₯π¨πΌ
The Cognitive Foundry is an open-source Java library for building intelligent systems using machine learning
Java interview guide
Implementations of model-based Inverse Reinforcement Learning (IRL) algorithms in python/Tensorflow. Deep MaxEnt, MaxEnt, LPIRL
A Java implementation of libFM(Factorization Machine Library)
NPI(Neural Programmer-Interpreters) implementation with Keras
A repository with over 7000 solutions to more thanΒ 1800 Leetcode problems written in C++, Python, Java, and Javascript.
Multinomial Factorization Machines
MXNet code CDL
Neural Collaborative Filtering
Data Exploration in PySpark made easy - Pyspark_dist_explore provides methods to get fast insights in your Spark DataFrames.
AAAI 2018 - Unsupervised video summarization with deep reinforcement learning (PyTorch)
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
Code for Deep RL from Human Preferences [Christiano et al]. Plus a webapp for collecting human feedback
A unified approach to explain the output of any machine learning model
Implementation of Factorization Machines on Spark using parallel stochastic gradient descent (python and scala)
The Synthetic Minority Oversampling Technique (SMOTE) implemented in Spark.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
π 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. πππ
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 β€οΈ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.